42702 Gcp Jobs - Page 25

SDE-2 Location : Pune Experience : 3-4 years DViO is one of the largest independent, highly awarded, tech-first marketing companies with a team of 175+ people operating across India, Middle East and South East Asia. We are looking for a Senior Software Engineer (SDE-2) to join our team. The ideal candidate will have a strong background in software development and experience with both frontend and backend technologies. We are looking for someone who is also passionate about solving challenging problems through code and is looking to grow in this field. Responsibilities Lead technical design sessions, establish coding standards, and conduct code reviews. Contribute hands‑on to feature development, refactoring, and performance improvements. Mentor and upskill junior engineers through pair programming, feedback, and structured learning plans. Maintain and evolve our deployment pipelines on our cloud stack. Oversee ETL workflows and ensure data freshness, integrity, and observability. Integrate and optimize AI capabilities within the product. Collaborate closely with Product and Design to translate requirements into robust technical solutions. Champion best practices in testing, security, and documentation. Requirements Qualifications: Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field. 4–6 years of professional software development experience, including ≥1 year mentoring or leading engineers. Strong computer‑science fundamentals in data structures, algorithms, and system design. Deep understanding of object-oriented/functional design and relational databases. Proficiency in one or more modern web stacks and comfort navigating both backend and frontend codebases. Proven ability to balance delivery speed with long-term maintainability; strong written and verbal communication skills. Must-have skills: Backend: Proficiency in at least one of Python, Node.js, PHP, Go, or Java; experience with an MVC or equivalent framework. Frontend: Proficiency in React, Next.js, Vue, or Angular; deep knowledge of HTML5, CSS3, and modern JavaScript/TypeScript. APIs & Data: Designing and consuming RESTful APIs; working with Relational databases (MySQL, PostgreSQL, etc.). Containers & Cloud: Docker‑based development and deployment; basic familiarity with AWS, GCP, or Azure services; CI/CD using GitHub Actions, GitLab CI, or similar. Quality & DevEx: Unit/integration testing, Git‑based workflows, and peer code reviews. Good‑to‑Have Skills Practical experience integrating LLM APIs (OpenAI, Anthropic) into applications, including prompt design and cost/performance considerations. Hands‑on experience with data engineering, ETL pipelines, and warehouse querying; comfort debugging data issues. UI component libraries (shadcn/ui, Chakra UI, Radix UI) and CSS frameworks (TailwindCSS, Bootstrap). Data‑visualization libraries (D3.js, Chart.js, Recharts). Caching (Redis, Memcached) and search systems (Elasticsearch, Meilisearch, Typesense). Data warehouses or lakes (Snowflake, BigQuery, Redshift) and SQL performance tuning. Bash scripting and strong Linux system knowledge. Benefits DViO offers innovative and challenging work environment with the opportunity to work on cutting-edge technologies. Join us and be a part of a dynamic team that is passionate about software development and build applications that will shape the future of digital marketing.

Role Purpose The purpose of the role is to resolve, maintain and manage clients software/ hardware/ network based on the service requests raised from the end-user as per the defined SLAs ensuring client satisfaction Do Ensure timely response of all the tickets raised by the client end user Service requests solutioning by maintaining quality parameters Act as a custodian of clients network/ server/ system/ storage/ platform/ infrastructure and other equipments to keep track of each of their proper functioning and upkeep Keep a check on the number of tickets raised (dial home/ email/ chat/ IMS), ensuring right solutioning as per the defined resolution timeframe Perform root cause analysis of the tickets raised and create an action plan to resolve the problem to ensure right client satisfaction Provide an acceptance and immediate resolution to the high priority tickets/ service Installing and configuring software/ hardware requirements based on service requests 100% adherence to timeliness as per the priority of each issue, to manage client expectations and ensure zero escalations Provide application/ user access as per client requirements and requests to ensure timely solutioning Track all the tickets from acceptance to resolution stage as per the resolution time defined by the customer Maintain timely backup of important data/ logs and management resources to ensure the solution is of acceptable quality to maintain client satisfaction Coordinate with on-site team for complex problem resolution and ensure timely client servicing Review the log which Chat BOTS gather and ensure all the service requests/ issues are resolved in a timely manner Mandatory Skills: Cloud-PaaS-GCP-Google Cloud Platform.

