6162 Redis Jobs - Page 7

What You Can Expect Zoom is seeking a highly qualified and experienced full stack senior software engineer (Java). Developing and maintaining IT cloud native solutions in our CPQ, Order to Cash and other business areas. This strategic position requires an engineer with exceptional initiative and precise attention to detail. The ideal candidate excels at complex challenges and shares our commitment to developing superior software. Furthermore, if you are dedicated to advancing Zoom's evolution into an agile, responsive, and customer-focused enterprise application organization, this role presents an optimal opportunity. About The Team This engineering position would play a pivotal role in architecting, designing, building and supporting the full-stack cloud-native solutions to address the channels business enablement targets. This includes the self-service experience supporting quoting and ordering for Zoom’s partner ecosystem. These range from software development and machine learning to quality assurance teams that work to create and maintain Zoom's user-friendly interfaces and robust infrastructure. If you are excited about the potential of leading Zoom’s continued evolution into a customer-obsessed enterprise application organization, then this role is for you! What We’re Looking For Have a BS/MS in Computer Science or equivalent. 12+ years of backend/full-stack development experience. Expert knowledge in Java and core technologies (JVM, multithreading, IO, network). Have mastery of Java Spring MVC, Spring Boot, RESTful APIs. Experience building low-latency microservices and API publishing. Have understanding of authentication/authorization (OAuth, JWT). Have expertise in SQL/NoSQL databases (MySQL, MongoDB, DynamoDB). Experience with caching systems (Redis, Memcache) - Knowledge of search technologies (ElasticSearch, Lucene, Solr). Cloud services experience (AWS, GCP, Azure) - Containerization and CI/CD (Docker, Jenkins) - Linux systems and application servers (nginx, Tomcat). Have design patterns and coding best practices. System reliability and scalability in cloud infrastructure. Experience with failover and circuit breaking patterns. Have application logging and performance monitoring experience. Proficiency with tools like Splunk, ELK, Datadog, Prometheus .System maintenance and troubleshooting. Have experience with version control (Git) and build tools (Maven/Gradle). Secure coding practices and OWASP guidelines - Localization/internationalization implementation. Have excellent verbal and written communication. Collaborative team player with consensus-building ability. Problem-solving skills for complex technical challenges Ways of Working Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting. Benefits As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information. About Us Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment. Our Commitment At Zoom, we believe great work happens when people feel supported and empowered. We’re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know—we’re here to support you at every step. If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.

About NxtWave: NxtWave is one of India’s fastest-growing edtech startups, transforming the way students learn and build careers in tech. With a strong community of learners across the country, we’re building cutting-edge products that make industry-ready skills accessible and effective at scale. What will you do: Build and ship full-stack features end-to-end (frontend, backend, data). Own your code – from design to deployment with CI/CD pipelines. Make key architectural decisions and implement scalable systems. Lead code reviews, enforce clean code practices, and mentor SDE-1s. Optimize performance across frontend (Lighthouse) and backend (tracing, metrics) Ensure secure, accessible, and SEO-friendly applications. Collaborate with Product, Design, and Ops to deliver fast and effectively. Work in a fast-paced, high-impact environment with rapid release cycles. Requirements (Mandatory): 3–5 years of experience building full-stack applications. We expect strong understanding and proficiency in the following: React (or Angular/Vue), TypeScript, Node.js / NestJS / Django / Spring Boot. REST/GraphQL APIs, relational & NoSQL databases. Docker, AWS (Lambda, EC2, S3, API Gateway), Redis, Elasticsearch. Testing experience – unit, integration, and E2E (Jest, Cypress, Playwright). Strong problem-solving, communication, and collaboration skills. Passion for learning, ownership, and building great software. Location: Hyderabad (In-office) Apply here:- https://forms.gle/o2AWAa3JrkTEYkix6

About Company: Glowingbud is a rapidly growing eSIM services platform that simplifies connectivity with powerful APIs, robust B2B and B2C interfaces, and seamless integrations with Telna. Our platform enables global eSIM lifecycle management, user onboarding, secure payment systems, and scalable deployments. Recently acquired by Telna (https://www.telna.com), we are expanding our product offerings and team to meet increasing demand and innovation goals. Key Responsibilities: API Development: Design, develop, optimize, and maintain high-performance RESTful APIs using Node.js and MongoDB. Scalability & Performance: Optimize backend performance for handling large data volumes and high-traffic production environments. Multi-Tenant SaaS: Develop and maintain multi-tenant architectures ensuring data policies, security, scalability, and efficiency. Microservices Architecture: Design and implement microservices-based solutions, ensuring modularity and maintainability. Database Management: Proficiently manage and optimize MongoDB, including indexing, aggregation, and performance tuning. System Engineering: Work with DevOps to ensure scalability, reliability, and security of backend systems. Product Development: Collaborate with product teams to build long-term, scalable backend solutions. Code Quality & Security: Write clean, maintainable, and secure code following industry best practices. Enforce coding standards, conduct detailed code reviews. Monitoring & Debugging: Implement logging, monitoring, and debugging tools to ensure system reliability. Collaboration: Work closely with frontend teams and DevOps to ensure seamless API integrations and deployments. Qualifications: 7+ years of experience in backend development with Node.js and MongoDB. Strong understanding of microservices architecture and system design principles. Experience in building and maintaining multi-tenant SaaS applications. Proven experience handling large-scale data and high-traffic production systems. Proficiency in MongoDB, including schema design, indexing strategies, and performance optimization. Experience with event-driven architecture and messaging queues (e.g., AWS SQS, RabbitMQ, Kafka). Knowledge of authentication and authorization mechanisms (JWT, AWS Cognito, SSO). Strong experience with API development best practices, security, and rate limiting. Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines. Proficiency in cloud services (AWS, GCP, or Azure) for backend infrastructure. Preferred Skills: Experience with Redis, ElasticSearch, or other caching mechanisms. Knowledge of serverless architectures and cloud-native development. Exposure to REST / gRPC for API communication. Understanding of data streaming and real-time processing. Experience with NoSQL and relational database hybrid architectures. Familiarity with observability tools (Prometheus, Grafana, ELK Stack). Experience in automated testing for backend systems.

