6254 Redis Jobs - Page 11

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

About Media.net : Media.net is a leading, global ad tech company that focuses on creating the most transparent and efficient path for advertiser budgets to become publisher revenue. Our proprietary contextual technology is at the forefront of enhancing Programmatic buying, the latest industry standard in ad buying for digital platforms. The Media.net platform powers major global publishers and ad-tech businesses at scale across ad formats like display, video, mobile, native, as well as search. Media.net’s U.S. HQ is based in New York, and the Global HQ is in Dubai. With office locations and consultant partners across the world, Media.net takes pride in the value-add it offers to its 50+ demand and 21K+ publisher partners, in terms of both products and services. Responsibilities (What You’ll Do) Infrastructure Management: Oversee and maintain the infrastructure that supports the ad exchange applications. This includes load balancers, data stores, CI/CD pipelines, and monitoring stacks. Continuously improve infrastructure resilience, scalability, and efficiency to meet the demands of massive request volume and stringent latency requirements. Developing policies and procedures that improve overall platform stability and participate in shared On-call schedule Collaboration with Developers: Work closely with developers to establish and uphold quality and performance benchmarks, ensuring that applications meet necessary criteria before they are deployed to production. Participate in design reviews and provide feedback on infrastructure-related aspects to improve system performance and reliability. Building Tools for Infra Management: Develop tools to simplify and enhance infrastructure management, automate processes, and improve operational efficiency. These tools may address areas such as monitoring, alerting, deployment automation, and failure detection and recovery, which are critical in minimizing latency and maintaining uptime. Performance Optimization: Focus on reducing latency and maximizing efficiency across all components, from request handling in load balancers to database optimization. Implement best practices and tools for performance monitoring, including real-time analysis and response mechanisms. Who Should Apply B.Tech/M.Tech or equivalent in Computer Science, Information Technology, or a related field. 2–4 years of experience managing services in large-scale distributed systems. Strong understanding of networking concepts (e.g., TCP/IP, routing, SDN) and modern software architectures. Proficiency in programming and scripting languages such as Python, Go, or Ruby, with a focus on automation. Experience with container orchestration tools like Kubernetes and virtualization platforms (preferably GCP). Ability to independently own problem statements, manage priorities, and drive solutions. Preferred Skills & Tools Expertise: Infrastructure as Code: Experience with Terraform. Configuration management tools like Nix, Ansible. Monitoring and Logging Tools: Expertise with Prometheus, Grafana, or ELK stack. OLAP databases : Clickhouse and Apache druid. CI/CD Pipelines: Hands-on experience with Jenkins, or ArgoCD. Databases: Proficiency in MySQL (relational) or Redis (NoSQL). Load Balancers Servers: Familiarity with haproxy or Nginx. Strong knowledge of operating systems and networking fundamentals. Experience with version control systems such as Git.

About Us HighLevel is an AI powered, all-in-one white-label sales & marketing platform that empowers agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. We are proud to support a global and growing community of over 2 million businesses, comprised of agencies, consultants, and businesses of all sizes and industries. HighLevel empowers users with all the tools needed to capture, nurture, and close new leads into repeat customers. As of mid 2025, HighLevel processes over 15 billion API hits and handles more than 2.5 billion message events every day. Our platform manages over 470 terabytes of data distributed across five databases, operates with a network of over 250 microservices, and supports over 1 million domain names. Our People With over 1,500 team members across 15+ countries, we operate in a global, remote-first environment. We are building more than software; we are building a global community rooted in creativity, collaboration, and impact. We take pride in cultivating a culture where innovation thrives, ideas are celebrated, and people come first, no matter where they call home. Our Impact As of mid 2025, our platform powers over 1.5 billion messages, helps generate over 200 million leads, and facilitates over 20 million conversations for the more than 2 million businesses we serve each month. Behind those numbers are real people growing their companies, connecting with customers, and making their mark - and we get to help make that happen. About The Role We’re looking for a Staff Software Engineer to join our Client Portal Team, which powers the core platform across our Client Portal Universe like Communities, Kollab, Courses. This team of 25+ engineers are responsible for delivering a reliable, secure, and high-performance infrastructure that handles millions