Greetings from Technogen !!! We thank you for taking time about your competencies and skills, while allowing us an opportunity to explain about us and our Technogen , we understand that your experience and expertise are relevant the current open with our clients. About Technogen : https://technogenindia.com/ Technogen India Pvt. Ltd. is a boutique Talent & IT Solutions company, founded in 2008, has been serving global customers for over last 2 decades,. Talent Solutions: We assist several GCCs, Global MNCs and IT majors on their critical and unique IT talent needs through our services around Recruitment Process Outsourcing (RPO), contract staffing, permanent hiring, Hire-Train-Deploy (HTD), Build-Operate-Transfer (BOT) and Offshore staffing. Job Title : Data Engineer Required Experience : 8 years Work Mode: WFO-4 Days from Office. Shift Time : UK Shift Time-12:00 PM IST to 09:00 PM IST. Location : Hyderabad. Job Summary:- The Opportunity seeking a Data Engineer and Problem Manager , based out of our Technology & Innovation Center in Hyderabad, India, reporting to the IT Director for Enterprise Data and Analytics. The person in this role will be responsible for managing, monitoring, and maintaining scalable data integration and analytics pipelines to support enterprise reporting and data-driven decision-making. This role requires close collaboration with cross-functional teams to integrate data from various source systems into a centralized, cloud-based data warehouse Primarily leveraging tools such as Google Big Query, Python, SQL, DBT, and Cloud Composer (Airflow). The Data Engineer will also be responsible for implementing data quality checks, managing orchestration workflows, and delivering business-ready datasets aligned with enterprise data strategy. What Your Impact Will Be:- Experience in Incident Management + Problem Management + RCA activity ITIL Certification will be preferred Experience in O2C, R2P business processes Monitoring and analysing data integration pipelines to ingest structured and semi-structured data from enterprise systems (e.g., ERP, CRM, E-commerce, Order Management) into a centralized cloud data warehouse using Google BigQuery. Build analytics-ready pipelines that transform raw data into trusted, curated datasets for reporting, dashboards, and advanced analytics. Implement transformation logic using DBT to create modular, maintainable, and reusable data models that evolve with business needs. Apply BigQuery best practicesincluding partitioning, clustering, and query optimizationto ensure high performance and scalability. Automate data workflows using Cloud Composer (Airflow), ensuring reliable execution, task dependency management, and timely data delivery. Develop efficient, reusable Python and SQL code for data ingestion, transformation, validation, and performance tuning across the pipeline lifecycle. Establish robust data quality checks and testing strategies to validate both technical accuracy and alignment with business logic. Collaborate with cross-functional teamsincluding data analysts, BI developers, and product owners—to understand integration needs and deliver impactful, business-aligned data solutions. Leverage modern ETL platforms such as Ascend.io, Databricks, Dataflow, or Fivetran to accelerate development and improve observability and orchestration. Contribute to technical documentation, CI/CD workflows, and monitoring processes to drive transparency, reliability, and continuous improvement across the data engineering ecosystem. What We’re Looking For:- Bachelor's or master's degree in computer science, Data Engineering, Information Systems, or related technical field. 8+ years of hands-on experience in data engineering with a focus on data integrations, warehousing, and analytics pipelines. Hands on experience in troubleshooting and diagnosis problem and root cause finding and communicate to development team Techno Functional knowledge in ERP application integration in O2C and R2P area Hands-on experience with:- Google Big Query as a centralized data warehousing and analytics platform. Python for scripting, data processing, and integration logic. SQL for data transformation, complex querying, and performance tuning. DBT for building modular, maintainable, and reusable transformation models. Airflow / Cloud Composer for orchestration, dependency management, and job scheduling. Solid understanding of ITIL Incident management and problem management. Strong knowledge of data testing frameworks, validation methods, and best practices. Preferred Skills (Optional):- Experience with Ascend.io or comparable ETL platforms such as Databricks, Dataflow, or Fivetran. Familiarity with data cataloging and governance tools like Collibra. Knowledge of CI/CD practices, Git-based workflows, and infrastructure automation tools. Exposure to event-driven or real-time streaming pipelines using tools like Pub/Sub or Kafka. Strong problem-solving and analytical mindset with the ability to think broadly and identify innovative solutions and able to quick to learn new technologies, programming languages, and frameworks. Excellent communication skills, both written and verbal. Ability to work in a fast-paced and collaborative environment. Good experience in Agile Methodologies like Scrum, Kanban, and managing IT backlogs. What It’s Like to Work Here:- We are a purpose-driven company aiming to empower the next generation to explore the wonder of childhood and reach their full potential. We live up to our purpose employing the following behaviors: We collaborate: Being a part of means being part of one team with shared values and common goals. Every person counts and working closely together always brings better results. Partnership is our process, and our collective capabilities are our superpowers. We innovate: At we always aim to find new and better ways to create innovative products and experiences. No matter where you work in the organization, you can always make a difference and have a real impact. We welcome new ideas and value new initiatives that challenge conventional thinking. We execute: We are a performance driven company. We strive for excellence and are focused on pursuing best in class outcomes. We believe in accountability and ownership and know that our people are at their best when they are empowered to create and deliver results.

exp:- 7+ years( 4 to 6 years relevant experience ) Design and implement scalable infrastructure and cloud solutions (AWS, Azure, GCP) Perform IT infrastructure assessments and provide strategic recommendations Develop and execute cloud migration strategies Monitor and optimize cloud and on-premises systems for performance and cost Ensure data security and compliance with relevant regulations Collaborate with cross-functional teams to integrate systems smoothly Troubleshoot and resolve infrastructure and cloud-related issues Deliver technical documentation and training to clients and internal teams Do Provide adequate support in architecture planning, migration & installation for new projects in own tower (platform/dbase/ middleware/ backup) Lead the structural/ architectural design of a platform/ middleware/ database/ back up etc. according to various system requirements to ensure a highly scalable and extensible solution Conduct technology capacity planning by reviewing the current and future requirements Utilize and leverage the new features of all underlying technologies to ensure smooth functioning of the installed databases and applications/ platforms, as applicable Strategize & implement disaster recovery plans and create and implement backup and recovery plans Manage the day-to-day operations of the tower Manage day-to-day operations by troubleshooting any issues, conducting root cause analysis (RCA) and developing fixes to avoid similar issues. Plan for and manage upgradations, migration, maintenance, backup, installation and configuration functions for own tower Review the technical performance of own tower and deploy ways to improve efficiency, fine tune performance and reduce performance challenges Develop shift roster for the team to ensure no disruption in the tower Create and update SOPs, Data Responsibility Matrices, operations manuals, daily test plans, data architecture guidance etc. Provide weekly status reports to the client leadership team, internal stakeholders on database activities w.r.t. progress, updates, status, and next steps Leverage technology to develop Service Improvement Plan (SIP) through automation and other initiatives for higher efficiency and effectiveness Team Management Resourcing Forecast talent requirements as per the current and future business needs Hire adequate and right resources for the team Train direct reportees to make right recruitment and selection decisions Talent Management Ensure 100% compliance to Wipros standards of adequate onboarding and training for team members to enhance capability & effectiveness Build an internal talent pool of HiPos and ensure their career progression within the organization Promote diversity in leadership positions Performance Management Set goals for direct reportees, conduct timely performance reviews and appraisals, and give constructive feedback to direct reports. Ensure that organizational programs like Performance Nxt are well understood and that the team is taking the opportunities presented by such programs to their and their levels below Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Proactively challenge the team with larger and enriching projects/ initiatives for the organization or team Exercise employee recognition and appreciation Mandatory Skills: Infra Cloud Computing Consulting.Experience: 5-8 Years.

Description Python -Gen AI Lead Requirements Total Experience: 10+ years Generative AI Experience: 1+ years Core Skills- Programming & Frameworks Languages: Python Web Frameworks: FastAPI Data Handling & Visualization: Pandas, Matplotlib File Processing: PyMuPDF, PyPDF2, and other PDF/text processing libraries Generative AI & LLM Ecosystem Prompt Engineering Frameworks & Tools: LangChain Techniques: Retrieval-Augmented Generation (RAG) LLMs: ChatGPT, LLaMA, Claude (Anthropic), Amazon Bedrock, and other foundational models Embeddings & Vector Search Good To Have- LangGraph, LlamaIndex Databases Relational: PostgreSQL NoSQL: MongoDB Vector Databases: Milvus, Weaviate, Pinecone, and similar Cloud & Deployment Platforms: AWS, Azure, GCP Deployment Environments: Cloud and On-Premise Job responsibilities Total Experience: 10+ years Generative AI Experience: 1+ years Core Skills- Programming & Frameworks Languages: Python Web Frameworks: FastAPI Data Handling & Visualization: Pandas, Matplotlib File Processing: PyMuPDF, PyPDF2, and other PDF/text processing libraries Generative AI & LLM Ecosystem Prompt Engineering Frameworks & Tools: LangChain Techniques: Retrieval-Augmented Generation (RAG) LLMs: ChatGPT, LLaMA, Claude (Anthropic), Amazon Bedrock, and other foundational models Embeddings & Vector Search Good To Have- LangGraph, LlamaIndex Databases Relational: PostgreSQL NoSQL: MongoDB Vector Databases: Milvus, Weaviate, Pinecone, and similar Cloud & Deployment Platforms: AWS, Azure, GCP Deployment Environments: Cloud and On-Premise What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