Company Description SBS is a global financial technology company that’s helping banks and the financial services industry to reimagine how to operate in an increasingly digital world. SBS is a trusted partner of more than 1,500 financial institutions and large-scale lenders in 80 countries worldwide, including Santander, Societé Generale, KCB Bank, Kensington Mortgages, Mercedes-Benz, and Toyota FS. Its cloud platform offers clients a composable architecture to digitize operations, ranging from banking, lending, compliance, to payments, and consumer and asset finance. With 3,400 employees in 50 offices, SBS is recognized as a Top 10 European Fintech company by IDC and as a leader in Omdia’s Universe: Digital Banking Platforms. Job Description What You’ll Do Design and Implement Test Automation Strategy: Develop and own a comprehensive test automation strategy covering all levels of testing – unit, component, integration, and end-to-end – across the platform’s microservices and user interfaces. Ensure that each layer of the tech stack has appropriate automated test coverage for fast, high-quality releases. Drive Full-Stack Test Coverage: Proactively identify functional coverage gaps and under-tested areas – especially in the UI, API, and caching layers (e.g. Redis) – and address them with improved automated tests. Continuously raise the bar on test effectiveness by expanding coverage and improving test scenarios for edge cases and failure conditions. Build & Enhance Automation Frameworks: Architect and implement robust test automation frameworks for different domains of testing as required. This includes improving our UI automation (using Cypress or similar), strengthening API testing frameworks (using K6 or similar), and establishing performance testing to simulate load and stress. You will ensure these frameworks are scalable, maintainable, and aligned with a modern JVM/Spring Boot & Angular tech stack. Select and Integrate Testing Tools: Evaluate and implement or enhance the right set of automation tools and libraries that best fit our stack (Java/Kotlin, Spring Boot backend, Angular frontend). If needed, introduce new tools or testing approaches (e.g. BDD, contract testing) to improve quality. Ensure that our choice of tools (testing frameworks, assertion libraries, reporting tools) maximizes efficiency and developer friendliness. Embed Testing in CI/CD Pipelines: Integrate automated tests into our GitLab CI/CD pipelines as quality gates. Implement continuous testing practices so that every code commit triggers automated test suites (unit, API, UI, performance), providing rapid feedback on failures. You will lead the evolution of our continuous testing strategy within the CI/CD pipeline, ensuring that no code reaches production without passing the necessary checks. Manage Test Environments & Data: Oversee test environment provisioning and test data management. Use AWS cloud infrastructure and Infrastructure-as-Code (Terraform) to set up and tear down test environments on demand, automate test data creation/seeding, and ensure test environments mimic production for reliable results. Maintain data integrity and compliance (GDPR, PCI DSS, etc.) in test datasets given the regulatory environment. Collaborate and Champion Quality: Work closely with developers, DevOps engineers, product managers, and other stakeholders to instill an automation-first mindset. Through design reviews, code reviews, and regular sync-ups, ensure testing considerations are part of planning and development. Act as a quality evangelist, coaching teams on best practices and helping to troubleshoot testing challenges. Influence and improve the overall engineering quality culture, making sure that quality is a shared responsibility across the team. Ensure Compliance and Reliability: In a SaaS, cloud-native environment with rapid sprint cycles, ensure our test processes and frameworks account for strict regulatory constraints and security requirements of the banking domain. Design test scenarios for regulatory compliance (e.g. PSD2, GDPR, PCI) and fail-safes for sensitive financial workflows, so that our platform remains compliant and reliable under all conditions. Monitor, Report, and Improve: Define and track quality KPIs such as automated test coverage, test pass rates, defect leakage, and performance benchmarks. Regularly report on quality status to stakeholders. Use these insights to continually improve test strategies – optimize test execution time, enhance CI/CD feedback loops, and ensure that automation delivers tangible value in catching issues early. Qualifications Minimum Qualification Extensive QA & Automation Experience: Bachelor’s/Master’s degree in Computer Science or related field (or equivalent experience). 18 to 25 years in software testing/QA, with at least a few years in a test automation architect or lead role for complex software products. You have a track record of designing automation solutions for large-scale, distributed systems. Hands-on Automation Skills: Proven experience in building and maintaining automated test frameworks for web applications and APIs. You are a hands-on coder with deep programming skills in languages like Java or other JVM languages, and comfortable scripting in JavaScript/TypeScript or Python when needed. You write clean, maintainable test code and are familiar with design patterns for test automation. Testing Framework Expertise: In-depth knowledge of modern testing tools and frameworks. You have worked with UI automation (e.g. Cypress, Selenium, or Playwright), API testing (e.g. K6, RestAssured, Postman/Newman, or similar), and performance testing tools (e.g. k6, JMeter, Gatling). You understand testing across different layers – including contract testing of microservices, database validation, and can even script tests around caching layers like Redis if required. CI/CD and DevOps Know-how: Solid experience integrating test automation into CI/CD pipelines. You are familiar with Git-based workflows and tools like GitLab CI (or Jenkins/Azure DevOps etc.), and can write pipeline scripts/jobs to run tests, handle artifacts, and report results. Knowledge of Docker/Kubernetes for containerized test execution is a plus. Cloud and Infrastructure Skills: Experience working in cloud environments (AWS) and using Terraform or other IaC tools to manage infrastructure. You understand how to set up test environments in the cloud, manage configurations (perhaps using Docker compose or Kubernetes manifests), and utilize cloud services for testing (S3, databases, etc.). Quality Mindset & Soft Skills: An automation-first mindset – you consistently look to automate repetitive testing tasks and reduce manual effort. Excellent analytical and problem-solving abilities to debug test failures and pinpoint issues across complex systems. Strong collaboration and communication skills to work with cross-functional teams and to advocate for quality practices. You are comfortable leading discussions on testing strategy, providing constructive feedback, and influencing without authority when necessary. Attention to Detail and Accountability: A keen eye for detail in identifying edge cases, race conditions, and potential failure points that others might miss. High sense of ownership and accountability for product quality – you take pride in catching issues early and ensuring the customer experience is flawless. Preferred Qualifications Domain Expertise: Experience in banking, fintech, or financial services domains, especially in core banking, payments, or digital lending. Understanding of banking workflows and regulations helps you design better test scenarios and compliance checks. Performance & Security Testing: Advanced experience with performance testing (analyzing throughput, latency, bottlenecks) and exposure to security testing in financial applications. Familiarity with tools for security scanning or vulnerability testing in CI/CD is a plus. Leadership & Certifications: Prior experience leading a QA/Automation team or mentoring other QA engineers. Relevant certifications (e.g. ISTQB Advanced Test Manager/Architect, Certified Agile Testing, AWS Cloud Practitioner) can be a plus, but proven skills matter more. Additional Tools: Exposure to monitoring/observability tools (e.g. Grafana, Kibana) to correlate test results with system metrics. Experience with contract testing (e.g. Pact) or service virtualization in complex integrations. Any experience in using AI/ML tools for testing or predictive quality analytics would be an extra bonus (showing you stay on the cutting edge). Additional Information Secondary Location:Noida Campus At our organization, we are committed to fighting against all forms of discrimination. We foster a work environment that is inclusive and respectful of all differences. All of our positions are open to people with disabilities. At our organization, we are committed to fighting against all forms of discrimination. We foster a work environment that is inclusive and respectful of all differences. All of our positions are open to people with disabilities.

This role is for one of Weekday's clients Salary range: Rs 3000000 - Rs 5000000 (ie INR 30-50 LPA) Min Experience: 3 years Location: Bengaluru JobType: full-time Requirements Requirements 2+ years backend development with Python, PostgreSQL, Redis Built and scaled systems from scratch Strong system design, API, and database optimization skills Experience with REST APIs, Git, deployment workflows Proficiency with analytics and debugging tools Clean code mindset, ownership, and scalability focus Product-oriented with strong problem-solving Tier-1 college background (IITs, NITs, BITs) in CS or IT (mandatory) Responsibilities Lead development of high-performance FastAPI backend services Architect DB schemas, optimize queries, ensure data consistency Implement Redis caching and background job pipelines Integrate AI/LLMs for recommendations, search, automation Own full feature lifecycle: concept → production → testing → iteration Build internal dashboards for data-driven insights Collaborate with product, design, and frontend teams Maintain scalable, clean, maintainable codebase Debug and resolve system issues end-to-end Adapt and onboard new tools or tech stacks as needed

Job Description: About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities, and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Global Business Services Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations. Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence, and innovation. In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services. Process Overview: Reference Data Technology is responsible for the strategy, sourcing, maintenance, and distribution of Reference Data across the Bank. It is also responsible for Global Markets Client Onboarding, Reg W, and FMU Reporting. Reference Data comprises 3 main categories - Client, Instrument and Book. Reference Data Technology is a provider of data for Front to Back Flows, Enterprise Supply Chain, Risk, Banking, GWIM and Compliance. PME and Bookmap are the firm's Authorized Data Sources for Instrument and Book data. Cesium is the System of Record for Client data in Global Markets. Some of the data domains include but are not limited to: Client Counterparty: Organizations, Individuals, Prospects, Contacts Client Accounts & SSIs: Cash, Derivatives, Processing Book: trading Books, Subledgers, Volcker classifications Instruments: Listed Products, Cleared Products, EOD Pricing, Holiday Calendars Job Description Generative AI (GenAI) presents an exciting opportunity to derive valuable insights from data and drive revenue growth, efficiencies, and improved business processes. Technology will collaborate with Global Markets Sales & Trading, Quantitative Strategies & Data Group (QSDG) & Platform teams to the design and buildout its global GenAI platform. The platform will cater to a rapidly growing number of use cases that harness the power of GenAI. Both proprietary and open-source Large Language Models, and large structured and un-structured data sets will be leveraged to produce insights for Global Markets and its clients. We are seeking a Software Engineer to build this platform. In this role, you will ensure that software is developed to meet functional, non-functional and compliance requirements, and solutions are well designed with maintainability/ease of integration and testing built-in from the outset. Hands-on engagement in the full software lifecycle activities is expected. This includes requirements analysis, architecture design, coding, testing, and deployment. Job expectations include a strong knowledge of development and testing practices common to the industry and design and architectural patterns. Responsibilities: Hands on people and project manager role. Responsible for managing a mid-sized team and also oversee their deliverables on day-to-day basis Expected to contribute in his/her own individual capacity to software development and design and code reviews Design, develop, and modify architecture components, application interfaces, and solution enablers while ensuring principal architecture integrity is maintained. Mentor other software engineers and coach team on Continuous Integration and Continuous Development (CI-CD) practices and automating tool stack. Code solutions and implement automated unit tests to deliver a requirement/story per the defined acceptance criteria and compliance requirements. Help evaluate and execute a proof of concept as necessary to implement new ideas or mitigate risk. Design, develop, and maintain automated test suites (integration, regression, performance). Ensure solution meets product acceptance criteria with minimal technical debt. Troubleshoot build and setup failures and facilitate resolution. Ensure execution and delivery meets technology’s expectations in terms of the functionality, quality, performance, reliability, and timeline. Communicate status frequently to technology partners. Requirements: Education: BE / BTech / MTech / MCA / MSc Certifications (if any): NA Experience Range: 15 to 20 years in similar roles. Preferably in the financial industry Foundational Skills: Some exposure to manage mid-sized teams Hands-on experience in AI/Gen AI system design, implementation, and scaling, with expertise in large language models (LLMs) and AI frameworks. Expertise in Advanced of Python Development and full-stack technologies. Proven ability to architect enterprise-scale solutions Hands-on experience in application development in one or more areas MongoDB, Redis, React Framework, Impala, Autosys, FAST API services, Containerization. Working in large sized teams that collaboratively develop on a shared multi-repo codebase using IDEs (e.g. VS Code rather than Jupyter Notebooks), Continuous Integration (CI), Continuous Deployment (CD) and Continuous Testing Hands-on DevOps experience with one or more of the following enterprise development tools: Version Control (GIT/Bitbucket), Build Orchestration (Jenkins), Code Quality (SonarQube and pytest Unit Testing), Artifact Management (Artifactory) and Deployment (Ansible) Experience with agile development methodologies and building supportability into applications Excellent analytical and problem-solving skills. Experience with developing frameworks and tools specific to AI/ML applications. Familiarity with cloud platforms and development in cloud environments. Ability to communicate clearly and effectively to a wide range of audience (business stakeholders, developer & support teams). Self-starter. Able to break down complex problems into smaller problems, manage dependencies, and efficiently drive through to a solution Detail oriented & highly organized. Adaptable to shifting & competing priorities. Desired Skills: Experience in Global markets domain Work Timings : 11:30am to 8:30pm IST Job Location: Chennai