of events ranging from checkouts, notifications, video streaming, networking — from robust platforms for creators/educators for learning courses;think Coursera/Udemy, connecting like minded folks into cohesive community where they can interact among each other, learn and become part of a common tribe, taking courses and streaming Petabytes of video data. Currently these products empower thousands of creators with 300k+ MAUs checking out thousands of courses, communities on web and mobile platforms. Businesses can offer whitelabeled customised mobile apps to customize the experience of their users according to their branding bringing more power into the hands of creators. As a Staff Engineer, you’ll lead the technical direction of the platform, solve complex distributed system and frontend engineering problems from web to Mobile Apps and mentor 25+ engineers across squads. You’ll partner closely with PMs, designers, infra, and security teams across 5+ products to drive long-term architecture, elevate engineering standards, and ensure seamless user experiences at scale. Responsibilities Own architecture and scaling of core Client Portal components including authentication, identity, notifications, chat, and video streaming; define infrastructure patterns and tooling for secure, efficient development. Lead initiatives to improve system reliability, API performance, and workflow throughput across the platform. Work hands-on with backend technologies like NestJS, Firestore, MongoDB, PostgreSQL, Redis, and microservice-based infrastructure. Drive observability and resilience with Prometheus/Grafana monitoring, incident response strategies, and AI-assisted development with LLMs and guardrails. Collaborate cross-functionally with product, infra, and security teams on data integrity, access control, and compliance; mentor engineers and share best practices in AI, distributed systems, and architecture. Participate actively in design reviews, technical deep dives, and on-call rotations to uphold engineering excellence. Requirements: 8+ years of software engineering experience, building large-scale, high-performance frontend applications and backend systems. Deep expertise with modern frontend frameworks (React, Vue, or Angular), advanced UI engineering patterns, and UI frameworks like Bootstrap or Tailwind CSS. Strong experience with state management libraries and complex application state design. Proven track record of optimizing frontend performance and improving web vitals at scale, including experience with server-side rendering (SSR), edge, or hybrid rendering architectures.Extensive experience with micro-frontend architectures and large-scale codebase management (e.g., Lerna, Turborepo).Solid backend engineering skills, with hands-on experience designing APIs, distributed systems, and data models (Node.js, NestJS, TypeScript, PostgreSQL, MongoDB, Redis). Experience building and maintaining Backend for Frontend (BFF) layers to tailor backend services for frontend needs. Familiarity with frontend observability, including monitoring, tracing, and performance profiling in production. Strong understanding of security practices across the stack, including authentication, access control, and data privacy. Excellent communication and cross-functional collaboration skills, with a track record of driving complex initiatives and mentoring teams. EEO Statement The company is an Equal Opportunity Employer. As a part of affirmative action compliance, demographic information may be collected voluntarily. This information is used strictly for legal compliance, will be kept separate from your application, and will not impact hiring decisions.

About Us HighLevel is an AI powered, all-in-one white-label sales & marketing platform that empowers agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. We are proud to support a global and growing community of over 2 million businesses, comprised of agencies, consultants, and businesses of all sizes and industries. HighLevel empowers users with all the tools needed to capture, nurture, and close new leads into repeat customers. As of mid 2025, HighLevel processes over 15 billion API hits and handles more than 2.5 billion message events every day. Our platform manages over 470 terabytes of data distributed across five databases, operates with a network of over 250 microservices, and supports over 1 million domain names. Our People With over 1,500 team members across 15+ countries, we operate in a global, remote-first environment. We are building more than software; we are building a global community rooted in creativity, collaboration, and impact. We take pride in cultivating a culture where innovation thrives, ideas are celebrated, and people come first, no matter where they call home. Our Impact As of mid 2025, our platform powers over 1.5 billion messages, helps generate over 200 million leads, and facilitates over 20 million conversations for the more than 2 million businesses we serve each month. Behind those numbers are real people growing their companies, connecting with customers, and making their mark - and we get to help make that happen. About The Role We’re looking for a Staff Software Engineer to join our SaaS Team, which powers the SaaS platform enabling