AWS Services Jobs in Gurgaon

Job Summary: Senior Application Specialist Location: Gurgaon, India Grade Level: 10 Department: Operations Group Company: S&P Global Market Intelligence Overview: As a Senior Application Specialist, you will play a pivotal role in delivering expert-level application support for thinkFolio, S&P Global s portfolio management software. You will be the primary liaison for troubleshooting and resolving client issues, maintaining service excellence, and contributing to documentation and process improvements. This role offers extensive cross-functional collaboration and interaction with global clients in the banking, asset management, and hedge fund industries. Key Responsibilities: Serve as a product expert for thinkFolio, offering technical and functional support to clients. Troubleshoot and resolve complex client issues efficiently, escalating when necessary. Manage incoming support requests, ensuring SLAs are met while maintaining clear communication. Document client issues, resolutions, and communication using internal support systems. Collaborate with global teams across business lines and senior management for knowledge sharing and resolution tracking. Contribute to the creation and maintenance of user manuals, troubleshooting guides, and knowledge base content. What You Bring: Education: Bachelor s degree in Computer Science, Information Technology, or related field. Experience: 5+ years in enterprise software support; experience in financial services or investment systems is preferred. Technical Skills: Proficiency in SQL, scripting languages, and data analysis tools. Soft Skills: Strong analytical, problem-solving, and communication skills. Ability to multitask and prioritize under pressure. Mindset: Customer-first attitude with an aptitude for learning new financial technologies and sharing knowledge. What s In It for You: Accelerated growth through exposure to enterprise software used by global financial institutions. Cross-regional collaboration and learning opportunities in a high-impact environment. Access to continuous learning, competitive compensation, wellness programs, and family-friendly benefits. The chance to be part of a global, inclusive organization driven by Integrity, Discovery, and Partnership. About S&P Global Market Intelligence: A division of S&P Global, we provide essential data, insights, and technology that enable clients to make confident decisions. We empower businesses to track markets, manage risk, and identify opportunities in a fast-changing global environment. Qualification : Bachelors degree in Computer Science, Information Technology, or related field.

Backend Engineer Location: Gurugram, India Type: Full-Time Experience: 1 2 Years Category: Technology About Investwell Investwell (Excel Net Solutions Pvt. Ltd.) is India s leading enterprise software provider for financial planners. We empower top advisors across the country to deliver smarter investment strategies by offering tools that help rebalance portfolios, execute high volumes of transactions, and track financial goals. If you're passionate about building tech that transforms the way people invest, we d love to have you on our team. Role Overview We are seeking a motivated and skilled Backend Engineer with a strong foundation in server-side development, API design, and system architecture. As part of our backend team, you will help design and build scalable systems that power critical components of our platform and drive financial decision-making for millions of investors. Key Responsibilities Develop and maintain robust RESTful APIs. Build dynamic, high-performance backend systems using modern frameworks and tools. Ensure high-speed, low-latency server response times. Design and implement various types of data stores relational, document-based, key-value, or graph. Integrate indexing systems and messaging queues as needed. Deploy, monitor, and maintain applications on cloud infrastructure (AWS, Azure, Heroku). Participate in technical design discussions and document solutions. Work closely with frontend developers and product teams to deliver features end-to-end. Required Skills & Experience 1 2 years of backend development experience. Proficient in Node.js, Express.js, and JavaScript. Solid understanding of MySQL, MongoDB, and Elasticsearch. Experience in database design and system architecture. Familiarity with modern web application architecture and cloud services (AWS, Azure, or Heroku). Basic understanding of Docker and containerized applications. Strong problem-solving and algorithmic thinking. B.Tech in Computer Science or equivalent practical experience. Nice to Have Exposure to other backend languages like Python or Java. Hands-on experience with messaging systems like RabbitMQ, Kafka, etc. Some DevOps experience or familiarity with CI/CD pipelines. Perks & Benefits 5-day work week with flexible timings. Free group medical insurance for permanent employees (coverage up to 3 Lakhs). Free consultations with certified financial planners for your personal financial journey. Expert guidance to kickstart your own investment planning. Regular fun activities and a collaborative work culture. As part of Investwell, you ll contribute to software that directly impacts how India invests. You'll gain hands-on experience in building scalable fintech systems, and work alongside experienced engineers and financial experts on industry-leading tools. Qualification : B.Tech in Computer Science or equivalent practical experience.

Job Title: Software Engineer (Fullstack/NodeJs/ReactJs) | Gurgaon, Haryana Location: Gurgaon, Haryana, India Job Type: Full-time Company: Shipsy About Shipsy At Shipsy, we are on a mission to revolutionize the global logistics industry with cutting-edge technology. Over the last 6 years, Shipsy has secured a dominant share of the Indian logistics market, with 30% of India's courier and express industry flowing through our system. We're rapidly expanding into international markets, including Saudi Arabia, UAE, North Africa, and Southeast Asia. Shipsy is transforming global trade, traditionally bogged down by emails and Excel files. Our SaaS platform is helping businesses manage all aspects of international trade, including vendor rate procurement, digital workflows for documentation, integrations with global shipping lines for end-to-end visibility, and AI-based invoicing reconciliation. Shipsy tracks approximately 10% of India's global trade, improving efficiency and reducing costs for the top exporters and importers in the country. Backed by Sequoia Capital's Surge and Info Edge, with $8M in funding, we are growing rapidly and expanding our footprint as the go-to platform for managing international trade. Role Overview: Software Engineer (Fullstack/NodeJs/ReactJs) As a Software Engineer at Shipsy, you will be building the core technology that powers our platform, enabling businesses to operate more efficiently. You'll collaborate closely with the founders and other key stakeholders to develop both existing and future features. Your contributions will directly impact hundreds of businesses that rely on our platform for seamless operations and help drive our expansion into new markets. We re looking for a builder of the first order someone who thrives on creating things from scratch and loves the challenge of solving complex, real-world problems. In a startup environment, no day will be the same, and you'll wear many hats, working across different technologies and collaborating with clients, all while helping shape the product's direction. What You'll Do: Full-Stack Development: Work with a variety of systems, stakeholders, and technologies to develop features from design to delivery, ensuring that each component is scalable and efficient. Solve Complex Problems: Tackle challenging issues related to system design, scalability, and performance, ensuring our platform can handle millions of transactions efficiently. Code Quality and Standards: Maintain high engineering standards, ensuring the code you write is consistent, clean, and easily maintainable. Participate in code reviews to maintain quality across multiple codebases. Scalable Distributed Systems: Build scalable, reliable, and efficient distributed systems using microservices architecture to support a traffic-heavy, SaaS-based product. UI/UX Design & Development: Design and implement scalable component libraries and tools, solving complex design challenges, including browser compatibility issues, using modern technologies like React, Redux, Webpack, and TypeScript. Contribute to Product Roadmap: Actively contribute to the technical and product roadmap, ensuring alignment with overall company goals and user needs. Cross-functional Collaboration: Work closely with design, product, and dev teams to create seamless user experiences and drive the success of the platform. Qualifications: Experience: 2+ years of hands-on experience building web applications using Node.js and React.js. Technical Proficiency: Strong understanding of software construction, responsive web design, and development with technologies like ES6, React, Redux, Webpack, and Node.js. Full-Stack Expertise: Solid experience with both front-end and back-end technologies, including databases like PostgreSQL and MongoDB, and web services such as RESTful APIs. Problem-Solving & Curiosity: Strong passion for learning and exploring new technologies, platforms, and problem domains. You should enjoy diving deep into technical challenges, even in unfamiliar areas. Attention to Detail: Strong product and design sensibilities with an obsessive attention to detail, ensuring the best possible user experience. Code Quality: Ability to write testable, maintainable, and easy-to-understand code. Collaboration & Ownership: Demonstrated ownership of projects with clear communication and collaboration skills, ensuring timely and successful delivery. Technologies: Experience with Node.js, JavaScript, React.js, PostgreSQL, MongoDB, Git, Linux, Amazon Web Services (AWS), and web technologies. Education: A degree in Computer Science or related fields is a bonus. Innovative Work Culture: Join a rapidly growing tech-driven company and be part of a team that s transforming logistics and international trade. Growth Opportunities: Shipsy offers continuous learning and professional development opportunities, as well as hands-on experience in a fast-paced startup environment. Competitive Compensation & Benefits: Enjoy a competitive salary, performance-based incentives, and world-class employee benefits. Impactful Work: Your contributions will directly influence the future of logistics technology, helping businesses around the world streamline their operations. If you are passionate about building innovative software solutions and want to make a meaningful impact in the logistics tech space, Shipsy is the place for you. Join our team and help us shape the future of global trade.