About Zakysoft Solutions Zakysoft Solutions is a growing software company delivering innovative digital solutions across industries. We’re seeking passionate, driven individuals eager to build real-world backend skills with a high-energy team based in Kozhikode. Key Responsibilities Assist in developing and maintaining backend services using PHP Laravel (and introductory exposure to Node.js). Help design, optimize, and manage MySQL and PostgreSQL databases. Implement and document RESTful APIs for integration with front-end and third-party systems. Write clean, efficient, and maintainable code under the guidance of senior developers. Participate in performance tuning, caching (Redis/Memcached) and simple queue setups. Support deployments to cloud platforms (AWS/GCP) and learn best practices for scalability and high availability. Collaborate in agile scrum ceremonies; stand-ups, sprint planning and retrospectives. Debug and troubleshoot issues to ensure a seamless user experience. Requirements Currently pursuing or recently completed a degree in Computer Science, Engineering or related field. Basic familiarity with PHP and the Laravel framework. Exposure to any JavaScript runtime (Node.js preferred). Understanding of relational databases (MySQL, PostgreSQL). Strong problem-solving mindset and eagerness to learn new technologies. Effective communication and teamwork skills. Nice to Have Hands-on or academic experience with Docker, Kubernetes or other container tools. Awareness of microservices principles. Familiarity with DevOps practices and CI/CD pipelines. Internship Details Duration: 3–6 months Location: Kozhikode office Stipend and benefits: based on experience and duration Why Join Us? Real-world experience on challenging, impactful projects Mentorship from seasoned backend engineers Collaborative, growth-focused environment Opportunity to convert to a full-time role upon successful completion How to Apply: Please send your resume and a brief cover letter outlining your interest and availability to hr@zakysoft.com. We look forward to helping you launch your backend development career! Job Type: Internship Contract length: 3-6 months Location Type: In-person Schedule: Monday to Friday Work Location: In person

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY GDS – Data and Analytics (D&A) – Senior – Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 3-7 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

About Chubb Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb employs approximately 40,000 people worldwide. Additional information can be found at: www.chubb.com. About Chubb India At Chubb India, we are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. We are proud to share that we have been officially certified as a Great Place to Work® for the third consecutive year, a reflection of the culture at Chubb where we believe in fostering an environment where everyone can thrive, innovate, and grow With a team of over 2500 talented professionals, we encourage a start-up mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude. We are dedicated to building expertise in engineering, analytics, and automation, empowering our teams to excel in a dynamic digital landscape. We offer an environment where you will be part of an organization that is dedicated to solving real-world challenges in the insurance industry. Together, we will work to shape the future through innovation and continuous learning. Position Details We are looking for a Support Engineer with strong experience in supporting applications. We offer an attractive and dynamic international working environment with opportunities for travel and professional development, reflecting our conviction that people are our most important asset. Our support engineers manage the next-generation technologies that change how billions of users connect, explore, and interact with insurance companies. Our products need to handle information on a massive scale. We're looking for engineers who bring the best ideas from all areas, including application management, application sustenance needs, Application monitoring, application deployment needs, oversee application deployments, application support, the list goes on and is growing every day. We need our engineers to be versatile, display leadership qualities and be enthusiastic to tackle problems and requests across from applications to the underlying infrastructure on which applications are running. Major Duties and Responsibilities Application support ( Incident Triage, RCA, and Fix Code/Config/ Data/ Emergency fixes) Deployment needs ( Change management coordination/ Release certification) Standardize/Optimize: Support needs (KB articles), Alert Reduction, Automations Infrastructure support ( Changes and followups with relevant teams) Performance tuning , Security Vulnerability changes Participate in Life Cycle Management of support. Monitor and enforce proactive assessments for application asserts Extend support with the Infrastructure and DevOps team on monitoring and alerts refinements Learning curve on application technology stack Provide fucntional guidance and support various stakeholders Regulatory / Compliance / Audit support Defects/System Bug < 40 hours of development Work indipendently with minimal support Follow-up on Problems related to infrastructure/Network/ Vendor issues Technical Skills (preferred) Cloud Technologies Azure, Azure Kubernets Service , App services Application Technologies Full Stack .NET , Angular , JavaScript, jQuery, HTML5, CSS Databases Mongo DB, Cosmos, Blob Storage, Azure Table Storage, Redis Cache, SQL, Tools Visual Studio Code, Browser developer tools, Service Now, Postman Version Control Tools GitHub Build and Deployment Tools Jenkins, JIRA, Swagger, Docker, Kubernetes, Apache Httpd Monitoring Tools Azure Appinsights, Kibana, OpenSearch Good to Have Support Experience, ITSM/ITIL, SRE, Azure Fundamentals , Service now Experience 3 - 6 years’ experience in support which involved shift working hours Willing to work in shifts Excellent Experience working with best support practices Proven track record in adhering to SLA’s for support tickets Experience in supporting Azure, docker, and Kubernetes activities is a must. Exposure in Continuous Development and Continuous Integration DevOps methodologies and processes Experience in supporting InsureTech applications is a big plus Proven experience in collaborating and working in small teams or projects Fluent in English both written and spoken Outstanding communication and presentation abilities Ability to work autonomously, well organised Pragmatic and open-minded Passionate about learning new technologies and concepts Strong experience with matrix organization and business projects multi-disciplinary teams International exposure and multi-cultural experience Qualifications B.Tech/BE/MCA/M.Tech degree in Computer Science, similar technical field of study or equivalent practical experience. Software support experience in one or more general purpose programming languages. Infrastructure support experience on Docker and Container Environments. Working proficiency and communication skills in verbal and written English. · Why Chubb? Join Chubb to be part of a leading global insurance company! Our constant focus on employee experience along with a start-up-like culture empowers you to achieve impactful results. Industry leader: Chubb is a world leader in the insurance industry, powered by underwriting and engineering excellence A Great Place to work: Chubb India has been recognized as a Great Place to Work® for the years 2023-2024, 2024-2025 and 2025-2026 Laser focus on excellence: At Chubb we pride ourselves on our culture of greatness where excellence is a mindset and a way of being. We constantly seek new and innovative ways to excel at work and deliver outstanding results Start-Up Culture: Embracing the spirit of a start-up, our focus on speed and agility enables us to respond swiftly to market requirements, while a culture of ownership empowers employees to drive results that matter Growth and success: As we continue to grow, we are steadfast in our commitment to provide our employees with the best work experience, enabling them to advance their careers in a conducive environment Employee Benefits Our company offers a comprehensive benefits package designed to support our employees’ health, well-being, and professional growth. Employees enjoy flexible work options, generous paid time off, and robust health coverage, including treatment for dental and vision related requirements. We invest in the future of our employees through continuous learning opportunities and career advancement programs, while fostering a supportive and inclusive work environment. Our benefits include: Savings and Investment plans: We provide specialized benefits like Corporate NPS (National Pension Scheme), Employee Stock Purchase Plan (ESPP), Long-Term Incentive Plan (LTIP), Retiral Benefits and Car Lease that help employees optimally plan their finances Upskilling and career growth opportunities: With a focus on continuous learning, we offer customized programs that support upskilling like Education Reimbursement Programs, Certification programs and access to global learning programs. Health and Welfare Benefits: We care about our employees’ well-being in and out of work and have benefits like Employee Assistance Program (EAP), Yearly Free Health campaigns and comprehensive Insurance benefits. Application Process Our recruitment process is designed to be transparent, and inclusive. Step 1: Submit your application via the Chubb Careers Portal. Step 2: Engage with our recruitment team for an initial discussion. Step 3: Participate in HackerRank assessments/technical/functional interviews and assessments (if applicable). Step 4: Final interaction with Chubb leadership. Join Us With you Chubb is better. Whether you are solving challenges on a global stage or creating innovative solutions for local markets, your contributions will help shape the future. If you value integrity, innovation, and inclusion, and are ready to make a difference, we invite you to be part of Chubb India’s journey. Apply Now: Chubb External Careers TBD

