Top AWS Jobs in Pune

Design, implement, and maintain Adobe Experience Platform solutions including XDM schemas, data ingestion pipelines, identity resolution, RT-CDP and Journey Optimizer integrations to enable segmentation, personalization, audience activation, and platform governance.

Lead delivery of data and digital consulting services: define deliverables, engage senior stakeholders, manage small teams, design scalable data pipelines, implement dashboards and analytics, ensure data quality and governance, and drive digital transformation using cloud, BI, and automation tools.

We are looking for a Full Stack Developer with 5+ years of experience in high-quality code, proficient in MERN, Python, and cloud services, to optimize scalable APIs and enhance development speed using AI tools.

Build and operate backend services and infrastructure for LLM- and voice-driven healthcare applications. Implement APIs, productionize LLM workflows, deploy cloud containerized services, and monitor performance and reliability end-to-end.

Designs, builds, and optimizes machine learning models and infrastructure, develops production-grade ML services and data pipelines, conducts research and evaluation, implements LLM fine-tuning and RAG solutions, and partners cross-functionally to translate business requirements into deployable ML deliverables.

Lead and scale distributed engineering teams, drive technical best practices, manage project timelines and risks, oversee hiring and career development, and ensure scalable, secure, maintainable architectures while collaborating with product and stakeholders.

Build and maintain Python backend services and internal tools for AI/LLM applications. Integrate LLM APIs, design scalable REST APIs and async workflows, handle prompt management and model routing, monitor performance, debug distributed systems, automate data workflows, and collaborate to productionize AI features with emphasis on scalability, reliability, and safety.

The Node JS Developer will enhance integrations, improve reliability, expand capabilities, and contribute to open-source innovations while ensuring high-quality Node applications.

The Backend Software Engineer will develop and maintain backend systems for data processing related to coffee farming, utilizing Python and PostgreSQL. Responsibilities include feature development, problem-solving, and adapting systems to regulatory changes while ensuring system resilience.

Lead the development of a data platform using Apache technologies, optimize distributed data systems, and contribute to the open-source community by driving project direction and enhancing functionality.

Lead backend architecture and build scalable, high-concurrency services and APIs (Node.js) powering web and mobile. Own components end-to-end, manage CI/CD and infrastructure (IaC, containers, cloud), improve reliability, and collaborate with PM/design to deliver core features like live interactions and checkout.

Lead enterprise AI strategy and roadmap; build and scale cross-functional AI/ML teams; architect and deliver LLM, RAG, predictive and data-heavy AI products; establish MLOps, governance, cloud-native platforms (Azure/Databricks/AWS/GCP); drive product lifecycle, KPI tracking, security, and responsible AI practices.

Lead evaluation and maturation of disaster recovery posture, define DR standards, design multi-region and active-active architectures, drive DR roadmap, implement testing (game days/chaos), produce runbooks, recommend platform/tooling, and advise engineering/security teams on resilience and compliance.

Lead and evolve SRE best practices, observability, and incident response. Design and automate cloud infrastructure, Kubernetes platforms, and IaC. Mentor engineers, drive large platform initiatives, reduce operational toil, and improve reliability, scalability, performance, and security across services.

The Edge Functions Engineer will evolve the Supabase Edge Runtime, implement monitoring and optimizations, manage features, and work closely with the Deno open-source teams.

The role involves architecting reliability solutions, incident management, promoting SRE practices, and mentoring engineers within the Site Reliability Engineering team.

Lead Java Engineer responsible for designing and building greenfield applications using modern Java (17/21/25) and Spring Boot ecosystem (Data JPA, Web, Batch). Apply Clean/Hexagonal/CQRS patterns, optimize performance, and work with CI/CD (Jenkins/Azure Pipelines/GitHub Actions). Familiarity with Kubernetes, load balancing, and cloud platforms (Azure/AWS) for deployments.

Design, develop, and deploy deep learning and computer vision models for fraud detection (including deepfake and synthetic data detection). Own production models, research new algorithms, deploy on AWS SageMaker or devices, monitor model performance, and collaborate with engineers and product managers in an Agile environment.

As an SDE III in MLOps, you'll enhance ML asset management, design infrastructure for ML model deployment, and optimize CI/CD pipelines for efficient performance.

Operate and scale low-latency, high-availability trading infrastructure; automate and manage IaC; monitor and respond to incidents; optimize system and network performance; implement secure CI/CD and IAM practices; collaborate with trading, engineering, and security teams; participate in rotational on-call support.

Own the architecture vision and roadmap for Personal Lines policy administration (Auto, Home, Umbrella). Govern Guidewire PolicyCenter capabilities, guide modernization, cloud and API integration, mentor teams, define non-functional requirements, and support continuous delivery and enterprise alignment for large-scale transformation programs.

The role involves back-end development using .NET Core and SQL, contributing to Jibble 2.0 API integrations, and collaborating with product and design teams.

The Solutions Engineer will support direct sales cycles, providing technical expertise and tailored solutions for customers, while collaborating closely with Sales, Product, and Engineering teams.

Design, build, and lead delivery of scalable cloud-native SaaS features across frontend and backend. Mentor engineers, troubleshoot complex issues, collaborate cross-functionally, adopt AI-driven tools, ensure observability and operational excellence, and drive continuous improvement.

Develop and maintain full-stack internal applications for quant, infrastructure, compliance, and operations teams in a high-performance trading environment. Responsibilities include designing solutions, developing and testing software, deploying and monitoring applications, improving trading-monitoring tools, manipulating and interpreting data, enhancing user experience, and collaborating with stakeholders across multiple high-priority projects.