Senior Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 6-8 Years About FinBox FinBox is a cutting-edge fintech company that is reshaping how financial services are provided to businesses and consumers. Since our launch in 2017, we ve developed some of the most innovative technologies in the financial services space, enabling lenders such as Banks, NBFCs, and large enterprises to create and launch credit products in just days. As a Series A-funded company, we are expanding globally with offices in India, Vietnam, Indonesia, and the Philippines. Our mission is to build the best-in-class infrastructure for lending products, helping financial services companies scale and launch credit programs that set new standards in the era of digital finance. We've helped our clients disburse billions of dollars in credit, covering a wide range of unsecured and secured products like personal loans, business loans, mortgages, and education loans. We ve made a significant impact, supporting over 100 companies and serving millions of customers every month. Why You Should Join FinBox: Innovative Environment: We foster a culture of creativity and experimentation, encouraging our team to push the boundaries of what s possible in fintech. Impactful Work: Your work will directly influence millions of lives by making credit more accessible to individuals and businesses. Growth Opportunities: As a Series A-funded startup, we offer numerous opportunities for professional development and career advancement. Collaborative Culture: Be part of a diverse, inclusive team of experts who are passionate about making a difference and supporting each other. Role Overview: As a Senior Data Scientist at FinBox, you will work at the intersection of data and business, helping to deliver impactful solutions in the lending space. You will be responsible for analyzing large datasets, extracting meaningful insights, and applying advanced data science techniques to improve products and drive business results. Key Responsibilities: Data Analysis & Insights Generation: Analyze big data to produce actionable insights that directly contribute to product improvements and business outcomes. Model Building & Experimentation: Develop and deploy algorithms to extract useful information from large datasets. Use statistical analysis and machine learning techniques to create predictive models. Data Visualization & Reporting: Create interactive dashboards and visualizations to help monitor key metrics and inform stakeholders. Automate report generation using data visualization tools. Collaborate with Teams: Work closely with business teams to translate customer requirements into problem definitions and develop algorithmic solutions to address business challenges. Data Processing & Pre-processing: Gather, clean, and preprocess relevant data for insight generation and model building. Present Complex Results: Distill complex analysis into simple, clear visualizations and explanations for stakeholders at all levels. Apply Data Science Techniques: Use techniques such as exploratory data analysis (EDA), regression analysis, decision trees, clustering, survival analysis, and more. Continuous Improvement: Apply iterative analytics to steer the continuous improvement of products and algorithms. Who You Are: Analytical Thinker: You have strong analytical skills and a passion for deriving actionable insights from complex data. Technical Proficiency: Proficient in Python, R, SQL, and Excel. Familiarity with AWS and Git is highly preferred. Data Science Knowledge: Solid understanding of statistical concepts, machine learning models, and algorithms. Knowledge of data science tools and techniques for large-scale data analysis. Data Visualization Expert: You can create clear and impactful visualizations to communicate findings effectively. Problem Solver: You thrive on tackling ambiguous problems and developing innovative solutions that directly impact the business. Collaborative: You enjoy working in a team environment and are able to translate technical concepts into business-friendly language for diverse audiences. Desired Qualifications: 6-8 years of experience in data science with a focus on machine learning and statistical modeling. Expertise in Python, R, SQL, and Excel for data analysis and visualization. Experience with AWS, Git, and other cloud-based technologies. Solid understanding of statistical concepts, machine learning algorithms, and model deployment. Experience with data visualization tools and creating dashboards. Ability to effectively communicate complex results to non-technical stakeholders. Innovative Culture: At FinBox, we love disruption and creativity. Here, you can take ownership and contribute ideas that directly impact our product and the industry. Global Impact: Work on high-impact projects with global customers, improving access to credit for millions. Career Growth: FinBox offers a fast-paced, dynamic environment where you can rapidly grow your career. Collaboration & Diversity: Join a team of talented, passionate people who value collaboration and diverse perspectives. If you re ready to make a real difference in fintech and enjoy solving complex problems with data science, apply now to be part of the FinBox team!