Cust Experience Engineer 2 Hyderabad, Telangana, India Date posted Jul 29, 2025 Job number 1850854 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Program Management Discipline Customer Experience Engineering Employment type Full-Time Overview We are the ACES Strategic team (Advanced Cloud Engineering & Supportability), a global engineering team in Azure CXP and we are focused on Strategic Azure Customers. We are customer-obsessed problem-solvers. We orchestrate and drive deep engagements in areas like Incident Management, Problem Management, Support, Resiliency, and empowering the customers. We represent the customer and amplify customer voice with Azure Engineering connecting to the quality vision for Azure. We innovate and find ways to scale our learning across our customer base. Diversity and inclusion are central to who we are, how we work, and what we enable our customers to achieve. We know that empowering our customers starts with empowering our team to show up authentically, work in ways that are best for them, and achieve their career goals. Every minute of every day, customers stake their entire business and reputation on the Microsoft Cloud. The Azure Customer Experience (CXP) team believes that when we meet our high standards for quality and reliability, our customers win. If we falter, our customers fail their end-customers. Our vision is to turn Microsoft Cloud customers into fans. Are you constantly customer-obsessed and passionate about solving complex technical problems? Do you take pride in enhancing customer experience through innovation? If the answer is Yes, then join us and surround yourself with people who are passionate about cloud computing and believe that extraordinary support is critical to customer success. As a customer focused Advanced Cloud Engineer, you are the primary engineering contact accountable for your customer’s support experience on Azure. You will drive resolution of critical and complex problems, support key customer projects on Azure and be the voice of the customer within Azure. In this role, you will work in partnership with Customer Success Account Managers, Cloud Solution Architects, Technical Support Engineers, and Azure engineering with our mission to turn Azure customers into fans with world-class engineering-led support experience. This role is flexible in that you can work up to 50% from home. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor’s degree in engineering, Computer Science, or related field AND 6+ years of experience in Software industry experience related to technology OR equivalent experience. 4 years of demonstrated IT experience supporting and troubleshooting enterprise level, mission-critical applications resolving complex issues/situations and driving technical resolution across cross-functional organizations. 2+ years experience in an external customer / client facing role. 2+ years of experience working on cloud computing technologies. Experience with being on-call. Technical Skills: Cloud computing technologies. Demonstrated hands on experience in one or more of the following: Core IaaS: Compute, Storage, Networking, High Availability. Data Platform and Bigdata: SQL Server, Azure SQL DB, HDInsight/Hadoop, Machine Learning, Azure Stream Analytics, Azure Data Factory / Data Bricks. Azure PaaS Services: Redis Cache, Service Bus, Event Hub, Cloud Service, IoT suite, Mobile Apps, etc. Experience in Monitoring related technologies like Azure Monitor, Log Analytics, Resource Graph, Azure Alerts, Network Watcher, Grafana, Ambari, Prometheus, Datadog, Confluent, etc. Experience in deploying, configuring, and operating enterprise Monitoring solutions. Experience in one or more automation languages (PowerShell, Python, C#, Open Source). Communication skills: ability to empathize with customers and convey confidence. Able to explain highly technical issues to varied audiences. Able to prioritize and advocate customer’s needs to the proper channels. Take ownership and work towards a resolution. Customer Obsession: Passion for customers and focus on delivering the right customer experience. Growth Mindset: Openness and ability to learn new skills and technologies in a fast-paced environment. The ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Responsibilities Technically Oriented With minimal oversight, track customer incidents, engage with strategic customers and partners to understand issues, contribute to troubleshooting through diagnostics, communicate progress and next steps to customers with a focus on reducing time taken to mitigate critical incidents. Use engineering and support tools, customer telemetry and/or direct customer input to detect and flag issues in the products or with the customer usage of the products. Help customers stay current with best practices by sharing content. Identify and leverage developmental opportunities across product areas and business processes (e.g., mentorships, shadowing, trainings) for professional growth and to develop technical skills to resolve customer issues. Customer Solution Lifecycle Management With minimal guidance, serve as a connecting point between the product team and customers throughout the engagement life cycle, engage with customers to understand their business and availability needs, develop and offer proactive guidance on designing configurations and deploying solutions on Azure with support from subject matter experts. Handle critical escalations on customer issues from the customer or support or field teams, conduct impact analysis, help customers with answers to their technical questions, and serve as an escalation resource in areas of subject matter expertise. Conduct in-depth root cause analysis of issues and translates findings into opportunities for improvement and track and drive them as repair items. Relationship/Experience Management Act as the voice of customers and channel product feedback from strategic customers to product groups. Identify customer usage patterns and drive resolutions on reoccurring issues with product groups. Close the feedback loop with the customers on product features. With minimal guidance, partner with other teams (e.g., program managers, software engineers, product, customer service support teams), prioritize, unblock, and resolve critical customer issues. Collaborate with stakeholders to support delivery of solutions to strategic customers and resolving customer issues. Embody our culture and values. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Job Purpose We are seeking an exceptionally talented engineer who is ready to relocate to Costa Rica and to join our growing software engineering team with a strong focus on applied AI. In this role, you will collaborate with cross-functional, distributed teams to design and build scalable, AI-driven solutions that address real-world challenges across the organization. You will work closely with internal stakeholders to gather and analyze requirements, translating them into robust technical solutions that enhance productivity and operational efficiency. Desired Skills and Experience Essential skills At least 5 years of work experience. Strong programming skills, preferably in Python. Solid understanding of artificial intelligence (AI) concepts, with familiarity in working with language models. Exceptional analytical abilities and a passion for solving complex, real-world problems. Knowledge of vector databases and relevant data structures. Working experience with various databases and messaging technologies such as SQL, Redis, and Kafka is a strong plus. Expertise in Software Life Cycle management methodologies and tools, including Git and JIRA Key Responsibilities Interface with the users of the system to understand their use-cases and assist them in making the best use of our tools and platforms Collaborate with cross-functional, distributed teams to deliver impactful solutions. Gather, analyze, and define requirements, managing product deliverables through the full development lifecycle. Design and develop scalable, AI-driven products that address practical business challenges. Stay up to date with emerging technologies, particularly in the areas of artificial intelligence and large language models (LLMs). Provide technical support by diagnosing root causes of issues and proposing effective solutions. Continuously enhance platform capabilities by researching best practices and contributing to the product roadmap. Key Metrics Python or C++ including STL and Boost UNIX/Linux Data Engineering and pipelines, Data Structures and Algorithms Behavioral Competencies Good communication English (verbal and written), Critical thinking, Attention to detail Experience in managing client stakeholders

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY GDS – Data and Analytics (D&A) – Senior – Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 3-7 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