Experience on working with ETL on a data warehouse or big data projects. Experience with cloud services like Azure or GCP or AWS with respect to the data related services, could be just ETL, data cleanup or BI but has potential to be groomed in a 1-2 month period. Should have energy and enthusiasm to get into new things, able to stretch. Good SQL skills and able to solve complex problems in database SQL language efficiently. Able to identify and resolve performance and scalability issues. Basic understanding of reporting tools and basic visuals. Actively participate and manage design and code reviews. Help in estimation the task with assistance. Guide team members on the project, including structured problem solving, development of best practices, etc.

Your future role Take on a new challenge and apply your data engineering expertise in a cutting-edge field. Youll work alongside collaborative and innovative teammates. You'll play a key role in enabling data-driven decision-making across the organization by ensuring data availability, quality, and accessibility. Day-to-day, youll work closely with teams across the business (e.g., Data Scientists, Analysts, and ML Engineers), mentor junior engineers, and contribute to the architecture and design of our data platforms and solutions. Youll specifically take care of designing and developing scalable data pipelines, but also managing and optimizing object storage systems. Well look to you for: Designing, developing, and maintaining scalable and efficient data pipelines using tools like Apache NiFi and Apache Airflow. Creating robust Python scripts for data ingestion, transformation, and validation. Managing and optimizing object storage systems such as Amazon S3, Azure Blob, or Google Cloud Storage. Collaborating with Data Scientists and Analysts to understand data requirements and deliver production-ready datasets. Implementing data quality checks, monitoring, and alerting mechanisms. Ensuring data security, governance, and compliance with industry standards. Mentoring junior engineers and promoting best practices in data engineering. All about you We value passion and attitude over experience. Thats why we dont expect you to have every single skill. Instead, weve listed some that we think will help you succeed and grow in this role: Bachelors or Masters degree in Computer Science, Engineering, or a related field. 7+ years of experience in data engineering or a similar role. Strong proficiency in Python and data processing libraries (e.g., Pandas, PySpark). Hands-on experience with Apache NiFi for data flow automation. Deep understanding of object storage systems and cloud data architectures. Proficiency in SQL and experience with both relational and NoSQL databases. Familiarity with cloud platforms (AWS, Azure, or GCP). Exposure to the Data Science ecosystem, including tools like Jupyter, scikit-learn, TensorFlow, or MLflow. Experience working in cross-functional teams with Data Scientists and ML Engineers. Cloud certifications or relevant technical certifications are a plus.

Role Overview We are seeking a detail-oriented Product Analyst to support the Merchant Lending team. The ideal candidate will play a critical role in understanding user behavior, identifying funnel drop-offs, monitoring performance and working closely with Product Managers to drive product improvements through data. Key Responsibilities - Build & monitor funnel performance for various merchant lending offerings. - Write complex SQL queries to extract, clean, and analyze large datasets. - Conduct Root Cause Analysis (RCA) to identify bottlenecks or anomalies in product flows to deliver actionable insights and recommendations to Product Managers. - Generate insights and validate hypotheses by working closely with Product Managers on user product interaction data. - Keep plugged in to the latest developments in the data engineering, analytics and sciences ecosystem leveraging technologies such as LLMs to solve repetitive problems using a platform approach. - Create dashboards and reports using Looker, MS Excel, and other BI tools to track KPIs. - Collaborate with engineering, risk, and operations to support product experimentation and data validation. - Automate regular reporting and deep dives for advanced analysis. Requirements - Bachelors degree in Engineering, Mathematics, Statistics, or a related field. - 2-4 years of experience in a data or product analytics role, preferably in fintech - Strong proficiency in SQL (window functions, CTEs, joins, nested queries, etc.). - Hands-on experience with Python for data analysis and automation. - Experience working with Looker (or similar BI tools like Tableau, Power BI).Advanced skills in Microsoft Excel, including pivot tables, data cleaning, and charting. - Strong problem-solving skills with a structured approach to analysis. - Ability to communicate complex data insights in a clear and actionable manner. - Experience with AI/ML tools and ability to leverage LLMs (e.g., ChatGPT, Claude) for data summarization, insight generation, and automation. - Familiarity with prompt engineering and an understanding of agentic AI systems and their applications in product analytics. - Requirements (Nice to Have)Familiarity with A/B testing and experimentation design. - Exposure to lending or risk-related product workflows. - Understanding of funnel analysis, conversion optimization, and behavioral analytics.

Sr. QA Engineer, Distributed CloudWe are seeking a Sr. QA Engineer to join our Distributed Cloud team and help ensure our platform meets the highest standards of quality, reliability, and performance. This is a hands-on, technical role where you will design and execute automated and manual tests, validate distributed systems, and work closely with engineering teams to drive quality throughout the development lifecycle. What Youll Do Design, develop, and maintain automated test frameworks and test suites for the Distributed Cloud platform. Collaborate with developers, product managers, and other QA engineers to define test strategies and acceptance criteria. Validate complex, distributed systems across multi-cloud environments. Identify, document, and track defects through resolution. Perform performance, scalability, and reliability testing to ensure our platform can handle global-scale workloads. Create and maintain test plans, test cases, and documentation. Participate in design and code reviews to ensure quality is built into every stage of development. Mentor junior QA engineers and promote best practices in test automation and quality assurance. Investigate production issues and contribute to root cause analysis and remediation strategies. What Youll Bring 9+ years of experience in Quality Assurance, with at least 7 years focused on automation. Proficiency in one or more scripting/programming languages (Python, Go, JavaScript, etc.) for test automation. Experience with automation frameworks (Selenium, Cypress, Playwright, or similar). Strong understanding of distributed systems, microservices, and APIs. Experience testing in cloud environments (AWS, Azure, GCP). Familiarity with CI/CD pipelines, version control (Git), and DevOps practices. Knowledge of performance/load testing tools (JMeter, Locust, Gatling, etc.) is a plus. Strong problem-solving skills, attention to detail, and commitment to delivering high-quality results. Excellent communication skills and ability to work effectively in a collaborative, cross-functional team. Bachelors degree in Computer Science, Engineering, or equivalent practical experience.