Principal Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 8-11 Years About FinBox FinBox is at the forefront of transforming the financial services industry with our innovative technologies. Since our inception in 2017, we have empowered lenders, such as Banks, NBFCs, and large enterprises, to build and launch credit products quickly within days rather than months or years. As a Series A funded company, we re expanding globally with offices in India, Vietnam, Indonesia, and the Philippines. Our mission is to build world-class infrastructure for lending products, helping financial services companies scale and launch credit programs that set a new standard in digital finance. We've already helped our customers disburse billions of dollars in credit across unsecured and secured credit, including personal loans, working capital loans, business loans, mortgages, and education loans, impacting over 5 million customers every month. Why You Should Join FinBox: Innovative Environment: We cultivate creativity and experimentation. We want you to challenge the status quo and push boundaries in fintech. Impactful Work: Your contributions will have a direct, positive impact on millions of lives, making credit more accessible to individuals and businesses globally. Growth Opportunities: As a Series A-funded startup, FinBox provides tremendous opportunities for career development and professional growth. Collaborative Culture: Join a diverse, inclusive, and highly skilled team, all passionate about making a meaningful difference in the fintech world. Role Overview: As a Principal Data Scientist at FinBox, you will play a critical role in driving data science initiatives and shaping the direction of data-driven decision-making. You will leverage your deep expertise in machine learning and statistics to design and deploy predictive models, optimize algorithms, and lead experimentation processes that directly impact our products and business strategies. You will work closely with cross-functional teams to translate business requirements into data-driven solutions and collaborate on deploying models at scale. Key Responsibilities: Data Analytics & Insights: Analyze large, complex datasets to generate insights that drive business growth and measure the impact of business decisions. Model Development & Experimentation: Design, build, and deploy predictive models, using machine learning techniques such as regression, clustering, decision trees, and survival analysis. Algorithm Development: Optimize algorithms to process data efficiently, supporting better decision-making across the business. A/B Testing & Experimentation: Lead A/B testing and other experimentation methodologies to refine products and optimize business strategies. Data Visualization & Reporting: Create automated dashboards and reports using visualization tools like Tableau or Power BI to clearly communicate insights to stakeholders. End-to-End Data Processing: Manage the full lifecycle of data processing from gathering and cleaning data to creating models and deploying them in production. Stakeholder Collaboration: Collaborate with product, engineering, and business teams to translate business needs into data-driven solutions. Model Deployment: Ensure that machine learning models are effectively deployed at scale and optimized for real-time business applications. Who You Are: Experience: 8+ years of experience in data science, with a proven track record in the finance or fintech industry. Technical Expertise: Strong proficiency in Python, R, SQL, and Excel for data analysis, model development, and automation. Cloud & Version Control: Proficiency in AWS for cloud-based deployment and Git for version control. Advanced Data Science Skills: Expertise in statistical methods and machine learning techniques including regression, clustering, decision trees, bootstrapping, and survival analysis. Data Visualization: Extensive experience with data visualization tools like Tableau, Power BI, or open-source libraries (e.g., Matplotlib, Seaborn). Problem Solving & Communication: Strong problem-solving skills with the ability to distill complex models into actionable insights for business stakeholders. Deployment Experience: Experience in deploying and maintaining machine learning models at scale, focusing on automation, real-time analytics, and continuous improvement. Innovative Culture: Join a team that is dedicated to pushing the boundaries of what is possible in fintech, with an environment that fosters creativity and experimentation. Global Impact: Your work will directly influence the future of financial services, helping millions of customers access fair and accessible credit. Career Growth: As a growing startup, FinBox offers substantial opportunities for personal and professional growth. Collaborative Team: Work with a team of talented, driven professionals who believe in collaboration, inclusivity, and shared success.

Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 3-6 Years About FinBox: Where Fintech Meets Fun! Welcome to FinBox, where technology, innovation, and creativity meet to revolutionize financial services. Since our inception in 2017, we've been on a mission to transform the lending industry by helping lenders like Banks, NBFCs, and enterprises launch credit products faster than ever before. As a Series A funded company, we are growing rapidly with offices in India, Vietnam, Indonesia, and the Philippines. Our vision is to build world-class infrastructure for lending products that help banks and financial services companies scale globally. We've already helped customers disburse billions of dollars in both unsecured and secured credit, and our solutions are used by over 100 companies, impacting over 5 million customers monthly. Innovative Environment: We encourage creativity and experimentation, pushing the boundaries of what's possible in fintech. Impactful Work: Your contributions will directly impact the lives of millions, making credit more accessible. Growth Opportunities: As a growing Series A startup, we offer ample opportunities for professional development. Collaborative Culture: Join a diverse and supportive team that values different perspectives. Creative Thinkers: We love people who challenge the norm and bring fresh, out-of-the-box ideas. Customer Heroes: We need those who understand customer needs and go above and beyond to deliver exceptional experiences. Team Players: If you thrive in a collaborative environment and believe in the power of "we," you'll fit right in. How You'll Contribute to Our Data Science Team: Analyze structured and unstructured data to derive meaningful insights. Support predictive model development and statistical analyses to guide product decisions. Build dashboards and visualizations to monitor and report key business metrics. Assist in data gathering, pre-processing, and cleaning to maintain high-quality datasets. Conduct exploratory data analysis and hypothesis testing to enable data-driven decision-making. Automate reports and develop clear, effective data visualizations. Document data processes and findings in a structured, presentable format. Collaborate with cross-functional teams to translate business needs into actionable data-driven solutions. Apply foundational machine learning techniques, including regression analysis, clustering, and decision trees. Who You Are: Experience: 3+ years in data science, analytics, or a related field. Technical Skills: Strong proficiency in Python/R, SQL, and Excel for data manipulation and analysis. Visualization: Experience with tools like Tableau, Power BI, or similar for data visualization. Additional Skills: Familiarity with AWS, Git, and version control practices is a plus. Knowledge: Understanding of statistical concepts and basic machine learning models. Mindset: Eagerness to learn, experiment, and grow in a fast-paced, dynamic startup environment.

Key Responsibilities: Responsible for design, development, testing, troubleshooting, measurement, optimization, and improvement of software, new products, and code libraries across platforms. Partners with cross-functional experts (Product Management, Sales, Design, etc) to determine customer-focused solutions. Leverage best practices, articulate ideas, & markets them across team and organization. Promotes a culture of continuous learning. Leads application/framework/service design efforts, optimizing for quality, testing, and scale. Communicates clearly with team and management to define & achieve goals. What you will need to succeed: B.S. in Computer Science or equivalent engineering degree 7+ years of experience designing and developing web or software application Proven expertise in designing, developing scalable, maintainable, performant, and resilient application. Proven expertise in Java, OOP Principals, clean Design, and Design patterns OR Expert understanding of JQuery, AngularJS, ReactJS, AmberJS and NodeJS Experience in designing and implementing micro-services and RESTful services Expertise with RDBMS (PostgreSQL, MySQL) and NoSQL Database ES, Cassandra, MongoDB. Working Experience with Spring Framework, Kafka, Hibernate, Maven, Ant, Restful Webservices Experience working in Scala or Python is plus Expertise in build management systems and Continuous Integration and Deployment methodologies (Jenkin, Spinnaker, Kubernetes etc) Working knowledge of AWS infrastructure EC2, Auto Scaling, RDS, ELB, S3, Kinesis Qualification : B.S. in Computer Science or equivalent engineering degree.