What is Hunch? Hunch is a dating app that helps you land a date without swiping like a junkie. Designed for people tired of mindless swiping and commodified matchmaking, Hunch leverages a powerful AI-engine to help users find meaningful connections by focusing on personality over just looks. With 2M+ downloads and a 4.4-star rating , Hunch is going viral in the US by challenging the swipe-left/right norm of traditional apps. Hunch is a Series A funded ($23 Million) startup building the future of social discovery in a post-AI world. Link to our fundraising announcement Key Offerings Of Hunch Swipe Less, Vibe More: Curated profiles, cutting the clutter of endless swiping. Personality Matters: Opinion-based, belief-based, and thought-based compatibility rather than just focusing on looks. Every Match, Verified: No bots, no catfishing—just real, trustworthy connections Match Scores: Our AI shows compatibility percentages, helping users identify their “100% vibe match.” What we are looking for: Proven experience of 2-5 years as a Backend Developer, from a product background, preferably in a social media or consumer-facing platform Expertise in back-end development with programming languages such as Node.js. GraphQL is a plus. Experience writing unit, integration, and end-to-end (E2E) tests to ensure code quality and system reliability Hands-on experience using AI tools like Claude, Gemini, or GitHub Copilot to assist in coding, debugging, and accelerating development Strong knowledge of database systems like PostgreSQL, NoSQL, Redis and experience in optimizing database queries. Experience integrating third-party APIs and working with external service providers. Experience with AWS/GCP and Kubernetes/Docker. Familiarity with real-time data processing technologies such as Kafka, Apache Storm, Apache Flink, or Amazon Kinesis is a plus, Understanding of security best practices and data protection measures. Strong problem-solving skills, attention to detail, and ability to work in a fast-paced environment. Excellent communication and collaboration skills, with a passion for teamwork and innovation. Frontend development experience is a plus, especially with frameworks such as Flutter (for mobile apps) and Next.js (for web apps) What You Will Do: System Architecture And Design Collaborate with cross-functional teams to design and architect scalable, efficient, and maintainable backend systems. Contribute to the development of technical specifications and system documentation. Backend Development And Coding Write high-quality, well-structured code in the backend programming languages (e.g., Node, Python) to implement new features and improve existing functionalities. Ensure code follows best practices, coding standards, and is thoroughly tested. Performance Optimization Identify and optimize performance bottlenecks in backend systems, ensuring smooth and responsive user experiences. Monitor and analyze system performance metrics, making necessary improvements to enhance system efficiency. Database Management Design and manage database schemas, ensuring data integrity, security, and efficiency. Optimize database queries and implement caching mechanisms for improved data retrieval speed. API Development And Integration Develop and maintain RESTful APIs to facilitate seamless communication between the frontend and backend systems. Integrate third-party services and APIs as needed while ensuring data security and privacy. Scalability And Reliability Implement strategies for horizontal scaling and load balancing to accommodate growing user traffic and maintain system reliability. Ensure high availability of backend services, minimizing downtime and service interruptions. Security And Data Privacy Implement security measures to protect sensitive user data and prevent security vulnerabilities. Stay updated with industry security standards and implement necessary measures to ensure compliance. Collaboration And Communication Collaborate effectively with frontend engineers, product managers, and designers to deliver cohesive and user-centric features. Communicate technical concepts and project updates clearly within the team. Continuous Learning And Innovation Stay updated with the latest technologies, trends, and best practices in backend development. Proactively suggest innovative solutions and improvements to enhance the platform's functionality and performance. Problem Solving And Troubleshooting Diagnose and resolve complex technical issues that may arise in the backend systems. Provide timely solutions to ensure minimal impact on user experience. Project Management And Timelines Estimate development timelines accurately and deliver high-quality code within specified deadlines. Collaborate with project managers to prioritize tasks and ensure project milestones are met. What we have to offer Competitive financial rewards + annual PLI (Performance Linked Incentives). Meritocracy-driven, candid, and diverse culture. Employee benefits like Medical Insurance One annual all expenses paid by company trip for all employees to bond Although we work from our office in New Delhi, we are flexible in our style and approach Life @Hunch Work Culture: At Hunch we take our work seriously but don’t take ourselves too seriously. Everyone is encouraged to think as owners and not renters, and we prefer to let builders build, empowering people to pursue independent ideas. Impact: Your work will shape the future of social engagement and connect people around the world. Collaboration: Join a diverse team of creative minds and be part of a supportive community. Growth: We invest in your development and provide opportunities for continuous learning. Backed by Global Investors: Hunch is a Series A funded startup, backed by Hashed, AlphaWave, Brevan Howard and Polygon Studios Experienced Leadership: Hunch is founded by a trio of industry veterans - Ish Goel (CEO), Nitika Goel (CTO), and Kartic Rakhra (CMO) - serial entrepreneurs with the last exit from Nexus Mutual, a web3 consumer-tech startup.

About Teramind Teramind is the leading platform for user behavior analytics, serving multiple use cases from insider risk mitigation to business process optimization. With our comprehensive suite of solutions, organizations gain unprecedented visibility into user activities while enhancing security, optimizing productivity, and ensuring compliance. Trusted by Fortune 500 companies and businesses of all sizes across industries, our innovative platform helps organizations protect sensitive data, maximize workforce performance, and create safer, more efficient digital workplaces. Through real-time monitoring and advanced analytics, we enable businesses to safeguard their most sensitive information while optimizing employee productivity in both in-office and remote work environments. Our Core Values At Teramind, our values drive everything we do. We embrace innovation as a fundamental principle, constantly pushing boundaries to improve our products, streamline processes, and enhance customer experiences. We foster resourcefulness by empowering our team members with the autonomy and confidence to solve problems independently while providing collaborative support when needed. As a globally inclusive organization, we celebrate diversity and create an adaptable work culture where respect and collaboration thrive across our international teams. Above all, we are committed to excellence, delivering the highest quality in every aspect of our work and consistently exceeding expectations in service to our clients and each other. The Challenge Teramind protects 10,000+ organizations from insider threats by analyzing billions of behavioral events daily. We're scaling to 100,000 customers, and our data platform needs to scale with us—without falling over at 3AM or burning through our cloud budget. This isn't a Python job. It's a "make massive amounts of data queryable in under 2 seconds" job. Python happens to be what we use today. What You'll Own Architecture that handles 10x growth without 10x complexity Making 5 engineers as effective as 15 through better tools and patterns Building systems that self-heal so you can actually sleep Turning "we need better analytics" into actual solutions Choosing our next database, framework, or approach—and teaching us why Could you solve these example issues? Customer dashboard queries hit 45-second timeouts on Monday mornings A "quick fix" data migration has been running for 3 weeks Third-party API changes broke 40% of integrations Compliance wants 7-year retention. How do companies comply without storage fees going through the roof? What We Care About ✓ You ship. Perfection is the enemy of progress. ✓ You simplify. Your solutions make complex problems feel obvious. ✓ You teach. Your code reviews educate instead of criticize. ✓ You learn. New database? You figure it out. ✓ You own. If it's broken, you fix it. Technical Environment Stack : Python, FastAPI, PostgreSQL, ClickHouse, Redis, Docker, Cloud infrastructure Culture: We value developer productivity and fast iteration cycles Team: Global, distributed, knows how to do remote right Benefits This is a remote job. Work from anywhere! We’ve been thriving as a fully-remote team since 2014. To us, remote work means flexibility and having truly diverse, global teams. Additionally: Collaboration with a forward-thinking team where new ideas come to life, experience is valued, and talent is incubated. Competitive salary Career growth opportunities Flexible paid time off Laptop reimbursement Ongoing training and development opportunities About our recruitment process We don’t expect a perfect fit for every requirement we’ve outlined. If you can see yourself contributing to the team, we want to hear your story. You can expect up to 3 interviews. In some scenarios, we’re able to streamline the process to have minimal rounds. Director-level roles and above should expect a more thorough process, with multiple rounds of interviews. All roles require reference and background checks Teramind is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration without regard to race, age, religion, color, marital status, national origin, gender, gender identity or expression, sexual orientation, disability, or veteran status.