We are seeking a Senior QA Engineer to join our Distributed Cloud team and help ensure our platform meets the highest standards of quality, reliability, and performance. This is a hands-on, technical role where you will design and execute automated and manual tests, validate distributed systems, and work closely with engineering teams to drive quality throughout the development lifecycle. What Youll Do Design, develop, and maintain automated test frameworks and test suites for the Distributed Cloud platform. Collaborate with developers, product managers, and other QA engineers to define test strategies and acceptance criteria. Validate complex, distributed systems across multi-cloud environments. Identify, document, and track defects through resolution. Perform performance, scalability, and reliability testing to ensure our platform can handle global-scale workloads. Create and maintain test plans, test cases, and documentation. Participate in design and code reviews to ensure quality is built into every stage of development. Mentor junior QA engineers and promote best practices in test automation and quality assurance. Investigate production issues and contribute to root cause analysis and remediation strategies. What Youll Bring 7+ years of experience in Quality Assurance, with at least 4 years focused on automation. Proficiency in one or more scripting/programming languages (Python, Go, JavaScript, etc.) for test automation. Experience with automation frameworks (Selenium, Cypress, Playwright, or similar). Strong understanding of distributed systems, microservices, and APIs. Experience testing in cloud environments (AWS, Azure, GCP). Familiarity with CI/CD pipelines, version control (Git), and DevOps practices. Knowledge of performance/load testing tools (JMeter, Locust, Gatling, etc.) is a plus. Strong problem-solving skills, attention to detail, and commitment to delivering high-quality results. Excellent communication skills and ability to work effectively in a collaborative, cross-functional team. Bachelors degree in Computer Science, Engineering, or equivalent practical experience.

We are seeking a QA Engineer III to join our Distributed Cloud team and help ensure our platform meets the highest standards of quality, reliability, and performance. This is a hands-on, technical role where you will design and execute automated and manual tests, validate distributed systems, and work closely with engineering teams to drive quality throughout the development lifecycle. What Youll Do Design, develop, and maintain automated test frameworks and test suites for the Distributed Cloud platform. Collaborate with developers, product managers, and other QA engineers to define test strategies and acceptance criteria. Validate complex, distributed systems across multi-cloud environments. Identify, document, and track defects through resolution. Perform performance, scalability, and reliability testing to ensure our platform can handle global-scale workloads. Create and maintain test plans, test cases, and documentation. Participate in design and code reviews to ensure quality is built into every stage of development. Mentor junior QA engineers and promote best practices in test automation and quality assurance. Investigate production issues and contribute to root cause analysis and remediation strategies. What Youll Bring 5+ years of experience in Quality Assurance, with at least 4 years focused on automation. Proficiency in one or more scripting/programming languages (Python, Go, JavaScript, etc.) for test automation. Experience with automation frameworks (Selenium, Cypress, Playwright, or similar). Strong understanding of distributed systems, microservices, and APIs. Experience testing in cloud environments (AWS, Azure, GCP). Familiarity with CI/CD pipelines, version control (Git), and DevOps practices. Knowledge of performance/load testing tools (JMeter, Locust, Gatling, etc.) is a plus. Strong problem-solving skills, attention to detail, and commitment to delivering high-quality results. Excellent communication skills and ability to work effectively in a collaborative, cross-functional team. Bachelors degree in Computer Science, Engineering, or equivalent practical experience.

We are seeking a QA Engineer III to join our Distributed Cloud team and help ensure our platform meets the highest standards of quality, reliability, and performance. This is a hands-on, technical role where you will design and execute automated and manual tests, validate distributed systems, and work closely with engineering teams to drive quality throughout the development lifecycle. What Youll Do Design, develop, and maintain automated test frameworks and test suites for the Distributed Cloud platform. Collaborate with developers, product managers, and other QA engineers to define test strategies and acceptance criteria. Validate complex, distributed systems across multi-cloud environments. Identify, document, and track defects through resolution. Perform performance, scalability, and reliability testing to ensure our platform can handle global-scale workloads. Create and maintain test plans, test cases, and documentation. Participate in design and code reviews to ensure quality is built into every stage of development. Mentor junior QA engineers and promote best practices in test automation and quality assurance. Investigate production issues and contribute to root cause analysis and remediation strategies. What Youll Bring 5+ years of experience in Quality Assurance, with at least 4 years focused on automation. Proficiency in one or more scripting/programming languages (Python, Go, JavaScript, etc.) for test automation. Experience with automation frameworks (Selenium, Cypress, Playwright, or similar). Strong understanding of distributed systems, microservices, and APIs. Experience testing in cloud environments (AWS, Azure, GCP). Familiarity with CI/CD pipelines, version control (Git), and DevOps practices. Knowledge of performance/load testing tools (JMeter, Locust, Gatling, etc.) is a plus. Strong problem-solving skills, attention to detail, and commitment to delivering high-quality results. Excellent communication skills and ability to work effectively in a collaborative, cross-functional team. Bachelors degree in Computer Science, Engineering, or equivalent practical experience.

Position Summary F5s Distributed Cloud platform enables businesses to deploy, secure, and operate applications across public clouds, private data centers, and the edge. We are seeking a Senior UI Engineer to design and build intuitive, high-performing, and accessible user experiences for our platform. In this role, you will work closely with product managers, UX designers, and backend engineers to deliver engaging, scalable, and maintainable UI solutions that empower our customers to manage complex distributed systems with ease. You will have ownership in translating product requirements into front-end architecture, writing clean, efficient code, and mentoring other engineers in UI best practices. What Youll Do Design, develop, and maintain modern, responsive UI components for the Distributed Cloud platform. Collaborate with UX designers and product managers to deliver user interfaces that are both functional and visually compelling. Partner with backend engineers to integrate APIs and ensure seamless data flow between front-end and backend systems. Establish and maintain front-end architecture standards, ensuring scalability, maintainability, and performance. Drive adoption of best practices in accessibility, testing, and UI performance optimization. Mentor junior engineers and provide technical leadership in UI development. Stay up to date on emerging UI frameworks, tools, and trends, and recommend their adoption when beneficial. Contribute to code reviews, design discussions, and team-wide technical decisions. Minimum Qualifications 5+ years of experience building modern web applications with JavaScript, TypeScript, HTML5, and CSS3. Deep expertise with React.js (or similar frameworks) and state management libraries such as Redux, MobX, or Recoil. Experience integrating RESTful APIs and/or GraphQL into production-grade UI applications. Strong understanding of responsive design, accessibility (WCAG), and cross-browser compatibility. Proficiency with build tools and front-end workflows (Webpack, Babel, npm, Yarn). Familiarity with UI testing frameworks such as Jest, Cypress, or Playwright. Excellent problem-solving skills and ability to translate complex workflows into intuitive interfaces. Bachelors degree in Computer Science, Human-Computer Interaction, or related field, or equivalent experience. Preferred Qualifications Experience building enterprise-scale SaaS UIs or platforms for technical users. Knowledge of cloud platforms (AWS, Azure, GCP) and distributed system concepts. Familiarity with containerization technologies such as Docker and Kubernetes. Experience with design systems and component libraries at scale (Storybook, Material UI, etc.).