agencies to build reliable and sustainable business models on Highlevel. The team of 8 engineers across 3 products are responsible for delivering a reliable, secure, and performant infrastructure that handles millions of time-critical operations — powering subscription checkouts, payment solutions, billing operations with billions of transactions every month. SaaS platform has enabled 30-40 agencies to create multi million dollar businesses on top of Highlevel and thousands of other SaaSPreneursTM to create sustainable business models. SaaS drives one of the major revenue streams for Highlevel where thousands of customers utilise the features to offer customised plans by whitelabeling Highlevel according to their niche and move away from traditional service market of marketing. As a Staff Engineer, you’ll lead the technical direction of the platform, solve complex distributed system problems, and mentor engineers across squads. You’ll partner closely with PMs, designers, infra, and security teams to drive long-term architecture, elevate engineering standards, and ensure seamless user experiences at scale.experiences at scale. Responsibilities Own architecture and scaling decisions for key SaaS platform components (e.g., Subscription Management, Subaccount Reporting, Wallet + Transaction system, Billing APIs) Lead design and execution of cross-cutting initiatives to improve reliability, latency, and throughput across time-sensitive APIs and workflows Work hands-on with technologies like NestJS, Firestore, MongoDB, PostgreSQL, Redis, Queuing Systems, Data Warehousing Systems and Service Mesh-based microservices Drive observability and resilience by evolving our monitoring, alerting (Prometheus/Grafana), and incident response strategiesLeverage LLMs and AI tools to write, refactor, test, and debug code efficiently — while implementing guardrails to reduce hallucination and boost reliability. Partner with product, infra, and security teams to ensure data integrity, access control, and subscription management Mentor and guide a team of high-performing engineers, encouraging technical excellence and career growth Stay on the bleeding edge of AI/LLM technology, development best practices, and distributed architecture patterns — and bring that knowledge back to the team. Participate in design reviews, deep dives, and on-call rotations to support a high-bar culture of accountability and operational excellence Requirements: 8+ years of backend engineering experience, including designing fault-tolerant systems and working on high-scale platforms. Deep expertise in distributed systems, event-driven architectures, and asynchronous job processing Proven experience optimizing availability, performance, and reliability in real-world systems under load Strong experience with relational and NoSQL data models (especially with complex transactional data) Deep knowledge of Frontend Systems with any frameworks (Angular, VueJS, React) and familiarity with Design Principles and User Experience Familiarity with monitoring, SLOs, and root-cause analysis in production environments Familiarity with hallucination mitigation strategies (e.g., code constraints, test scaffolding, embeddings, context injection). Excellent communication and cross-functional collaboration skills A pragmatic, hands-on leader who balances long-term vision with iterative execution EEO Statement The company is an Equal Opportunity Employer. As a part of affirmative action compliance, demographic information may be collected voluntarily. This information is used strictly for legal compliance, will be kept separate from your application, and will not impact hiring decisions.

Location: Remote (India, IST time zone) Type: Internship (intensive, problem‑solving focused) Stipend: ₹5,000 – ₹7,000 per month post training period Company: Insight Fusion Analytics Company Overview Insight Fusion Analytics builds data‑driven products across analytics, machine learning, trading, and automation. We ship fast, learn fast, and solve real problems. If you love diving deep, owning outcomes end‑to‑end, and staying wired‑in until the problem is solved, you’ll fit right in. If you’re looking for a comfortable 9–5, consider our other roles. For this team, we want crazy‑passionate problem solvers who thrive on hard challenges and rapid iteration. How This Works Training period: 1 month or less (depending on your pace). Learn our stack, workflows, and push real code—no filler. 48-hour hackathon: Prove your skills under real-world constraints—team or solo. Post-training: You’re eligible for the stipend and real project ownership. Role Overview As a Full‑Stack Developer Intern, you will design, build, and ship features across the stack—frontend, backend, databases, testing, and deployment. You’ll work on internal tools, dashboards, scrapers, APIs, and micro‑services that power analytics and trading applications. This is a hands‑on, ship‑to‑learn role. Expect ownership, code reviews, fast feedback, and real production constraints. What You’ll Do • Build responsive web apps with React/Next.js (or equivalent modern framework). • Develop scalable APIs using Node.js/Express/NestJS (Python FastAPI/Django REST is a plus). • Design schemas and write efficient queries for PostgreSQL/MySQL or