Top AWS Jobs in Pune

The Senior Consultant will manage cloud computing, specifically AWS, patch Windows/Linux systems, and handle networking security and troubleshooting.

The role involves leading data science initiatives, mentoring team members, deploying models, and ensuring high-quality technical solutions. Responsibilities include coding, architecture design, and client requirement translation.

The Senior Data Architect leads pre-sales engagements, designs end-to-end cloud and data architectures, and partners with clients on technological transformations while ensuring scalability, security, and alignment with business goals.

Develop and enhance features for EnrollWise, contribute to a scalable software architecture, review code, collaborate on design and technical feasibility, and maintain software quality.

Responsible for ensuring quality across UI, APIs, and backend services, building automation suites, conducting scalability tests, and mentoring peers.

The SDET III will lead test automation efforts for features and releases, ensuring quality and efficiency across UI, API, and backend tests, while collaborating with cross-functional teams.

The .Net Developer will develop high-performing .NET solutions, collaborate with teams, employ TDD, and maintain quality code while staying current with technologies.

Design, deploy, and manage AWS and Azure cloud infrastructure, implement CI/CD automation, monitor and optimize performance and costs, enforce security and governance, build serverless solutions, troubleshoot cross-team issues, and maintain documentation and best practices.

Architect and build a scalable, production-ready, multi-tenant ecommerce SaaS platform. Define architecture and technical standards, implement backend and frontend (Python/React), design APIs, ensure reliability, security, observability, and drive CI/CD, DevOps, and best practices while mentoring engineering teams.

Lead a backend Core Engineering team to deliver and modernize Vena's core platform. Provide technical leadership, hands-on engineering, system design, risk mitigation, mentoring, roadmap execution, and champion engineering best practices and AI-driven tooling to improve productivity and codebase health.

Lead customer-facing development and deployment of production-ready ML, Generative AI, and agentic AI solutions for supply chain challenges. Partner with customers from discovery through adoption, build scalable ML pipelines and prototypes, evaluate emerging AI technologies, collaborate cross-functionally, and mentor team members to drive measurable business impact.

Design, build, and maintain scalable ETL/ELT and real-time data pipelines on AWS. Manage Airflow DAGs, Kafka ingestion, Redshift optimization, data quality checks, API integrations, and cost optimization while collaborating with BI for reporting needs.

Lead a team delivering test automation strategy for carrier‑grade, cloud‑native network platforms. Architect scalable automation frameworks, integrate testing into CI/CD, oversee functional/performance/regression tests, and drive AI/ML‑driven testing and quality metrics while managing team performance and stakeholder reporting.

Design, build, and maintain scalable test automation frameworks and automated test suites for functional, regression, performance, and end-to-end network testing. Integrate tests into CI/CD, apply AI/ML for intelligent test generation and anomaly detection, analyze test/network data, and collaborate with development and QA to ensure product quality and faster delivery.

Design, build, and maintain scalable test automation frameworks and AI-driven tools for carrier-grade, cloud-native network systems. Develop automated test suites in Python/Java/Go, integrate tests into CI/CD, apply ML for intelligent test generation and anomaly detection, analyze test/network data, and collaborate with development and QA teams to ensure quality and faster releases.

Design and maintain scalable test automation frameworks and automated test suites for functional, regression, performance, and end-to-end network testing. Integrate tests into CI/CD pipelines, apply AI/ML for intelligent test generation and anomaly detection, analyze large test/network data sets, and collaborate across development, product, and QA to ensure testability and timely defect resolution.

Deliver and develop DevOps-focused instructor-led training, labs, and workshops; create and update curriculum and assessments; support and evaluate learners; partner with engineering and DevOps teams to identify skill gaps and enable organizational DevOps maturity.

Lead enterprise architecture for logistics: define multi-year platform, data, security, and automation roadmaps; chair architecture review board; set platform, integration, cloud, IaC/CI-CD, observability, data mesh, streaming, MLOps, and security standards; govern RPA and intelligent automation; build and coach a central architecture team; advise executives and represent with vendors and cloud providers.

Build, maintain, and modernize front-end features and design system for Vena's core platform. Fix complex bugs and performance issues, conduct code reviews, collaborate with cross-functional teams, improve testing and accessibility, mentor teammates, and drive adoption of AI-driven development practices.

Architect and modernize Vena’s cloud-native backend platform. Lead design, performance optimization, and complex bug resolution. Mentor engineers, drive major technical initiatives, partner with product/architecture, and adopt AI-driven tooling to improve code quality, performance, and delivery.

Lead and deliver front-end engineering for a cloud-native SaaS product: drive architecture and design system ownership, modernize core front-end infrastructure, mentor engineers, manage technical debt and roadmaps, collaborate with PMs and designers, and contribute hands-on code while promoting AI-driven development practices to improve productivity and quality.

Implement, test, and deliver assigned features within sprints; write clean, well-documented code; participate in code reviews; collaborate with seniors, QA, and product; learn new tools and contribute to improving codebase and processes.

Deliver end-to-end features for microservices-based systems, focusing on reliability, performance, testing, and production troubleshooting. Collaborate with product, QA, and DevOps, mentor junior engineers, adopt AI-assisted development, and improve system stability and delivery practices.

Lead architecture and delivery of scalable, secure web applications; drive AI-first engineering and LLM integrations; write full-stack production code; mentor engineers; promote best practices in microservices, cloud-native, CI/CD, observability, and security.

Design, develop, and maintain server-side components and APIs for scalable web applications. Manage relational/NoSQL databases, integrate third-party APIs, implement security best practices, optimize performance, collaborate with front-end and QA, use Git, and produce documentation.