As a Java Developer, your main responsibilities will involve: Developing new projects and enhancements; Working in teams following agile development practices; Being involved in Development, Continuous Integration and time-boxed iterative development; Participating in design workshops; Performing code reviews and reviews of technical documentation; Owning the full development lifecycle, including the delivery of quality technical materials for each project; Learning new technologies and languages; Your key responsibilities Contribute to all phases of the development lifecycle Write well designed, testable, efficient code Ensure designs are in compliance with specifications Prepare and produce releases of software components Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review Your skills and experience As a Full Stack Java Developer your skills will include: Ambitious self-starter mindset who can serve as a strong advocate for our customers. We need proven analytical capabilities, operating system experience (Linux/Windows), and the tenacity to develop ideas. Experience with Java programming language (Java 17 will be a plus) Knowledge with various design and architectural patterns; Experience of Java application servers, ideally Tomcat Mockito and/or any automatic testing framework Experience of relational databases Languages and Frameworks: Java, Spring, Spring Boot, Microservices, React JS/Angular JS, J2EE, Hibernate, Junit, Cloud (GCP, Azure, AWS), Mockito Tools: GIT, Eclipse/IntelliJ, Maven/Gradle, Linux/Unix shell scripting, JMS/MQ, Kafka Database: Postgres (preferred) Oracle Programming language knowledge in Python Utilizing Data Modelling tools, Domain Driven design and a strong knowledge of SQL and advanced data analysis to deliver good quality code within enterprise scale development (CI/CD) Experience with development utilising SDLC tools - Git, JIRA, Artifactory, Jenkins/TeamCity, OpenShift Identify bottlenecks and bugs, and devise solutions to these problems Maintain code quality, organization, and automation Translate application storyboards and use cases into functional applications Design, build, and maintain efficient, reusable, and reliable Java code Ensure the best possible performance, quality, and responsiveness of the applications Nice to have Experience of agile methodologies, ideally Scrum JMS/MQ experience

Build and support applications as full stack developer - Java, React (Primary), micro services, Sql. Need strong React skills. End to end technical design, development, stabilization, and enhancement of distributed applications. Collaborate with architect, business analyst, developers, and SCRUM master to deliver suitable solution which can cope with the business need. Good understanding of Kafka and other messaging platforms. GCP experience to help onboard apps to GCP. Ensure a high-quality standard of deliverables according to Industry standards and best practices. Prepare project-related documentation Confluence, JIRA updates, provide support on compliance and audit checking Project relevant documentation, ensure compliance and audit policies are strictly followed. Provide professional consultancy and support in response to the queries from developers and business on security access Work closely with global and regional stakeholders and global development team on mandatory / regulatory / development projects. Ensure systems complying with group infrastructure and security policies and standards. Experience of working in a multicultural environment demonstrable ability to adapt to different cultures. Your key responsibilities Lead developer full stack (Java, Microservices, React primarily). Should be able to review code and help the team. Integrate with CI/CD pipeline , sonar scan and unit test coverage. Hands on experience on various technologies and should be able to lead the team on technical architecture. Collaborate with global stakeholders and business partners for application /product delivery. Experience of grooming and leading the team. The role is expected to carry strong technical, programming, analytical and troubleshooting skills. Ability to bring in strong Engineering culture within the team with CI/CD, Sonar scans and one click deployments. Responsible for providing Level 3 production support, change management for the assigned applications. Need to be able to diagnose/triage/resolve production incidents. Need to work with vendor products within Bank and be able to design/develop/enhance applications/product. Responsible to help with hiring activities, talent management. Your skills and experience Hands on experience with technologies such as Java and React JS primarily and knowledge of Springboot , Kafka, Cloud, DevOps , Unit testing tools like Junit. Strong agile skills with running app Dev , Dev Ops. Expertise on build tools Jenkins , Git , TeamCity, GitHub Actions. Functional expertise working in a financial bank domain would be huge benefit. Strong team player who also can work under pressure, independently and proactively while balancing competing priorities to achieve results on complex new development and integrations.

The TDI Engineering Platforms and Practice group own the governance standards for SDLC across the entire firm. Our tools and platforms are used by every single development team. Our mission is to provide a frictionless software delivery experience whilst safeguarding the integrity of the software supply chain. That means we both define governance and tooling to make it easy for teams to demonstrate compliance to those standards. We are excited to be embarking on a journey of transformation, providing a new governance landscape for our customers. You will work as part of a cross-functional agile delivery team. You will bring an innovative approach to software development, focusing on using the latest technologies and practices, as part of a relentless focus on business value. You will be someone who sees engineering as team activity, with a predisposition to open code, open discussion and creating a supportive, collaborative environment. You will be ready to contribute to all stages of software delivery, from initial analysis right through to production support. Your key responsibilities You are involved in the whole Software Development Lifecycle starting from analyzing requirements, developing, deploying and testing software as well as maintaining & continuously improving it. Your primary focus will be on software design, development and unit-testing activities including peer code reviews. You provide high-quality solutions that meet functional as well as non-functional requirements. Ensure that the software you build is reliable and easy to support in production. Be prepared to take your turn on call providing 3rd line support when its needed. You actively participate and contribute into the sprint activities and ceremonies e.g. daily stand-up, Sprint planning, retrospectives, refinements etc. You collaborate with other team members to achieve the sprint objectives. Your skills and experience Several years of professional experience and expert knowledge in TypeScript, Angular. Advanced knowledge and practical experience of NodeJS Several years of professional experience and expert knowledge with regards to GitHub Actions,GitHub Actions Workflow Experience of working on public cloud GCP preferred. Practical experience of test-driven development and constant refactoring in continuous integration environment. Experience on modern software product delivery practices, processes and tooling and skills such as CI/CD pipelines using Git Actions etc. Define and evolve the architecture of the components you are working on and contribute to architectural decisions at a department and bank-wide level. Excellent analytical and communication skills, strong independence and initiative, ability to work in agile delivery teams. A passion for constantly learning and applying new technologies and programming languages in a constantly evolving environment. Key Skills TypeScript NodeJS Angular GitHub Actions GCP Advantageous Having prior experience in Banking/Finance domain Having worked on hybrid cloud solutions preferably using GCP Having worked on product development