Job Title: Backend Engineer (Java/Spring) About the Role: We are looking for an experienced and highly motivated Backend Engineer to join our fast-growing startup. As a key player in our engineering team, you will work on building high-quality, scalable backend systems that power our products. You ll be solving complex challenges, writing efficient and performant code, and ensuring that our applications run seamlessly in a fast-paced environment. A Great Fit for This Role: Thrives in Startups: You re excited about working in a fast-paced, start-up environment, where you ll have the opportunity to directly impact the development of our products. Strong Analytical Skills: You have an aptitude for quickly understanding new concepts and systems, proposing and implementing solutions. Hands-On Engineer: You are passionate about backend technologies like Java and Spring Boot, and you love building resilient, performant systems. Time-Sensitive Deliveries: You have a proven track record of delivering projects in an environment where quick fixes and solutions are needed daily. Code Quality & Performance: You care deeply about code quality, performance, and execution, and you understand how to write efficient code that scales. Problem Solver: You're someone who can quickly identify issues and solve them in real-time. Key Responsibilities: Backend Development: Develop and maintain backend systems using Java/Spring Boot, ensuring scalability, reliability, and performance. API Design & Development: Design, implement, and optimize RESTful APIs to support various client needs and internal systems. Database Management: Work with relational databases (PostgreSQL, MySQL) to ensure data integrity, optimize queries, and improve system performance. Messaging & Integration: Integrate with messaging systems like RabbitMQ, Elastic Search, and Kafka for efficient and scalable data communication. Cloud Infrastructure: Work with AWS and other cloud services to deploy, scale, and manage backend applications. Continuous Integration: Implement CI/CD pipelines using tools like Jenkins, Kubernetes, etc., to ensure smooth and rapid deployment cycles. Code Quality & Testing: Write and maintain high-quality, well-tested code, ensuring reliability and resilience in production environments. Collaboration: Collaborate with cross-functional teams to design, build, and deliver robust backend systems that meet business needs. Must-Have Skills and Experience: Java/Spring Boot: 4+ years of hands-on experience in backend system development using Java/Spring Boot. Core & Advanced Java: Expert understanding of Core and Advanced Java programming. Databases: Strong experience working with relational databases (PostgreSQL, MySQL). NodeJs & MongoDB: Experience with NodeJs and MongoDB is a plus. Messaging & Stream Processing: Experience working with RabbitMQ, Elastic Search, Kafka. Cloud Computing: Experience with cloud services such as AWS. CI/CD Pipelines: Familiarity with continuous integration and deployment methodologies (Jenkins, Kubernetes, etc.). Software Design Principles: Strong understanding of software design principles, patterns, and frameworks. Linux Proficiency: Proficient in working within a Linux environment. Education: Bachelor s or Master s degree in Computer Science or related field from Tier-I/Tier-II colleges. What You ll Bring to the Team: A passion for backend technologies, especially Java/Spring, and a strong desire to build scalable, efficient systems. A deep understanding of backend development, database management, and cloud services. A focus on code quality and performance, with an understanding of Big O notation and optimization techniques. An ability to work independently and as part of a collaborative, cross-functional team. Excellent problem-solving skills and the ability to think on your feet in a high-pressure environment. Perks and Benefits: Competitive salary and performance-based incentives. Opportunity to work with cutting-edge technologies and solve complex problems. Flexible working hours and remote work options. Work in a dynamic, growth-oriented environment where your contributions make a direct impact. If you re an experienced backend engineer who thrives in a fast-paced environment and is passionate about building scalable, reliable systems, we d love to have you on board! Qualification : Bachelors/Masters degree in Computer Science from tier-I/tier-II colleges only.

Job Title: Full Stack Developer (JavaScript, Node.js, React, AngularJS) About the Role: We are looking for an experienced and self-driven Full Stack Developer who is passionate about working in a fast-paced startup environment. As part of a small, talented team, you will be responsible for both front-end and back-end development, writing high-performance and scalable code, and solving complex challenges in a timely manner. If you're someone who thrives in a dynamic, time-sensitive environment and loves building solutions that make an impact, this role is for you. A Great Fit for This Role: Excited About Startups: You re passionate about working in a startup and contributing to a highly talented and agile team. Strong Analytical Skills: You re able to quickly understand new technologies, navigate unknown challenges, and implement practical solutions. Hands-On Engineer: You love to design and develop solutions, writing clean, maintainable, and efficient code for both the front-end and back-end. Fast-Paced Environment: You thrive in a high-pressure, fast-paced environment where solutions are delivered rapidly rather than on a weekly/monthly cycle. Proven Track Record: You have experience delivering projects under time-sensitive conditions and enjoy solving problems on the fly. Passion for Full-Stack Technologies: You are proficient in modern JavaScript-based front-end and back-end technologies, and relational/analytical databases. Key Responsibilities: Full-Stack Development: Design and develop both front-end and back-end systems using technologies such as Node.js, React, AngularJS, and relational/NoSQL databases. Solution Design: Write clean, high-quality, scalable, and maintainable code for the overall application architecture. API Development: Build, optimize, and maintain RESTful APIs to ensure smooth communication between client and server-side applications. Database Management: Design and optimize relational (PostgreSQL, MySQL) and NoSQL (MongoDB) databases for performance and scalability. Collaboration: Work closely with cross-functional teams to define and deliver new features and improvements, while maintaining high standards of code quality. Performance Optimization: Optimize both front-end and back-end performance, ensuring a seamless and fast user experience. Time-Sensitive Deliveries: Ensure the timely delivery of projects and handle issues in real-time, meeting daily targets and deadlines. Must-Have Skills and Experience: JavaScript & Modern Frameworks: 3-4 years of experience working with Node.js or React and AngularJS/JavaScript for front-end and back-end development. Database Expertise: Expertise with relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB). Strong Understanding of Full-Stack Development: Proven experience in both front-end (React/AngularJS) and back-end (Node.js) technologies. Code Quality & Performance: Ability to write clean, efficient, and scalable code that performs well at scale. Education: Bachelor s/Master s degree in Computer Science from Tier-I/Tier-II colleges only. Nice to Have: Experience with Messaging Systems: Familiarity with RabbitMQ and Elastic Search for scalable and efficient data processing. Cloud Services: Experience with AWS services and cloud-based application deployment. CI/CD Practices: Familiarity with continuous integration and deployment methodologies (e.g., Jenkins, Kubernetes). Linux Proficiency: Comfortable working in a Linux environment for development and deployment. What You ll Bring to the Team: A passion for full-stack development and hands-on coding. Strong experience in building scalable applications with modern JavaScript frameworks and databases. A deep understanding of designing solutions that prioritize performance, maintainability, and scalability. A proactive approach to problem-solving, with the ability to work in an agile and fast-paced environment. The ability to collaborate effectively with team members and contribute to a culture of continuous improvement. Perks and Benefits: Competitive salary and performance-based incentives. Opportunity to work on cutting-edge technologies and solve complex engineering challenges. Work in a fast-paced, growth-oriented environment where you can directly impact the product and business. Flexible working hours and remote work options. If you re an experienced Full Stack Developer passionate about working in a dynamic, high-growth startup, we d love to hear from you! Qualification : Bachelor's/Masters degree in Computer Science from tier-I/tier-II colleges only.