Description Shape the Future of Work with Eptura At Eptura, we're not just another tech company—we're a global leader transforming the way people, workplaces, and assets connect. Our innovative worktech solutions empower 25 million users across 115 countries to thrive in a digitally connected world. Trusted by 45% of Fortune 500 companies, we're redefining workplace innovation and driving success for organizations around the globe. Job Description The Eptura Engineering department is a high-performance culture marked by boldness and appetite for productivity. We're looking for teammates who thrive on learning new technologies and don't believe in one-size-fits-all solutions. You should be able to adapt easily to meet the needs of our massive growth and our rapidly evolving business environment. You will work in a dynamic environment, integrating multiple scalable, reliable, and secure platforms into several products. We are looking for someone who embraces self-learning and seeks new solutions. Responsibilities Developing and maintaining user-facing features using React.js Building reusable components and front-end libraries for future use Using figma to translate designs and wireframes into high quality code. Optimize components for maximum performance across a vast array of we-capable devices and browsers. Understanding and implementing best practices Collaborate with other teams and departments as needed to iterate on the design and implementation of the application. About You Extensive experience in React. Deep knowledge of OOP and software design patterns Hands-on experience in designing application architecture. Expert knowledge in writing unit tests and provide high-quality test coverage. Experience building highly scalable, maintainable, robust, and fault-tolerant services that support our unique rate-of-growth requirements. Experience with Agile practices Good to have: Knowledge of backend technologies (.Net/Rails/Java) a huge plus Experience in development and maintenance of deployment pipeline is a plus. Experience in AWS, Redis, Jenkins, Docker, Kubernetes is a huge plus. Benefits Health insurance fully paid–Spouse, children, and Parents Accident insurance fully paid Flexible working allowance 25 days holidays 7 paid sick days 10 public holidays Employee Assistance Program Eptura Information Follow us on Twitter | LinkedIn | Facebook | YouTube Eptura is an Equal Opportunity Employer. At Eptura we promote our flexible workspace environment, free from discrimination. We believe that diversity of experience, perspective, and background leads to a better environment for all our people and a better product for our customers. Everyone is welcome at Eptura, no matter where you are from, and the more diverse we are, the more unified we will be in ensuring respectful connections all around the world. #LI-PG1 #LI-Hybrid About Eptura Ready to make a difference? Explore opportunities with Eptura and join us on this incredible journey. Joining Eptura means becoming part of a forward-thinking, dynamic team that's on a mission to shape a better, more connected future. We're seeking passionate, driven individuals who want to make a real impact and be at the forefront of workplace innovation. At Eptura, diversity and inclusion are at the heart of what we do. We believe that embracing unique perspectives and backgrounds leads to stronger teams and better solutions for our customers. We are committed to creating a flexible, inclusive environment where everyone is welcome and empowered to succeed.

Location: Pitampura, Delhi Job Type: Full-Time Job Description We are seeking a skilled Full Stack Developer with strong expertise in the MERN stack and microservices architecture. The ideal candidate will be responsible for designing, building, and maintaining scalable, high-performance applications. You should be well-versed in modern development tools and practices, with a passion for clean code and efficient architecture. Key Responsibilities Develop and maintain full-stack web applications using the MERN stack (MongoDB, Express.js, React.js, Node.js). Design, implement, and maintain a microservices-based architecture. Optimize communication and data flow between microservices. Build scalable RESTful APIs and services using NestJS. Utilize Redis for caching, session management, and data storage. Implement Redis Pub/Sub for event-driven messaging and asynchronous communication. Develop real-time features using WebSockets or Socket.IO. Leverage Next.js for server-side rendering and static site generation when needed. Write clean, efficient, and maintainable code following best practices. Collaborate with team members through code reviews and technical discussions. Debug and resolve issues across frontend and backend in development and production environments. Requirements Proven experience as a Full Stack Developer, particularly with the MERN stack. Solid understanding of microservices architecture and related design patterns. Proficient in TypeScript for both frontend and backend development. Experience in managing microservices and inter-service communication. Strong hands-on experience with NestJS. Familiarity with Redis and its use cases for caching and Pub/Sub messaging. Experience building real-time applications with WebSockets or Socket.IO. Working knowledge of Next.js. Strong foundation in JavaScript, HTML, and CSS. Proficiency with Git and version control workflows. Excellent problem-solving, debugging, and communication skills. Job Type: Full-time Pay: ₹30,000.00 - ₹45,000.00 per month Education: Bachelor's (Preferred) Experience: Angular: 1 year (Preferred) total work: 1 year (Preferred) Java: 1 year (Preferred) Work Location: In person

Job Title: Python Backend Developer (Data Layer) Location: Mohali, Punjab Company: RevClerx About RevClerx: RevClerx Pvt. Ltd., founded in 2017 and based in the Chandigarh/Mohali area (India), is a dynamic Information Technology firm providing comprehensive IT services with a strong focus on client-centric solutions. As a global provider, we cater to diverse business needs including website designing and development, digital marketing, lead generation services (including telemarketing and qualification), and appointment setting. Job Summary: We are seeking a skilled Python Backend Developer with a strong passion and proven expertise in database design and implementation. This role requires 3-4 years of backend development experience, focusing on building robust, scalable applications and APIs. The ideal candidate will not only be proficient in Python and common backend frameworks but will possess significant experience in designing, modeling, and optimizing various database solutions, including relational databases (like PostgreSQL) and, crucially, graph databases (specifically Neo4j). You will play a vital role in architecting the data layer of our applications, ensuring efficiency, scalability, and the ability to handle complex, interconnected data. Key Responsibilities: ● Design, develop, test, deploy, and maintain scalable and performant Python-based backend services and APIs. ● Lead the design and implementation of database schemas for relational (e.g., PostgreSQL) and NoSQL databases, with a strong emphasis on Graph Databases (Neo4j). ● Model complex data relationships and structures effectively, particularly leveraging graph data modeling principles where appropriate. ● Write efficient, optimized database queries (SQL, Cypher, potentially others). ● Develop and maintain data models, ensuring data integrity, consistency, and security. ● Optimize database performance through indexing strategies, query tuning, caching mechanisms, and schema adjustments. ● Collaborate closely with product managers, frontend developers, and other stakeholders to understand data requirements and translate them into effective database designs. ● Implement data migration strategies and scripts as needed. ● Integrate various databases seamlessly with Python backend services using ORMs (like SQLAlchemy, Django ORM) or native drivers. ● Write unit and integration tests, particularly focusing on data access and manipulation logic. ● Contribute to architectural decisions, especially concerning data storage, retrieval, and processing. ● Stay current with best practices in database technologies, Python development, and backend systems. Minimum Qualifications: ● Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, OR equivalent practical experience. ● 3-4 years of professional software development experience with a primary focus on Python backend development. ● Strong proficiency in Python and its standard libraries. ● Proven experience with at least one major Python web framework (e.g., Django, Flask, FastAPI). ● Demonstrable, hands-on experience designing, implementing, and managing relational databases (e.g., PostgreSQL). ● Experience with at least one NoSQL database (e.g., MongoDB, Redis, Cassandra). ● Solid understanding of data structures, algorithms, and object-oriented programming principles. ● Experience designing and consuming RESTful APIs. ● Proficiency with version control systems, particularly Git. ● Strong analytical and problem-solving skills, especially concerning data modeling and querying. ● Excellent communication and teamwork abilities. Preferred (Good-to-Have) Qualifications: ● Graph Database Expertise: ○ Significant, demonstrable experience designing and implementing solutions using Graph Databases (Neo4j strongly preferred). ○ Proficiency in graph query languages, particularly Cypher. ○ Strong understanding of graph data modeling principles, use cases (e.g., recommendation engines, fraud detection, knowledge graphs, network analysis), and trade-offs. ● Advanced Database Skills: ○ Experience with database performance tuning and monitoring tools. ○ Experience with Object-Relational Mappers (ORMs) like SQLAlchemy or Django ORM in depth. ○ Experience implementing data migration strategies for large datasets. ● Cloud Experience: Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) and their managed database services (e.g., RDS, Aurora, Neptune, DocumentDB, MemoryStore). ● Containerization & Orchestration: Experience with Docker and Kubernetes. ● Asynchronous Programming: Experience with Python's asyncio and async frameworks. ● Data Pipelines: Familiarity with ETL processes or data pipeline tools (e.g., Apache Airflow). ● Testing: Experience writing tests specifically for database interactions and data integrity. What We Offer: ● Challenging projects with opportunities to work on cutting-edge technologies especially in the field of AI. ● Competitive salary and comprehensive benefits package. ● Opportunities for professional development and learning (e.g., conferences, courses, certifications). ● A collaborative, innovative, and supportive work environment. How to Apply: Interested candidates are invited to submit their resume and a cover letter outlining their relevant experience, specifically highlighting their database design expertise (including relational, NoSQL, and especially Graph DB/Neo4j experience) Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹55,373.94 per month Benefits: Food provided Health insurance Schedule: Day shift Monday to Friday