At the heart of Deutsche Bank's client franchise, is the Corporate Bank (CB), a market leader in Cash Management, Trade Finance & Lending, Securities Services and Trust & Agency services. Focusing on the Treasurers and Finance Departments of Corporate and Commercial clients and Financial Institutions across the Globe, our Universal Expertise and Global Network allows us to offer truly integrated and effective solutions. You will be operating within Corporate Bank Production as a Production Support Engineer in Payments domain. Payments Production domain is a part of Cash Management under Deutsche Bank Corporate Banking division which supports mission critical payments processing and FX platforms for multiple business lines like High Value/Low value / Bulk / Instant / Cheques payments. Team provides 24x7 support and follows follow the sun model to provide exceptional and timebound services to the clients. Our objective at Corporate Bank Production is to consistently strive to make production better which ensures promising End To End experience for our Corporate Clients running their daily Cash Management Business through various access channels. We also implement, encourage, and invest in building Engineering culture in our daily activities to achieve the wider objectives. Our strategy leads to attain reduced number of issues, provide faster resolution on issues, and safeguard any changes being made on our production environment, across all domains at Corporate Bank. You will be accountable to drive a culture of proactive continual improvement into the Production environment through application, user request support, troubleshooting and resolving the errors in production environment. Automation of manual work, monitoring improvements and platform hygiene. Supporting the resolution of issues and conflicts and preparing reports and meetings. Candidate should have experience in all relevant tools used in the Service Operations environment and has specialist expertise in one or more technical domains and ensures that all associated Service Operations stakeholders are provided with an optimum level of service in line with Service Level Agreements (SLAs) / Operating Level Agreements (OLAs). Your key responsibilities Acting as a Production Support Engineer for the CB production team providing second level of support for the applications under the tribe working with key stakeholders and team members across the globe in 365 days, 24/7 working model Ensure all the BAU support queries from business are handled on priority and within agreed SLA and also to ensure all application stability issues are well taken care off. Support the resolution of incidents and problems within the team. Assist with the resolution of complex incidents. Ensure that the right problem solving techniques and processes are applied Embrace a Continuous Service Improvement approach to resolve IT failings, drive efficiencies and remove repetition to streamline support activities, reduce risk, and improve system availability. Be responsible for your own engineering delivery and using data and analytics, drive a reduction in technical debt across the production environment with development and infrastructure teams. Act as a Production Engineering role model to enhance the technical capability of the Production Support teams to create a future operating model embedded with engineering culture Train and Mentor team members to grow to the next role. Bring in the culture of innovation engineering and automation mindset Lead by example to drive a culture of proactive continual improvement into the Production environment through automation of manual work, monitoring improvements and platform hygiene. Works with team members to identify areas of focus, where training may improve team performance, and improve incident resolution. Your skills and experience Highly experienced with Production Application Support and ITIL Practices with Recent experience of applying technical solutions to improve the stability of production environments. Minimum 10+ years experience in IT in large corporate environments, specifically in a L2 production engineering role. Good hands-on knowledge of databases (Oracle/PLSQL etc.), including working experience of writing SQL / PL SQL scripts and queries. Working experience on UNIX/Linux, Solaris,, Python, PowerShell scripts, tools for automation (Batch) Working experience on KAFKA, Kubernetes. Knowledge Understands ITIL Practices Experience in application performance monitoring tools Geneos, Splunk, Grafana & New Relic, Scheduling Tools (Control-M) Working experience in Cloud Services platforms (GCP/ AWS/ Azure). Bachelors degree in computer science or information technology or Programming & Systems Analysis or Science (Computer Studies) Skills That Will Help You Excel Self-motivated with excellent interpersonal, presentation, and communication skills. Able to think strategically with strong analytical and problem-solving skills. Able to handle multiple demands and priorities simultaneously, work under pressure, in an organized manner and with teams across multiple locations and time-zones Able to connect, manage and influence people from different backgrounds and cultures. A strong team player being part of a global team, communicating, managing, and cooperating closely on a global level while being able to take ownership and deliver independently.

About the Role: We are seeking a highly skilled and experienced Machine Learning Engineer to join our dynamic team. As a Machine Learning Engineer, you will be responsible for the design, development, deployment, and maintenance of machine learning models and systems that drive our [mention specific business area or product, e.g., recommendation engine, fraud detection system, autonomous vehicles]. You will work closely with data scientists, software engineers, and product managers to translate business needs into scalable and reliable machine learning solutions. This is a key role in shaping the future and requires a strong technical foundation combined with a passion for innovation and problem-solving. Responsibilities: Model Development & Deployment: Design, develop, and deploy machine learning models using various algorithms (e.g., regression, classification, clustering, deep learning) to solve complex business problems. Select appropriate datasets and features for model training, ensuring data quality and integrity. Implement and optimize model training pipelines, including data preprocessing, feature engineering, model selection, and hyperparameter tuning. Deploy models to production environments using containerization technologies (e.g.,Docker, Kubernetes) and cloud platforms (e.g., AWS, GCP, Azure). Monitor model performance in production, identify and troubleshoot issues, and implement model retraining and updates as needed. Infrastructure & Engineering: Develop and maintain APIs for model serving and integration with other systems. Write clean, well-documented, and testable code. Collaborate with software engineers to integrate models into existing products and services. Research & Innovation : Stay up to date with the latest advancements in machine learning and related technologies. Research and evaluate new algorithms, tools, and techniques to improve model performance and efficiency. Contribute to the development of new machine learning solutions and features. Proactively identify opportunities to leverage machine learning to solve business challenges. Collaboration & Communication: * Collaborate effectively with data scientists, software engineers, product managers, and other stakeholders. * Communicate technical concepts and findings clearly and concisely to both technical and non-technical audiences. * Participate in code reviews and contribute to the team's knowledge sharing. Qualifications: * Experience : 7+ years of experience in machine learning engineering or a related field. Technical Skills: Programming Languages : Proficient in Python and experience with other languages (e.g., Java, Scala, R) is a plus. Machine Learning Libraries : Strong experience with machine learning libraries and frameworks such as scikit-learn, TensorFlow, PyTorch, Keras, etc. Data Processing : Experience with data manipulation and processing using libraries like Pandas, NumPy, and Spark. Model Deployment : Experience with model deployment frameworks and platforms (e.g., TensorFlow Serving, TorchServe, Seldon, AWS SageMaker, Google AI Platform, Azure Machine Learning). Databases : Experience with relational and NoSQL databases (e.g., SQL, MongoDB, Cassandra). Version Control : Experience with Git and other version control systems. DevOps : Familiarity with DevOps practices and tools. Strong understanding of machine learning concepts and algorithms : Regression, Classification, Clustering, Deep Learning etc. Soft Skills: Excellent problem-solving and analytical skills. Strong communication and collaboration skills.