About KPMG in India KPMG in India is a professional services firm, affiliated with KPMG International Limited. Established in August 1993, KPMG India leverages its global network of firms while being deeply knowledgeable about local laws, regulations, markets, and competition. We have offices across India in cities including Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara, and Vijayawada. Our services cater to both national and international clients across various sectors. We are committed to providing rapid, performance-oriented, industry-focused, and technology-enabled services that combine a deep understanding of both global and local industries, along with our extensive experience in the Indian business environment. Role: Snowflake + AWS Expertise Job Description: This role involves working with Snowflake and AWS platforms, focusing on providing scalable, high-performance solutions. The ideal candidate will help deliver industry-leading data solutions by leveraging these powerful platforms. Equal Employment Opportunity (EEO) Information KPMG India is an equal opportunity employer, committed to providing opportunities to all applicants and employees, regardless of color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability, or any other legally protected status. We value diversity and encourage you to voluntarily submit demographic information to help us with our diversity efforts. Please note that providing this information is optional and will not affect your application in any way. Qualifications: Educational Requirements: B.E. or equivalent degree. Qualification : B.E. or equivalent degree.

Java Developer - CorpTech Company Overview Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world s most sophisticated financial institutions. We constantly innovate our platform and capabilities to meet tomorrow s challenges, anticipate the risks our clients encounter, and design advanced solutions to help our clients achieve transformational business outcomes. Financial technology is a high-growth industry as change and innovation continue to disrupt the status-quo and prompt major transformation. Arcesium is at a particularly interesting time in our own growth as we look to leverage our successfully established market position and expand operations in pursuit of strategic new business opportunities. We value intellectual curiosity, proactive ownership, and collaboration with colleagues, and we empower you to meaningfully contribute from day one and accelerate your professional development. Arcesium is a global financial technology and services company providing cloud-native software and services designed to revolutionize asset management operations. We help our clients power innovation, optimize workflows, and mitigate operational complexity. We are seeking a talented Java Developer to join our CorpTech team, focusing on Java development and full stack application development. The role involves designing and developing scalable backend systems while contributing to user-friendly front-end interfaces for enterprise-grade solutions. The ideal candidate should be a strong problem-solver, passionate about building robust applications, and skilled in both backend and frontend technologies. Key Responsibilities (Must Haves): Design, develop, and maintain Java-based backend services for internal applications. Develop scalable full stack applications, integrating front-end components with powerful backend services. Collaborate with cross-functional teams, including product managers and UX designers, to gather requirements and develop software solutions. Build responsive, performant, and visually appealing user interfaces using modern web frameworks. Ensure code quality, security, scalability, and maintainability. Participate in all phases of the software development lifecycle, including architecture, coding, testing, and deployment. Identify and troubleshoot production issues for seamless operational continuity. Qualifications: Bachelor s or master s degree in computer science, Engineering, or a related field. Deep expertise in Java, including concurrency, collections, streams, and JVM internals. Ability to write high-performance, scalable, and maintainable code. Strong knowledge of design patterns and SOLID principles, with the ability to apply them effectively. Extensive experience working with and improving large codebases, including code organization, dependency management, and long-term maintainability. Comfortable owning and refactoring legacy code. Proficient in debugging and performance optimization, including diagnosing memory leaks, concurrency issues, and inefficient queries. Experience with tools like JProfiler, YourKit, or VisualVM. Hands-on experience with databases and SQL (MSSQL), including query optimization, indexing strategies, and in-depth knowledge of ORMs. Proficiency in Spring Boot, Hibernate, and relational databases such as PostgreSQL or MySQL. Experience with front-end frameworks like React.js, Angular, or similar modern JavaScript frameworks. Familiarity with monitoring, logging, debugging, and profiling tools. Strong understanding of RESTful APIs and web services. Experience with database query analysis and fine-tuning. Proficiency with tools such as Git, Maven/Gradle, and CI/CD pipelines. Excellent debugging, problem-solving, and analytical skills. Preferred Skills: Experience with microservices architecture. Familiarity with cloud technologies (AWS, GCP, etc.). Knowledge of containerization tools (Docker, Kubernetes). Understanding of security principles in web applications. Arcesium and its affiliates do not discriminate in employment matters on the basis of race, color, religion, gender, gender identity, pregnancy, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other category protected by law. Note that for us, this is more than just a legal boilerplate. We are genuinely committed to these principles, which form an important part of our corporate culture, and are eager to hear from extraordinarily well qualified individuals having a wide range of backgrounds and personal characteristics. Qualification : Bachelors or masters degree in computer science, Engineering, or a related field.

Job Description: We are seeking a Data Engineer experience in data and analytics, proficient in big data technologies, data architecture, and customer-focused solutions. The ideal candidate will design and implement data pipelines, data lakes, and visualization solutions to create business value. Software Requirements: AWS Redshift Kubernetes Spark Python SQL DBT Dataiku Overall Responsibilities: Design and implement data pipelines, data lakes, and visualization solutions to create business value. Develop and maintain big data solutions using technologies like AWS Redshift, Kubernetes, Spark, Python, SQL, DBT, and Dataiku. Apply best practices in data architecture, modeling, and metadata management. Analyze and troubleshoot complex data issues, ensuring timely resolution. Collaborate with stakeholders to understand data requirements and deliver customer-focused solutions. Category-wise Technical Skills: Big Data Technologies: Proficiency in AWS Redshift, Kubernetes, Spark, Python, complex SQL, DBT, and Dataiku. Data Architecture & Modeling: Strong understanding of data architecture, modeling, and metadata management. Experience in designing and managing data pipelines and data lakes. Data Analysis & Troubleshooting: Excellent data analytical and troubleshooting skills. Ability to analyze and resolve complex data issues in a timely manner. Experience: 6-8 years of experience in data and analytics. Proven track record of developing and maintaining big data solutions. Day-to-Day Activity: Design, develop, and implement data pipelines and data lakes. Maintain and optimize big data solutions using various technologies. Apply best practices in data architecture and modeling. Analyze and troubleshoot data issues to ensure data integrity and availability. Collaborate with stakeholders to gather requirements and deliver data solutions. Stay updated with emerging trends in data and analytics. Qualifications: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. Relevant certifications in big data technologies and data engineering are a plus. Soft Skills: Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Customer-focused approach with the ability to understand and meet stakeholder needs. Attention to detail and strong organizational skills. Ability to work independently and as part of a team. S YNECHRON S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. Qualification : Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.