Company Description SBS is a global financial technology company that’s helping banks and the financial services industry to reimagine how to operate in an increasingly digital world. SBS is a trusted partner of more than 1,500 financial institutions and large-scale lenders in 80 countries worldwide, including Santander, Societé Generale, KCB Bank, Kensington Mortgages, Mercedes-Benz, and Toyota FS. Its cloud platform offers clients a composable architecture to digitize operations, ranging from banking, lending, compliance, to payments, and consumer and asset finance. With 3,400 employees in 50 offices, SBS is recognized as a Top 10 European Fintech company by IDC and as a leader in Omdia’s Universe: Digital Banking Platforms. Job Description What You’ll Do Design and Implement Test Automation Strategy: Develop and own a comprehensive test automation strategy covering all levels of testing – unit, component, integration, and end-to-end – across the platform’s microservices and user interfaces. Ensure that each layer of the tech stack has appropriate automated test coverage for fast, high-quality releases. Drive Full-Stack Test Coverage: Proactively identify functional coverage gaps and under-tested areas – especially in the UI , API , and caching layers (e.g. Redis ) – and address them with improved automated tests. Continuously raise the bar on test effectiveness by expanding coverage and improving test scenarios for edge cases and failure conditions. Build & Enhance Automation Frameworks: Architect and implement robust test automation frameworks for different domains of testing as required. This includes improving our UI automation (using Cypress or similar), strengthening API testing frameworks (using K6 or similar) , and establishing performance testing to simulate load and stress. You will ensure these frameworks are scalable, maintainable, and aligned with a modern JVM/Spring Boot & Angular tech stack. Select and Integrate Testing Tools: Evaluate and implement or enhance the right set of automation tools and libraries that best fit our stack (Java/Kotlin, Spring Boot backend, Angular frontend). If needed, introduce new tools or testing approaches (e.g. BDD, contract testing) to improve quality. Ensure that our choice of tools (testing frameworks, assertion libraries, reporting tools) maximizes efficiency and developer friendliness. Embed Testing in CI/CD Pipelines: Integrate automated tests into our GitLab CI/CD pipelines as quality gates. Implement continuous testing practices so that every code commit triggers automated test suites (unit, API, UI, performance), providing rapid feedback on failures. You will lead the evolution of our continuous testing strategy within the CI/CD pipeline , ensuring that no code reaches production without passing the necessary checks. Manage Test Environments & Data: Oversee test environment provisioning and test data management. Use AWS cloud infrastructure and Infrastructure-as-Code (Terraform) to set up and tear down test environments on demand, automate test data creation/seeding, and ensure test environments mimic production for reliable results. Maintain data integrity and compliance (GDPR, PCI DSS, etc.) in test datasets given the regulatory environment. Collaborate and Champion Quality: Work closely with developers, DevOps engineers, product managers, and other stakeholders to instill an automation-first mindset . Through design reviews, code reviews, and regular sync-ups, ensure testing considerations are part of planning and development. Act as a quality evangelist , coaching teams on best practices and helping to troubleshoot testing challenges. Influence and improve the overall engineering quality culture , making sure that quality is a shared responsibility across the team. Ensure Compliance and Reliability: In a SaaS, cloud-native environment with rapid sprint cycles, ensure our test processes and frameworks account for strict regulatory constraints and security requirements of the banking domain. Design test scenarios for regulatory compliance (e.g. PSD2, GDPR, PCI) and fail-safes for sensitive financial workflows, so that our platform remains compliant and reliable under all conditions. Monitor, Report, and Improve: Define and track quality KPIs such as automated test coverage, test pass rates, defect leakage, and performance benchmarks. Regularly report on quality status to stakeholders. Use these insights to continually improve test strategies – optimize test execution time, enhance CI/CD feedback loops, and ensure that automation delivers tangible value in catching issues early. Qualifications Minimum Qualification Extensive QA & Automation Experience: Bachelor’s/Master’s degree in Computer Science or related field (or equivalent experience). 18 to 25 years in software testing/QA, with at least a few years in a test automation architect or lead role for complex software products. You have a track record of designing automation solutions for large-scale, distributed systems. Hands-on Automation Skills: Proven experience in building and maintaining automated test frameworks for web applications and APIs. You are a hands-on coder with deep programming skills in languages like Java or other JVM languages, and comfortable scripting in JavaScript/TypeScript or Python when needed. You write clean, maintainable test code and are familiar with design patterns for test automation. Testing Framework Expertise: In-depth knowledge of modern testing tools and frameworks. You have worked with UI automation (e.g. Cypress, Selenium, or Playwright), API testing (e.g. K6, RestAssured, Postman/Newman, or similar), and performance testing tools (e.g. k6, JMeter, Gatling). You understand testing across different layers – including contract testing of microservices, database validation, and can even script tests around caching layers like Redis if required. CI/CD and DevOps Know-how: Solid experience integrating test automation into CI/CD pipelines . You are familiar with Git-based workflows and tools like GitLab CI (or Jenkins/Azure DevOps etc.), and can write pipeline scripts/jobs to run tests, handle artifacts, and report results. Knowledge of Docker/Kubernetes for containerized test execution is a plus. Cloud and Infrastructure Skills: Experience working in cloud environments (AWS) and using Terraform or other IaC tools to manage infrastructure. You understand how to set up test environments in the cloud, manage configurations (perhaps using Docker compose or Kubernetes manifests), and utilize cloud services for testing (S3, databases, etc.). Quality Mindset & Soft Skills: An automation-first mindset – you consistently look to automate repetitive testing tasks and reduce manual effort. Excellent analytical and problem-solving abilities to debug test failures and pinpoint issues across complex systems. Strong collaboration and communication skills to work with cross-functional teams and to advocate for quality practices. You are comfortable leading discussions on testing strategy, providing constructive feedback, and influencing without authority when necessary. Attention to Detail and Accountability: A keen eye for detail in identifying edge cases, race conditions, and potential failure points that others might miss. High sense of ownership and accountability for product quality – you take pride in catching issues early and ensuring the customer experience is flawless. Preferred Qualifications Domain Expertise: Experience in banking, fintech, or financial services domains, especially in core banking, payments, or digital lending. Understanding of banking workflows and regulations helps you design better test scenarios and compliance checks. Performance & Security Testing: Advanced experience with performance testing (analyzing throughput, latency, bottlenecks) and exposure to security testing in financial applications. Familiarity with tools for security scanning or vulnerability testing in CI/CD is a plus. Leadership & Certifications: Prior experience leading a QA/Automation team or mentoring other QA engineers. Relevant certifications (e.g. ISTQB Advanced Test Manager/Architect, Certified Agile Testing, AWS Cloud Practitioner) can be a plus, but proven skills matter more. Additional Tools: Exposure to monitoring/observability tools (e.g. Grafana, Kibana) to correlate test results with system metrics. Experience with contract testing (e.g. Pact) or service virtualization in complex integrations. Any experience in using AI/ML tools for testing or predictive quality analytics would be an extra bonus (showing you stay on the cutting edge). Additional Information Secondary Location:Noida Campus At our organization, we are committed to fighting against all forms of discrimination. We foster a work environment that is inclusive and respectful of all differences. All of our positions are open to people with disabilities. At our organization, we are committed to fighting against all forms of discrimination. We foster a work environment that is inclusive and respectful of all differences. All of our positions are open to people with disabilities.