Required Skills: Bachelors degree in Computer Science, Information Systems, or a related field. Minimum 3 years of hands-on experience with SnapLogic or similar iPaaS tools (e.g., MuleSoft, Dell Boomi, Informatica). Strong integration skills with various databases (SQL, NoSQL) and enterprise systems. Proficiency in working with REST/SOAP APIs, JSON, XML, and data transformation techniques. Experience with cloud platforms (AWS, Azure, or GCP). Solid understanding of data flow, ETL/ELT processes, and integration patterns. Excellent analytical, problem-solving, and communication skills. Exposure to DevOps tools and CI/CD pipelines. Experience integrating with Enterprise platforms (e.g., Salesforce) Key Responsibilities: Design, develop, and maintain scalable integration pipelines using SnapLogic. Integrate diverse systems including relational databases, cloud platforms, SaaS applications, and on-premise systems. Collaborate with cross-functional teams to gather requirements and deliver robust integration solutions. Monitor, troubleshoot, and optimize SnapLogic pipelines for performance and reliability. Ensure data consistency, quality, and security across integrated systems. Maintain technical documentation and follow best practices in integration development.

Description Java Backend / Java Fullstack React.Js Developers Location : GlobalLogic Hyderabad (DLF) Work Mode : Hybrid (3 days from Office) Experience: 3-6 years Must Have : Core Java , Java 8, Spring boot Microservices Kafka Any DB(strong Coding skills) Requirements Years of experience: 3to 6 years Job Summary: We are looking for a skilled and proactive Java Full Stack Engineer with strong experience in React JS, Java 17. The ideal candidate will have a solid understanding of event- driven architecture, as well as practical knowledge of both SQL and NoSQL databases. Exposure to DevOps practices and CI/CD pipeline deployment is a strong plus. Required Skills:  Strong hands-on experience with Java 17  Proficient in React JS,  Solid understanding of event-driven architecture and messaging systems (e.g., Kafka, RabbitMQ)  Good knowledge of databases: both SQL and NoSQL  Experience building and consuming RESTful APIs  Familiarity with Git, Maven/Gradle, and other build tools Good to Have:  Familiarity with cloud platforms like AWS, Azure, or GCP  Understanding of security best practices and application monitoring Job responsibilities Key Responsibilities:  Design, develop, and maintain scalable web applications using Java 17, Spring and Hibernate  Build RESTful APIs and integrate front-end components with server-side logic  Develop event-driven services and microservices architecture  Work with SQL (e.g., MySQL, PostgreSQL) databases What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

Lead Engineer-AI/ML: About Us: Headquartered in Sunnyvale, with offices in Dallas & Hyderabad, Fission Labs is a leading software development company,specializing in craftingflexible, agile, and scalable solutions that propelbusinesses forward. With a comprehensive range of services, including product development, cloud engineering, big data analytics, QA, DevOps consulting, and AI/ML solutions, we empower clientsto achieve sustainable digital transformation that aligns seamlessly with their business goals. Role and Responsibilities Design, develop, and deploy advanced AI models with a focus on generative AI, including transformer architectures (e.g., GPT, BERT, T5) and other deep learning models used for text, image, or multimodal generation. Work with extensive and complex datasets,performing tasks such as cleaning, preprocessing, and transforming data to meet quality and relevance standards for generative model training. Collaborate with cross-functional teams (e.g., product,engineering, data science)to identify project objectives and create solutions using generative AI tailored to business needs. Implement, fine-tune, and scale generative AI models in production environments, ensuring robust model performance and efficient resourceutilization. Develop pipelines and frameworks for efficient data ingestion, modeltraining, evaluation, and deployment, including A/B testingand monitoring of generative models in production. Stay informedabout the latestadvancements in generative AI research, techniques, and tools, applying new findings to improve model performance, usability, and scalability. Document and communicate technical specifications, algorithms, and project outcomes to technical and non-technical stakeholders, with an emphasis on explainability and responsible AI practices. Qualifications Required Educational Background: Bachelor’s or Master’s degree in ComputerScience, Data Science, AI/ML, or a relatedfield. Relevant Ph.D.or research experience in generative AI is a plus. Experience: 8-11 years of experience in machine learning, with 2+ years in designing and implementing generative AI models or working specifically with transformer-based models. Technical Expertise: Proficiency in Python, along with experience in libraries and frameworks central to generative AI, such as Hugging Face Transformers, PyTorch,and TensorFlow. Strong understanding of transformer architectures, language models, and generative modelingtechniques (e.g., GANs,VAEs, autoregressive models). Expertise in data processing techniques for training large language models, including handling unstructured data, tokenization, and feature extraction. Familiarity with MLOps practices and tools (e.g.,Docker, Kubernetes, MLflow)for deploying and managing large-scale models in production. Experience with cloud platforms (AWS, GCP, Azure) and GPU/TPU resources for training and fine-tuning large models. Core Skills: Machine Learning: Strong foundation in machine learningalgorithms, deep learning, generative AI techniques. Programming: Proficient in Python, with knowledge of SQL for data handling and retrieval. Data Engineering: Experience with data preprocessing, feature engineering, and data transformation specific to large and complexdatasets. Model Evaluation: Knowledge of model evaluation metrics and techniques for generative models, especially for text generation, image synthesis, or multimodal AI. Soft Skills: Strong analytical and problem-solving skillswith a high level of attention to detail. Excellent communication skills, with the ability to explain complex generative AI concepts to both technical and non-technical audiences. Collaborative mindset with the capability to work effectively in cross-functional teams. Skills and Experience Required: Generative AI: Transformer Models, GANs, VAEs, Text Generation, Image Generation Machine Learning: Algorithms, Deep Learning, Neural Networks Programming: Python,SQL; familiarity with libraries such as HuggingFace Transformers, PyTorch, TensorFlow MLOps: Docker,Kubernetes, MLflow, Cloud Platforms (AWS, GCP, Azure) Data Engineering: Data Preprocessing, Feature Engineering, Data Cleaning We Offer: Opportunity to work on technical challenges with global impact. Vast opportunities for self-development, including online university accessand sponsored certifications. Sponsored Tech Talks & Hackathons to foster innovation and learning. Generous benefits package including health insurance, retirement benefits, flexible work hours, and more. Supportive work environment with forums to explore passionsbeyond work. This role presents an exciting opportunity for a motivated individual to contribute to the development of cutting-edge solutionswhile advancing their career in a dynamic and collaborative environment.