About Shiprocket: At Shiprocket, we are on a mission to make e-commerce simple, accessible, and trustworthy. We empower e-commerce sellers with AI-driven technology and reliable services, covering everything from conversion and order fulfillment to shipping, customer communication, and returns management. Our platform scales data, workflows, and supply chains, providing sellers with everything they need to deliver an exceptional customer experience. What It s Like to Work at Shiprocket: Our culture is built on the following principles: Key to True Innovation: We thrive under constraints and use them as opportunities to innovate. Speed Above All Else: We prioritize quick decision-making and actions that make the most impact. Be Ruthlessly Frugal: Efficient use of resources drives growth. Say It Like It Is: We value honesty and directness in communication. We re Not A Family, We re A Sports Team: We are here to win and accomplish great things together. Customer-First Mentality: Our focus is always on delivering outstanding experiences for our customers. Role Overview: Shiprocket s Engineering Team is focused on driving innovation and excellence within the e-commerce and logistics industries. We are dedicated to developing cutting-edge technology solutions that empower businesses to scale efficiently, optimize operations, and deliver outstanding customer experiences. With a focus on automation, data-driven decision-making, and seamless integrations, we aim to revolutionize how merchants, customers, and logistics providers interact. We are looking for a Data Analyst with 2-6 years of experience to help support our diverse business units (Finance, Product, Operations, Marketing, etc.) by leveraging insights derived from analyzing large datasets. The ideal candidate will be proficient in data mining, analytical methods, data tools, and model development and implementation. Roles and Responsibilities: Data Preparation & Analysis: Gather and analyze data to generate reports that provide actionable insights to business teams. Support the strategic planning of new AI or data-centric products. Insight Generation: Analyze key metrics and performance indicators to identify the root causes of inefficiencies or defects in processes, helping teams drive improvements. Collaboration with Business Teams: Collaborate proactively with various internal business teams to enhance project outcomes, focusing on optimizing resource utilization and ensuring timely completion. Report Creation: Build and maintain reports that communicate key findings and trends clearly to management, facilitating data-driven decision-making. Continuous Improvement: Recommend and implement improvements based on data insights, contributing to better operational efficiencies. Preferred Skills & Qualifications: Business & Statistical Acumen: Ability to translate business questions into statistical solutions and communicate insights effectively. Data Analytics Proficiency: Expertise in SQL, PL/SQL, BigQuery, and Snowflake. Experience in scripting languages like Python is highly desirable. Analytical Tools & Methodologies: Strong understanding of OLTP/OLAP databases, data analytics tools, and methodologies. Hands-on experience in data mining and statistical modeling. Data Visualization Skills: Experience with tools such as Metabase (preferred) and advanced Excel to present data insights in an accessible format. Cloud Services Knowledge: Familiarity with AWS services is a significant advantage. Problem-Solving: Proactive mindset with the ability to identify challenges and develop practical solutions to improve processes and drive business results. At Shiprocket, we offer a dynamic, fast-paced work environment where you ll have the opportunity to make a significant impact. You'll work alongside a talented team that embraces innovation, prioritizes customer satisfaction, and continuously pushes the envelope to redefine e-commerce logistics.

Job Title: Cloud Target Operating Model Consultant Location: Gurgaon About Capgemini Invent: Capgemini Invent is the digital innovation, consulting, and transformation brand of the Capgemini Group, a global business line that combines market-leading expertise in strategy, technology, data science, and creative design. We help CxOs envision and build what s next for their businesses, focusing on delivering impactful solutions and driving sustainable change. Your Role: As a Cloud Target Operating Model Consultant, you will be responsible for designing and implementing cloud operating models that deliver innovation, agility, cost benefits, and faster time-to-market. You will work with clients to modernize their business operating models by focusing on multiple dimensions such as process, governance, skills, culture, tooling, technology, and organization. You will leverage and maximize clients existing IT investments and communicate with stakeholders at all levels of the organization to design and implement sustainable transformation strategies. Key Responsibilities: Design and implement cloud operating models to ensure innovation, agility, and cost-effectiveness. Take a holistic approach to modernize business operating models, covering processes, governance, tools, and organization. Integrate business operating models with cloud operating models. Lead the design, implementation, and management of cloud centers of excellence. Advise on the implementation of DevSecOps models, automation, and business change processes. Work with hybrid and multi-cloud environments, DevOps, CI/CD, and cloud strategy implementations (AWS, Azure, or GCP). Develop security and governance models for cloud engineering and operations. Drive IT and business automation across product management, engineering, and operations. Apply ITIL and service management principles to optimize operations. Your Profile: Experience working on at least one end-to-end Cloud Target Operating Model engagement. Solid understanding of Cloud Target Operating Models. Project experience in multiple areas such as Cloud Strategy, Business Case, DevOps, FinOps, etc. Proven ability to deliver advisory engagements, driving positive outcomes and opportunities for future work. Leadership experience in delivering large-scale, complex IT transformations aligned to clients strategic goals. Experience in implementing DevSecOps models and automation. Familiarity with hybrid and multi-cloud environments and cloud service models. What You ll Love About Working Here: We recognize the significance of flexible work arrangements. Whether remote work or flexible work hours, you will find the support to maintain a healthy work-life balance. At Capgemini Invent, your career growth is at the heart of our mission. Our wide range of career growth programs will help you explore a world of opportunities. Equip yourself with valuable certifications in the latest technologies, including Generative AI. About Capgemini: Capgemini is a global business and technology transformation partner, helping organizations accelerate their transition to a digital and sustainable world, creating a tangible impact for enterprises and society. With a global team of 340,000 members across more than 50 countries, Capgemini is trusted by clients to unlock the value of technology. Capgemini delivers end-to-end services and solutions, leveraging capabilities in AI, cloud, and data, combined with deep industry expertise. The Group reported 22.5 billion in global revenues for 2023.

