Top AWS Jobs in Pune

Architect and develop large-scale, cloud-native services and real-time systems. Lead SDLC, mentor engineers, drive AI-augmented development, ensure operational excellence, testing, and security compliance.

Design and maintain automated test solutions using Java and Selenium. Collaborate with team members, perform various testing types, and integrate tests into CI/CD pipelines.

The Snowflake Solutions Architect designs and implements scalable data solutions on Snowflake, collaborates with engineering teams, optimizes performance, ensures data governance, and engages stakeholders to drive architectural decisions.

Lead the technical design and implementation of a Java-based digital platform and headless APIs. Architect and build microservices for search, browse, cart, checkout and personalization; integrate PIM/OMS/CRM/payment gateways; implement messaging (RabbitMQ/Azure Service Bus), caching (Hazelcast/Redis), and RDBMS tuning. Support cloud-native deployments (Azure/AWS/GCP), CI/CD and DevSecOps practices, drive observability (Datadog/Splunk), mentor engineers, and ensure scalable, low-latency customer-facing experiences.

The Senior Data Scientist will architect real-time fraud detection systems, process large data sets, mentor teams, communicate findings, and innovate using AI technologies for effective risk management.

Design, develop and deliver high-quality, secure full-stack software using Java and modern frontend frameworks. Collaborate with product, design and engineering peers, lead or mentor teams, implement APIs, unit/integration tests, and work in cloud/CI/CD environments to build scalable data and platform solutions for financial services.

Lead and manage engineering teams to design and deliver scalable cloud data platforms and analytics solutions. Oversee timelines, risk, and priorities; mentor staff; improve engineering processes; enforce standards and testing; collaborate with stakeholders to translate business needs into data architectures and dashboards, measuring success via platform scalability, governance, and business impact.

Lead engineering squads for Valpre, designing and delivering scalable microservices and micro-frontends. Mentor engineers, align technical strategy with business goals, drive innovation, collaborate with product and stakeholders, manage risks and controls, and ensure high-quality, secure deployments on cloud and container platforms.

Design, develop, and deliver scalable, maintainable full-stack software. Collaborate with product, design, and engineering teams, follow secure coding and testing practices, participate in code reviews, and support CI/CD and cloud deployments. May lead or mentor team members and influence technical decisions while embedding risk controls and aligning with business objectives.

The Tech Lead will oversee integration and automation projects, convert functional requirements into technical specifications, and guide the development team in delivering solutions on time.

Develop and maintain Java applications, ensuring performance and scalability. Collaborate with cross-functional teams, apply engineering best practices, and mentor junior developers.

The Software Engineer will design, develop, and improve software solutions, collaborate with cross-functional teams, and ensure code quality and performance while adhering to secure coding practices.

The Senior Software Engineer will design, develop, and improve software solutions in Java/Spring Boot/AWS, ensuring quality and performance. Responsibilities include code delivery, collaboration with teams, adherence to secure coding practices, and participation in continuous improvement initiatives while leading or advising team members.

The Data Engineer is responsible for building and maintaining data architectures, creating data pipelines, and developing algorithms for data processing and analysis. This role involves collaboration with data scientists and requires strong technical expertise, leadership skills, and a commitment to innovation and operational excellence.

The Tech Lead will oversee integration and automation solutions, create technical specifications, guide the tech team, ensure timely delivery, and support impact analysis on systems.

As a Senior Staff Engineer, you will design and optimize data pipelines, mentor engineers, ensure data quality, and collaborate with teams on data integration.

Responsible for building and operating data architectures, creating data pipelines, and implementing DataOps practices to support data scientists and engineers.

Lead design, development, and optimization of scalable cloud data platforms and pipelines across AWS/Azure/GCP. Build ETL/ELT processes, data models, and lakehouse/warehouse solutions; implement MDM and governance; support analytics/BI, pre-sales PoCs, mentor junior engineers, and ensure security and cost/performance tuning.

Lead design, architecture, and implementation of Salesforce Commerce Cloud (SFCC) and OMS solutions. Architect integrations, guide development teams, enforce best practices, troubleshoot production issues, support CI/CD and deployments, mentor engineers, and collaborate with stakeholders to deliver scalable, secure ecommerce solutions.

The Software Engineering Manager will lead an engineering team, providing technical guidance and mentoring while managing projects, improving processes, and supporting cross-functional collaboration.

Create and maintain high-quality user documentation (online help, integration guides, API docs, tutorials, release notes). Collaborate with product, engineering, and QA; mentor junior writers; ensure accuracy, clarity, and adherence to style and industry standards.

Design, develop, and maintain scalable AWS-based data pipelines and infrastructure. Build and optimize data warehouses and distributed query engines, implement ETL/ELT with tools like NiFi/Airflow/Airbyte and PySpark/Flint, ensure data quality, performance tuning, BI dashboards, troubleshooting, documentation, and mentoring junior engineers.

Build and maintain shared backend platform services (IAM/RBAC SDK, AI SDK layer, notification service, event bus, feature flags), own API gateway and service-mesh configuration, implement observability and contract testing, produce SDK documentation, and ensure platform reliability (SLOs, on-call, postmortems) while mentoring engineers and contributing to cross-squad platform standards.

Design, develop, and productionize machine learning and deep learning models, build scalable data and embedding pipelines, implement RAG/LLM-based applications using LangChain/LlamaIndex, integrate models as APIs, and optimize model performance and scalability for product integration.

Design, develop, and maintain credit scoring and real-time decisioning models using machine learning and alternative data. Validate models via A/B and back testing, integrate into production, monitor performance, and ensure regulatory compliance while collaborating with engineering and product teams.