Introduction IBM Infrastructure is a catalyst that makes the world work better because our clients demand it. Heterogeneous environments, the explosion of data, digital automation, and cybersecurity threats require hybrid cloud infrastructure that only IBM can provide. Your ability to be creative, a forward-thinker and to focus on innovation that matters, is all support by our growth minded culture as we continue to drive career development across our teams. Collaboration is key to IBM Infrastructure success, as we bring together different business units and teams that balance their priorities in a way that best serves our client's needs. IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive. IBM Cloud Core Platform Services is a growing, agile, dynamic organization building and operating leading-edge, highly available, and distributed cloud services in IBM Cloud. We're looking for experienced cloud software engineers to join us. This technical role is focused on designing, developing and deploying cloud services, automating wide ranges of tasks, problem-solving, interfacing with other teams to solve complex problems. You will be part of a strong, agile, and modern team culture driven to create world-class cloud services, delivering an industry leading user experience for our customers. As an integral part of the development team, you will get an opportunity to contribute to the cloud services architecture and design while helping us mentor the next generation of cloud engineers. Your Role And Responsibilities Becoming an expert and major contributor for designs and implementation efforts of the IBM Cloud Platform Services ecosystem Developing highly available, distributed cloud services, with emphasis on security, scalability and user experience using technologies like Golang, Java, Node.js, Cloudant, Redis, Docker, Kubernetes, Istio and more. Reading open specifications and RFC documents and converting them to design docs and implementation Identifying opportunities and acting on improving existing tools, frameworks and workflows Documenting and sharing your experience with team members, mentoring others Preferred Education Bachelor's Degree Required Technical And Professional Expertise A minimum of a bachelor’s degree in computer science, Software Engineering or equivalent At least 3 years of hands-on development experience building applications with one or more of the following: Java, Node.js, Golang, NoSQL DB, Redis, distributed caches, containers etc. At least 3 years of experience building and operating highly secured, distributed cloud services with one or more of the following: IBM Cloud, AWS, Azure, Docker, container orchestration, performance testing, DevOps etc. At least 1 years of experience in web technologies: HTTP, REST, JSON, HTML, JavaScript etc. Solid understanding of the micro-service architecture and modern cloud programming practices. Strong ability to design a clean, developer-friendly API. Passionate about constant, continuous learning and applying new technologies as well as mentoring others. Keen troubleshooting skills and strong verbal/written communication skills. Preferred Technical And Professional Experience Bachealor's degree in computer science, Software Engineering or equivalent Knowledge of the IBM Cloud platforms or another as-a-service platform and its architecture Experience as technical lead managing team of engineers in driving development of highly scalable distributed system Proficient with one or more project management tools – Jira, Git, Aha, etc

Introduction Ready to grow your career in the Cloud? Want to have a feeling that you are making a difference? This is your chance to become an integral part of a dynamic team of talented professionals developing and deploying innovative, industry-leading, cloud-based platform services. IBM Cloud Platform Core Services is a growing, agile, dynamic organization building and operating leading-edge, highly-available, and distributed cloud services in IBM Cloud. We're looking for experienced cloud software engineers to join us. This technical role is focused on designing, developing and deploying cloud services, automating wide ranges of tasks, problem-solving, interfacing with other teams to solve complex problems. You will be part of a strong, agile, and modern team culture driven to create world-class cloud services, delivering an industry leading user experience for our customers. As an integral part of the development team, you will get an opportunity to contribute to the cloud services architecture and design while helping us mentor the next generation of cloud engineers. Your Role And Responsibilities Becoming an expert and major contributor for designs and implementation efforts of the IBM Cloud Platform Services ecosystem Developing highly-available, distributed cloud services, with emphasis on security, scalability and user experience using technologies like Java, Node.js, Golang, Cloudant, Redis, Docker, Kubernetes, Istio and more. Identifying opportunities and acting on improving existing tools, frameworks and workflows Documenting and sharing your experience with team members, mentoring others Preferred Education Bachelor's Degree Required Technical And Professional Expertise A minimum of a bachelor degree in Computer Science, Software Engineering or equivalent 1+ year of hands-on development experience building applications with one or more of the following: Java, Node.js, Golang, NoSQL DB, Redis, distributed caches, containers etc. 1+ years of experience in web technologies: HTTP, REST, JSON, HTML, JavaScript etc. Solid understanding of the micro-service architecture and modern cloud programming practices. Strong ability to design a clean, developer-friendly API. Passionate about constant, continuous learning and applying new technologies as well as mentoring others. Keen troubleshooting skills and strong verbal/written communication skills. Preferred Technical And Professional Experience Bachelors degree in Computer Science, Software Engineering or equivalent Understanding of cybersecurity and cryptography principles, certifications, and compliance. Experience in remotely supporting customer engagements to help driving the adoption Experience building and operating highly secured, distributed cloud services with one or more of the following: IBM Cloud, AWS, Azure, Docker, container orchestration, performance testing, DevOps etc.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY GDS – Data and Analytics (D&A) – Senior – Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 3-7 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY GDS – Data and Analytics (D&A) – Senior – Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 3-7 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY GDS – Data and Analytics (D&A) – Senior – Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 3-7 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Requirements Description and Requirements Job Responsibilities: Design and develop complex cloud-based hybrid mobile applications from the scratch. Design and develop scalable and resilient micro services Create and configure CI/CD and build pipelines Creation of highly reusable and reliable UI components High levels of ownership of systems in your team Collaborate within the team and with other stake holders. Writing code based on widely accepted coding principles and standards. Contribute in all phases of the product development life-cycle High degree of professionalism, enthusiasm, autonomy, and initiative daily Demonstrate high level of ownership, leadership, and drive in contributing innovative solutions. Ability to work within a team environment Experience interfacing with both external and internal customers at all levels Demonstrated ability to analyze problems and understand the necessary components of a solution through analysis, planning, evaluation of cost/benefit, testing and reporting Experience 6 to 8 years of hands-on experience in Core Java, Advanced Java, Microservices Technical Skills Java 8, Spring Framework, Spring Boot, Spring Cloud Micro Services and Message Queues MongoDB or other NoSQL databases Redis, Docker, Bamboo or Jenkins CI/CD, Gulp or Webpack, Maven or Gradle Javascript (ES6), ReactJS or React Native or AngularJS, Node.JS About MetLife Recognized on Fortune magazine's list of the 2025 "World's Most Admired Companies" and Fortune World’s 25 Best Workplaces™ for 2024, MetLife , through its subsidiaries and affiliates, is one of the world’s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East. Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by empathy, we’re inspired to transform the next century in financial services. At MetLife, it’s #AllTogetherPossible . Join us!

Job Title: Data Architect (Leadership Role) Company : Wingify Location : Delhi (Outstation Candidates Allowed) Experience Required : 10 – 15 years Working Days : 5 days/week Budget : 83 Lakh to 1.04 Cr About Us We are a fast-growing product-based tech company known for its flagship product VWO—a widely adopted A/B testing platform used by over 4,000 businesses globally, including Target, Disney, Sears, and Tinkoff Bank. The team is self-organizing, highly creative, and passionate about data, tech, and continuous innovation. About us Company Size: Mid-Sized Industry : Consumer Internet, Technology, Consulting Role & Responsibilities Lead and mentor a team of Data Engineers, ensuring performance and career development. Architect scalable and reliable data infrastructure with high availability. Define and implement data governance frameworks, compliance, and best practices. Collaborate cross-functionally to execute the organization’s data roadmap. Optimize data processing workflows for scalability and cost efficiency. Ensure data quality, privacy, and security across platforms. Drive innovation and technical excellence across the data engineering function. Ideal Candidate Must-Haves Experience : 10+ years in software/data engineering roles. At least 2–3+ years in a leadership role managing teams of 5+ Data Engineers. Proven hands-on experience setting up data engineering systems from scratch (0 → 1 stage) in high-growth B2B product companies. Technical Expertise: Strong in Java (preferred), or Python, Node.js, GoLang. Expertise in big data tools: Apache Spark, Kafka, Hadoop, Hive, Airflow, Presto, HDFS. Strong design experience in High-Level Design (HLD) and Low-Level Design (LLD). Backend frameworks like Spring Boot, Google Guice. Cloud data platforms: AWS, GCP, Azure. Familiarity with data warehousing: Snowflake, Redshift, BigQuery. Databases: Redis, Cassandra, MongoDB, TiDB. DevOps tools: Jenkins, Docker, Kubernetes, Ansible, Chef, Grafana, ELK. Other Skills: Strong understanding of data governance, security, and compliance (GDPR, SOC2, etc.). Proven strategic thinking with ability to align technical architecture to business objectives. Excellent communication, leadership, and stakeholder management. Preferred Qualifications Exposure to Machine Learning infrastructure / MLOps. Experience with real-time data analytics. Strong foundation in algorithms, data structures, and scalable systems. Previous work in SaaS or high-growth startups. Screening Questions Do you have team leadership experience? How many engineers have you led? Have you built a data engineering platform from scratch? Describe the setup. What’s the largest data scale you’ve worked with and where? Are you open to continuing hands-on coding in this role? Interested candidates applies on deepak.visko@gmail.com or 9238142824 . Job Types: Full-time, Permanent Pay: ₹8,300,000.00 - ₹10,400,000.00 per year Work Location: In person