MongoDB; use Prisma/TypeORM/SQLAlchemy where relevant. • Implement authentication & authorization (JWT/session, role‑based access control). • Work with queues, background jobs, WebSockets/Server‑Sent Events, and Redis for caching. • Write automated tests (unit, integration, basic e2e with Jest/Vitest/Playwright). • Package and deploy services using Docker; ship to Vercel, Render, Fly.io, AWS, GCP, or Azure. • Instrument logging, error tracking, and basic observability. • Document decisions, create clean READMEs, and follow a lightweight Git workflow. Must‑Have Qualifications • Strong fundamentals in JavaScript/TypeScript, HTML, and CSS. • Practical experience with React (or Next.js) and Node.js. • Comfort with RESTful APIs, JSON, and HTTP basics. • Solid grasp of data structures, algorithms, and SQL. • Ability to debug, profile, and reason about performance. • Bias to action: you can independently read docs, unblock yourself, and deliver. Good to Have • Next.js App Router, server actions, edge/runtime concepts. • Python (FastAPI), or Go for services. • PostgreSQL expertise (migrations, indexes, query plans) and Redis. • Realtime apps (WebSockets), background workers, CRON jobs. • Docker, CI/CD (GitHub Actions), basic cloud infra. • Web scraping with Playwright and ETL pipelines. • Charts/dashboards with Plotly/Recharts/ECharts. How to apply ? 1) Apply for job post and fill the google form. 2) There will be a 48 hour Hackathon . (Team of 2-4, Entry as a team only) For more details : Test Task Challenge (9th August : Tentative Date ) https://www.notion.so/Hiring-Challenge-Full-Stack-Developer-IFA-23e3e5765d2f8070a86edc8c43f05bf3?source=copy_link Join Whatsapp Group for updates : https://chat.whatsapp.com/Ks4XXWYkuJrJknKm38dFKS

Dear Candidate, Greetings From Binary Semantics Ltd!! Immediate Hiring For AI Chatbot Developer - Gurgaon(WFO) Note: Only immediate joiner can apply or max to max 10-15 days notice period . About Product: Chatbot: AI chatbots have become instrumental in revolutionizing various industries, including insuretech, taxation, and fleet management. In the insuretech sector, AI chatbots are employed to enhance customer interactions, providing instant assistance with policy inquiries, claims processing, and policy renewals. These chatbots leverage natural language processing to understand and respond to customer queries, improving the overall customer experience and reducing response times. In taxation, AI chatbots streamline complex processes by assisting users with tax-related questions, helping them navigate tax regulations, and providing real-time updates on changes in tax laws. These chatbots can guide users through the filing process, ensuring accuracy and compliance while simplifying the overall tax experience. Fleet management benefits from AI chatbots by automating communication and decision-making processes. Chatbots in this context can provide real-time information on vehicle locations, maintenance schedules, and fuel consumption. They enable efficient coordination of fleet activities, optimizing routes, and addressing maintenance issues promptly. This not only improves operational efficiency but also contributes to cost savings and enhanced safety. Python Developer (AI Chatbot with RASA) Education: Btech / Mtech Experience: 2-4yr Location: Gurgaon Notice Period : Immediate or Max to max 10-15 days only Job Description: Developing chatbots and voice assistants on various platforms for diverse business use-cases Work on a chatbot framework/architecture using an open-source tool or library Implement Natural Language Processing (NLP) for chatbots Integration of chatbots with Management Dashboards and CRMs Resolve complex technical design issues by analyzing the logs, debugging code, and identifying technical issues/challenges/bugs in the process Ability to understand business requirements and translate them into technical requirements Open-minded, flexible, and willing to adapt to changing situations Ability to work independently as well as on a team and learn from colleagues Ability to optimize applications for maximum speed and scalability Skills Required: Minimum 2+ years of experience in Chatbot Development using any open-source framework (eg Rasa, Botpress) Experience with both text-to-speech and speech-to-text Should have a good understanding of various Chatbot frameworks/platforms/libraries Experience with integration of bots for platforms like Facebook Messenger, Slack, Twitter, WhatsApp, etc. Experience in applying different NLP techniques to problems such as text classification, text summarization, question & answering, information retrieval, knowledge extraction, and conversational bot's design Should be familiar with these terms: Tokenization, N-Grams, Stemmers, lemmatization, Part of speech tagging, entity resolution, ontology, lexicology, phonetics, intents, entities, and context. Knowledge of either SQL and NoSQL Databases such as MySQL, MongoDB, Cassandra, Redis, PostgreSQL Interested candidate may share their resume on below mentioned email id with details: Juhi.khubchandani@binarysemantics.com Total Exp: Exp in Chatbot development: Exp in RASA: CTC: ECTC: NP: Location: Ready for Gurgaon(WFO): Regards, Juhi Khubchandani Talent Acquisition Binary Semantics Ltd.