Job Description: Director of Engineering About MongoDB MongoDB empowers innovators to create, transform, and revolutionize industries by harnessing the power of software and data. We enable organizations of all sizes to build, scale, and manage modern applications by modernizing legacy systems, fostering innovation, and integrating AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database available in over 115 regions across AWS, Google Cloud, and Microsoft Azure. With Atlas, customers can build and run applications anywhere on-premises or across multiple cloud providers. With a global presence and over 175,000 new developers signing up to use MongoDB every month, industry leaders such as Samsung and Toyota rely on us to develop next-generation, AI-driven applications. Role Overview MongoDB is seeking a visionary and strategic Director of Engineering to establish and scale a new engineering organization in our Gurugram office. This role will focus on building a high-performing team dedicated to developing software that enables MongoDB to run seamlessly on any infrastructure at a global scale. Our software and services empower users to deploy fault-tolerant, globally distributed MongoDB clusters in minutes. The primary objective is to enhance and expand our software for managing MongoDB clusters deployed in data centers or private cloud platforms. You will primarily work on Ops Manager and Cloud Manager products, serving enterprise users who deploy large-scale clusters and process massive amounts of data. Operating at the intersection of cutting-edge cloud technologies, distributed systems, and enterprise solutions, you will drive innovation and engineering excellence while delivering high-quality, secure software. This role is based in Gurugram as part of our hybrid working model. Ideal Candidate Profile Required Qualifications: Expert knowledge of enterprise-grade software solutions, with a deep understanding of challenges and best practices in managing complex systems in hybrid cloud and on-prem environments. 10+ years of experience leading software engineering teams, including managing multiple layers of leadership and building teams across distributed locations. Proven track record of defining and executing strategic product visions, mobilizing teams for impactful outcomes, and demonstrating strong ownership and accountability. Experience in building, evolving, and scaling enterprise or B2B software products, particularly in infrastructure management, distributed systems, or database operations, with a focus on performance, security, and reliability. Strong cloud-native expertise, including proficiency with Kubernetes, container orchestration, and modern DevOps practices, to design and deliver scalable and secure solutions. Excellent communication and leadership skills, with the ability to articulate complex technical concepts to diverse audiences, including global stakeholders and non-technical decision-makers. Commitment to fostering an inclusive and collaborative team environment, mentoring future leaders, and driving organizational growth and success. Proven ability to influence across the organization and collaborate with cross-functional teams to align engineering efforts with business priorities. Experience engaging directly with customers to understand their needs, gather feedback, and translate insights into actionable product improvements. Culture & Benefits At MongoDB, we prioritize the personal and professional growth of our employees by fostering a supportive and enriching work environment. From employee affinity groups and fertility assistance to a generous parental leave policy, we are committed to the well-being of our team members at every stage of their journey. Learn more about life at MongoDB and join us in making a meaningful impact on the world. MongoDB is an equal-opportunity employer committed to diversity and inclusion. We provide accommodations for individuals with disabilities throughout the application and interview process. If you require accommodations, please inform your recruiter. Join us at MongoDB and be part of a team driving innovation in the data space!

Job Information: Work Experience: 3+ years Industry: IT Services Job Type: FULL TIME Location: Gurgaon Key Responsibilities: Ability to drive the major incident to resolution as Incident commander and involve in the post-mortem process. Identify gaps within the current monitoring infrastructure and create/enhance tools to address them. Perform event root cause analysis using logs, tools, and available documentation. Contribute to documentation to improve resolution time. Assess the impact of the potential client or platform-wide incidents and escalate to the appropriate teams. Timely escalation of problems that could be potential risks. Experience with logging/monitoring tools (Kibana, Grafana, Prometheus, or any other standard monitoring tool). Working understanding of web infrastructure (Load balancers, application servers). Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience). 3+ Years of experience as Devops Engineer. Terraform and CI/CD configuration, pipelines, and jobs. Must have strong knowledge of Terraform. Must have experience in Python. Kubernetes understanding, CLI, service re-provisioning. Must have experience creating Helm charts and performing common k8s maintenance tasks. Minimum 3 years of experience working with containerized applications. Should have hands on experience with AWS Services. Solid understanding of system performance and monitoring. Demanding high availability of service and quality of support service to the customer. Operating system (Linux) configuration, package management, startup, and troubleshooting. Good communication skills with an ability to relay incident details expeditiously, concisely, and accurately. Strong knowledge of infrastructure and application development toward operational support. Highly motivated individual, Self-starter, and a quick learner. Extensive knowledge of Incident/Change/Problem management. Ability to write simple to moderately complex scripts and programs for automation, tools, frameworks, dashboards, alarms. (Python, TypeScript, Bash). Qualification : Bachelors/Masters degree in Engineering, Computer Science (or equivalent experience).

We are seeking a skilled and driven Senior Data DevOps Engineer with strong MLOps expertise to join our team. The ideal candidate will have a deep understanding of data engineering, automation in data pipelines, and operationalizing machine learning models. The role requires a collaborative professional capable of designing, deploying, and managing scalable data and ML pipelines that align with business goals. Responsibilities Develop, deploy, and manage CI/CD pipelines for data integration and machine learning model deployment Implement and maintain infrastructure for data processing and model training using cloud-based tools and services Automate data validation, transformation, and workflow orchestration processes Collaborate with data scientists, software engineers, and product teams to ensure seamless integration of ML models into production Optimize model serving and monitoring to enhance performance and reliability Maintain data versioning, lineage tracking, and reproducibility of ML experiments Proactively identify opportunities to improve deployment processes, scalability, and infrastructure resilience Ensure robust security measures are in place to protect data integrity and compliance with regulations Troubleshoot and resolve issues across the data and ML pipeline lifecycle Requirements Bachelor s or Master s degree in Computer Science, Data Engineering, or a related field 4+ years of experience in Data DevOps, MLOps, or related roles Strong proficiency in cloud platforms such as Azure, AWS, or GCP Experience with Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Ansible Expertise in containerization and orchestration technologies (e.g., Docker, Kubernetes) Hands-on experience with data processing frameworks (e.g., Apache Spark, Databricks) Proficiency in programming languages such as Python, with knowledge of data manipulation and ML libraries (e.g., Pandas, TensorFlow, PyTorch) Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions) Experience with version control tools (e.g., Git) and MLOps platforms (e.g., MLflow, Kubeflow) Strong understanding of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana) Excellent problem-solving skills and the ability to work independently and as part of a team Strong communication and documentation skills Nice to have Experience with DataOps concepts and tools (e.g., Airflow, dbt) Knowledge of data governance and tools like Collibra Familiarity with Big Data technologies (e.g., Hadoop, Hive) Certifications in cloud platforms or data engineering We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : Bachelors or Masters degree in Computer Science, Data Engineering, or a related field