Brudite is an IT Training and Services company shaping the future of technology with Fortune 500 clients. We specialize in empowering young engineers to achieve their dreams through cutting-edge training, innovative products, and comprehensive services. Proudly registered with iStart Rajasthan and Startup India, we are supported by industry leaders like NVIDIA and AWS. Roles and Responsibilities - A can-do attitude to new challenges. Strong understanding of computer science fundamentals, including operating systems, Databases, and Networking. Knowledge of Python or any other programming language. Basic knowledge of Cloud Computing(AWS/Azure/GCP) will be a Plus. Basic Knowledge of Any Front-end Framework will be a Plus. We operate in a fast-paced, startup-like environment, so the ability to work in a dynamic, agile environment is essential. Strong written and verbal communication skills are essential for this role. You'll need to communicate with clients, team members, and stakeholders. Ability to learn and adapt to new technology trends and a curiosity to learn are essential Skills:- Python, Amazon Web Services (AWS), Artificial Intelligence (AI), Machine Learning (ML), Docker, DevOps and Django

Bachelors or Masters degree in Computer Science, Information Technology, or a related field. 4 to 5 years of experience in cybersecurity with a focus on web applications, cloud infrastructure (e.g., AWS/GCP), and API integrations. Proven experience securing at least one major cloud environment (AWS or GCP). Strong understanding of web application security (e.g., OWASP Top 10) and secure coding practices. Proficiency in scripting languages (e.g., Python, Bash) for automation tasks. Familiarity with security frameworks such as ISO 27001, NIST, GDPR, or CIS Controls. Experience implementing tools like WAFs, VPNs, IDS/IPS systems, SIEM solutions, endpoint protection tools, or vulnerability scanners. Relevant certifications such as CISSP, CEH, CISM (or equivalent). Preferred Qualifications Masters degree in Computer Science or related fields. Expertise securing both AWS & GCP environments. Experience with web application frameworks like Django or React. Familiarity with DevSecOps practices and CI/CD pipeline security integration. Proven experience managing Bug Bounty programs or conducting penetration testing for web applications/cloud infrastructure. Knowledge of zero-trust architecture principles. What We Offer Competitive salary and benefits, including family insurance coverage, free health teleconsultations, and learning/upskilling budgets Equity in the company Flexible hours and a hybrid work setup Unlimited PTO Opportunity to grow with a fast-scaling company transforming a large market

Responsibilities: Responsible for the design and implementation of Secure and Scalable Infrastructure Own and automate infrastructure provisioning, demand forecasting & capacity planning Build automation tools and frameworks to improve the system's observability, availability, reliability, performance/latency, monitoring Monitoring system, application health, security controls & cost Practice sustainable incident response as well as participate in peer reviews and blameless postmortems Envision, implement and rollout best DevOps tooling and automation for all of our services Build and maintain CI/CD pipelines Required skills: 4+ years of experience in DevOps & Cloud Technologies Expertise in any one of AWS/Azure/GCP Strong working knowledge of Kubernetes Expertise with infrastructure automation tools like Terraform/Pulumi/ Cloudformation, etc Strong debugging/troubleshooting skills. Deep working knowledge of Linux servers and networking Hands-on knowledge of any one of - Python, Shell, Go or Java Experience with monitoring solutions like DataDog, NewRelic, ELK, Prometheus/Grafana Familiarity with modern cloud development practices (microservices architectures, REST interfaces, etc.) Passion to work on an exciting, fast-paced environment.

This role is for one of Weekday's clients Salary range: Rs 9000000 - Rs 13000000 (ie INR 90-130 LPA) Min Experience: 9 years Location: Remote (India) JobType: full-time Requirements Responsibilities: Develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7 Produce a high-quality framework that is thoroughly tested, code reviewed, and resilient, and improves upon developer productivity Provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute large-scale, cross-functional, and cross-team critical projects Mentor junior engineers, grow their capabilities to the next level, and spread your expertise for a stronger engineer team practice of mentorship and sponsorship. Maintaining relationships and developing a positive team culture Scale distributed applications, make architectural trade-offs applying relevant design patterns, write high-quality code, and deliver business impact through fast iteration Provide objective and helpful quarterly performance feedback for engineers. Outcomes: Impact customer metrics: Have a strong understanding of what the most important customer metrics are and achieve a big impact for improvement by working with Product Managers and through multiple agile iterations Tech lead projects: Become the recognized subject matter that your team owns, set up team technical roadmap with managers, and lead the execution Strong productivity: Demonstrate strong productivity for fast iteration to impact core metrics even under challenging code bases High-quality implementations: deliver high-quality implementations and act as an example of engineering excellence within the team Communication: Achieve alignment with cross-team stakeholders for squad planning Scalable and reliable systems: Architect and develop services that are highly available and scalable with proper monitoring and alerting in place. Requirements: Strong background in working with MongoDB at scale Interest in building features with performance, accessibility, and scalability in mind Strong product sense with the ability to negotiate the right MVP Ability to write comprehensive, well-structured, highly performant code Robust understanding of working on message queues and background jobs Monitoring and Metrics gathering (GCP Logs, Prometheus, NewRelic). Nice to Have: Bachelor's degree in Computer Science, similar technical field of study, or equivalent practical experience 10 years of relevant work experience in software development Experience in software development using a general-purpose programming language (e. g., Java, Python, Ruby, etc) Experience working on 3rd party API integrations, with error handling, rate limiting, and monitoring