Job Description Title: Dashboard Developer - Senior Manager Job Type: Full-time Tenure: Permanent Location: Gurgaon, India Education: Bachelor’s degree in computer science, Data Science, or related field About Us Research Partnership (part of Inizio Advisory ) is one of the world’s largest pharma market research and consulting agencies, with 250+ researchers, consultants, and support staff across London, Lyon, New York, Philadelphia, San Francisco, Singapore, and Delhi. As individuals with diverse backgrounds and shared values, we create work that: Makes a difference to human health Celebrates progress through innovation Puts people at the centre of everything we do About The Team The Data Delivery & Dashboards Team sits within the new Data Management & Delivery division in Gurgaon. Our mission is to turn complex healthcare datasets into clear, interactive dashboards that power smarter decisions for clients worldwide. Your Primary Role As a Dashboard Developer - Senior Manager , you will lead the design, development, and delivery of high-impact dashboards and visualizations. In addition to hands-on development work, you will be responsible for managing a team of dashboard developers, aligning stakeholder expectations, and driving innovation in dashboarding solutions. You’ll collaborate closely with researchers, analysts, and global business leaders to ensure our visual outputs deliver clarity, impact, and value. Key Responsibilities Lead development and delivery of interactive dashboards using Power BI, Tableau, or comparable BI tools Manage and mentor a team of dashboard developers; drive knowledge-sharing and skill development Translate complex project requirements into scalable, performance-optimized dashboards Partner with internal stakeholders, including research and client services, to align dashboard outputs with business needs Ensure high standards of data accuracy, security, and responsiveness across deliverables Oversee version control, documentation, and best-practice deployment pipelines Stay ahead of BI and visualization trends; proactively implement improvements and innovations Technical Expertise : Backend Development PHP 8+ (8+ years) | Frameworks: Laravel, CodeIgniter or similar MVC frameworks REST & SOAP API design for seamless data connectivity Database Expertise PostgreSQL, MySQL, MS SQL | Advanced querying & optimization Big data engines: Google BigQuery, AWS Athena Strong data modelling skills for real-time dashboard performance Frontend / Visualization HTML, CSS, JavaScript with React, Vue.js, jQuery Responsive UI with Bootstrap & Blade templating Visual libraries: Chart.js, D3.js, Highcharts, Google Charts Cloud & DevOps AWS & Google Cloud deployment and data processing Containers: Docker, Vagrant, VirtualBox CI/CD: Jenkins, CircleCI, GitHub Actions Caching & Performance Redis, Memcached for low latency, high volume dashboards Security & Code Quality Data access control and role-based permissions PHPUnit testing, Git/SVN versioning, clean documentation Agile collaboration via JIRA, Confluence, Slack Required Qualifications 9–10 years of experience in BI/dashboard development and data engineering At least 2–3 years of people management and team leadership experience Strong experience engaging with senior stakeholders across regions Proven ability to deliver enterprise-grade dashboards in a global environment Background in healthcare or market research preferred Ideal Profile Visionary thinker with the ability to lead and inspire dashboard teams Excellent communicator with strong stakeholder management skills Deep understanding of data storytelling, visual best practices, and user experience Hands-on leader who drives innovation while maintaining delivery excellence Life at Research Partnership We love what we do and continuously strive for innovation and creativity. We believe everyone should continuously be learning and provide: A comprehensive training and development programme for all staff, from entry-level apprentices to senior management Opportunities for international travel and collaboration A relaxed and friendly working environment About Inizio Advisory Research Partnership is part of Inizio Advisory, a trusted advisor for pharmaceutical and life science companies that turns science into strategy, supporting execution at every stage of the product and patient journey from early commercialization to launch and beyond. Offering market research and insights; strategy; people and transformation consulting; and commercial benchmarking delivered through sector-specific connected solutions and intelligence, Inizio Advisory helps create long-term value for clients and their patients. Don't meet every job requirement? That's okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.