About Gartner IT: Join a world-class team of skilled engineers who build creative digital solutions to support our colleagues and clients. We make a broad organizational impact by delivering cutting-edge technology solutions that power Gartner. Gartner IT values its culture of nonstop innovation, an outcome-driven approach to success, and the notion that great ideas can come from anyone on the team. About this role: Gartner is looking for well-rounded and motivated Leaders to join the Gartner Innovation Tools team. The Innovation Tools team is responsible for developing innovative growth products for end-users. The team is responsible for R&D into new areas and come up with rapid solutions that can be taken to the market. What you ll do: Be a part of a new energetic team of engineers delivering fresh Products. Build modern future-proof solutions for millions of end-users. Work with Open-source technologies and applications. Work in a fast-paced environment along with passionate, technology rock stars. Follow coding standards, build appropriate unit tests, integration tests and deployment scripts. Continuously problem-solve to create secure and simple solutions. Create a robust backend for massive scalability and high performance. Bring to life elegant and modern designs. What you will need: 12-16 years of experience developing customer facing products or web applications. The candidate should have strong qualitative and quantitative problem-solving skills along with high on ownership and accountability. Must have: Expertise in designing architecture for complex systems. Expertise with AWS cloud. Expertise in Java, Spring Boot and Microservices. Experience with Docker and container orchestration (Kubernetes/ Service Mesh). Exposure to DevOps, Terraform and GitOps (Argo, Helm) is a big plus. Strong experience with architectural patterns implementation Excellent communication and interpersonal skills Who you are: Education qualification as graduate or postgraduate degree in Engineering is required. Excellent communication and prioritization skills. Able to work independently or within a team proactively in a fast-paced AGILE-SCRUM environment. Owns success Takes responsibility for successful delivery of the solutions. Strong desire to improve upon their skills in software development, frameworks, and technologies. Don t meet every single requirement? We encourage you to apply anyway. You might just be the right candidate for this, or other roles. Qualification : Education qualification as graduate or postgraduate degree in Engineering is required.

The Team: The OSTTRA Technology team comprises professionals specializing in Capital Markets Technology, building, supporting, and securing applications that power our network. The technology landscape includes high-performance, high-volume applications, leveraging contemporary microservices and cloud-based architectures. The Impact: As a member of the OSTTRA Technology team, you will play a critical role in designing, building, and maintaining platforms that process over 100 million messages daily. Your work supports the automated trade processing across global capital markets, ensuring efficient settlement and compliance with regulatory requirements. What s in it for You: This role offers an opportunity to work with a highly motivated and dynamic team in Gurgaon, collaborating with colleagues across multiple global regions. You will have the chance to leverage your 12-15 years of experience in platform engineering and help shape the future of our expanding portfolio of Financial Services clients. Key Responsibilities: Platform Architecture: Design and architect scalable, resilient, and high-performance platform infrastructure for financial services. Team Leadership: Lead, mentor, and guide a team of engineers, fostering a culture of collaboration, innovation, and continuous improvement. Agile Project Delivery: Implement Agile methodologies (Scrum, Kanban) for efficient project delivery and task management. Automation & Optimization: Implement automation tools and scripts (e.g., Terraform, Ansible) to streamline infrastructure provisioning, deployment processes, and optimize cloud resource utilization. Security & Compliance: Enforce security best practices, conduct security audits, and ensure compliance with industry standards. Performance Optimization: Monitor platform performance, identify bottlenecks, and implement optimization techniques for better scalability and response times. Cloud Integration: Leverage cloud platforms (AWS, Azure, GCP) for scalable solutions and cost-efficiency. What We re Looking For: Experience: 15+ years of platform engineering experience, preferably in the Fintech industry. Cloud Expertise: Strong knowledge of cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Automation Skills: Proficiency with automation tools like Terraform, Ansible, and CI/CD pipelines (Jenkins, CircleCI). Agile Expertise: Deep understanding of Agile methodologies (Scrum, Kanban) with hands-on experience in Agile project delivery. Security & Compliance: Expertise in implementing security best practices and ensuring platform compliance. Additional Skills: Experience with serverless computing, microservices architecture, data engineering, and data pipelines. Cloud and Agile certifications (e.g., AWS, Azure, CSM, PSM) are preferred. As part of OSTTRA, you will be at the forefront of driving post-trade innovation and efficiency within the global financial markets. This is an excellent opportunity to contribute to a dynamic, evolving organization and work on cutting-edge platform technologies. Qualification : Proficiency in infrastructure automation tools (e.g., Terraform, Ansible).

DevOps Architect Location: Gurgaon Experience: 4 6 years Employment Type: Full-Time Role Overview We are looking for an experienced and forward-thinking DevOps Architect to join our team in Gurgaon. The ideal candidate will have deep expertise in cloud infrastructure, automation, CI/CD pipelines, and monitoring tools. You will play a critical role in shaping and maintaining the DevOps architecture, ensuring scalability, reliability, and efficient service delivery across the development and operations ecosystem. Key Responsibilities Lead and manage CI/CD pipelines and continuous deployment strategies. Oversee build and release processes, provisioning, capacity planning, and reporting. Ensure high system availability, performance, and reliability using robust monitoring and alerting practices. Work with development and operations teams to understand technical requirements and convert them into actionable backlogs. Implement DevOps and SRE best practices to streamline workflows and improve overall system efficiency. Maintain and scale infrastructure using Kubernetes, Docker, and other container orchestration tools. Administer Unix-based systems, automate tasks using Python or Shell scripting. Manage and monitor tools such as ELK, Prometheus, Nagios, GitLab, and Jenkins. Collaborate within an Agile development environment. Support database systems, including both SQL and NoSQL. Required Skills & Qualifications 4 6 years of experience in DevOps or cloud architecture, primarily on AWS. Strong background in both development and operations functions. Proficiency in containerization and orchestration using Kubernetes and Docker. Experience with monitoring and logging tools: ELK Stack, Prometheus, Nagios. Familiarity with CI/CD tools like GitLab and Jenkins. Hands-on Unix/Linux system administration. Proficient in scripting with Python and/or Shell. Experience working in Agile environments. Knowledge of SQL and NoSQL databases. Work on modern DevOps architecture in a cloud-first environment. Collaborate with high-performing cross-functional teams. Opportunity to influence infrastructure strategy and automation at scale. Be a part of a forward-looking, innovation-driven culture.