Location: Remote (India-based preferred) Type: Full-time | Founding Team | High Equity Company: Flickd (www.flickd.in) About the Role We’re building India’s most advanced virtual try-on engine — think Doji meets TryOnDiffusion, but optimized for real-world speed, fashion, and body diversity. As our ML Engineer (Computer Vision + Try-On) , you’ll own the end-to-end pipeline : from preprocessing user/product images to generating hyper-realistic try-on results with preserved pose, skin, texture, and identity. You’ll have full autonomy to build, experiment, and ship — working directly with React, Spring Boot, DevOps, and design folks already in place. This is not a junior researcher role. This is one person building the brain of the system - and setting the foundation for India's biggest visual shopping innovation. What You’ll Build Stage 1: User Image Preprocessing Human parsing (face, body, hair), pose detection, face/limb alignment Auto orientation, canvas resizing, brightness/contrast normalization Stage 2: Product Image Processing Background removal, garment segmentation (SAM/U^2-Net/YOLOv8) Handle occlusions, transparent clothes, long sleeves, etc. Stage 3: Try-On Engine Implement and iterate on CP-VTON / TryOnDiffusion / FlowNet Fine-tune on custom data for realism, garment drape, identity retention Inference Optimisation TorchScript / ONNX, batching, inference latency minimization Collaborate with DevOps for Lambda/EC2 + GPU deployment Postprocessing Alpha blending, edge smoothing, fake shadows, cloth-body warps You’re a Fit If You: Have 2–5 years in ML/CV with real shipped work (not just notebooks) Have worked on: human parsing, pose estimation, cloth warping, GANs Are hands-on with PyTorch , OpenCV, Segmentation Models, Flow or ViT Can replicate models from arXiv fast, and care about output quality Want to own a system seen by millions , not just improve metrics Stack You’ll Use PyTorch, ONNX, TorchScript, Hugging Face DensePose, OpenPose, Segment Anything, Diffusion Models Docker, Redis, AWS Lambda, S3 (infra is already set up) MLflow or DVC (can be implemented from scratch) For exceptional talent, we’re flexible on cash vs equity split. Why This Is a Rare Opportunity Build the core AI product that powers a breakout consumer app Work in a zero BS, full-speed team (React, SpringBoot, DevOps, Design all in place) Be the founding ML brain and shape all future hires Ship in weeks, not quarters — and see your output in front of users instantly Apply now, or DM Dheekshith (Founder) on LinkedIn with your GitHub or project links. Let’s build something India’s never seen before.

Bizoforce is actively hiring an experienced AI/ML Engineer to join our innovative team and work on cutting-edge solutions in Generative AI, LLMs, and multi-agent architectures. This is a fully remote role based in India, ideal for professionals passionate about AI innovation and real-world deployment. You’ll be contributing to advanced applications such as LLM-based tutoring systems, OCR-powered tools, AI content generators, and data-driven assistants in EdTech, enterprise, and healthcare domains. A clinical background is a plus but not required. Key Responsibilities: * Design, develop, and deploy scalable LLM-based systems, RAG pipelines, and Generative AI applications * Engineer structured prompts for reliable outputs using zero-shot, CoT, few-shot, and meta-prompting methods * Build and integrate multi-modal AI models (text, vision, OCR, etc.) using frameworks like Crew AI, LangGraph * Develop and manage backend systems using Python (FastAPI/Flask), with Redis, PostgreSQL, MongoDB * Collaborate with cross-functional teams for full ML lifecycle (data, model, API, deployment, optimization) * Use tools like Docker, GitHub Actions (CI/CD), and deploy on AWS, Azure, or GCP environments * Participate in code reviews, testing, and MLops workflows to ensure high-quality, scalable output Required Skills * 5+ years of experience in AI/ML engineering with strong backend development skills * Expert-level Python programming and experience with FastAPI or Flask * Hands-on experience with LLMs (GPT-4, LLaMA, Claude, Phi3), Generative AI, and Prompt Engineering * Familiarity with frameworks such as LangChain, LangGraph, Crew AI, Smol Agents * Strong understanding of RAG (Retrieval-Augmented Generation), multi-agent AI systems * Experience in Computer Vision (OpenCV, YOLOv8), OCR (DocTR, TrOCR, Mistral OCR) * Vector DBs: Milvus, FAISS, RedisVector; Databases: MongoDB, PostgreSQL * Cloud: AWS (S3, EC2, SageMaker), Azure, GCP; Tools: Docker, Git, GitHub Actions * Bonus: Experience in EdTech or clinical AI solutions (not mandatory)