Top AWS Jobs in Pune

Lead design and implementation of enterprise-scale generative AI and agentic systems. Architect multi-agent orchestration, RAG and inference pipelines, fine-tuning/quantization strategies, integrations (APIs, webhooks, connectors), and secure data/model management. Optimize deployments across cloud, edge, and on-premises while establishing evaluation, selection, and lifecycle practices.

The AI Architect will design, implement, and oversee large-scale AI systems, ensuring they align with business goals and ethical standards. Responsibilities include architectural design, integration of AI models, and collaboration with data engineering. Requires over 10 years of experience in AI/ML implementations for large enterprises.

As a Python + React Developer, you will build full-stack applications, design RESTful APIs, and integrate AI models while collaborating with cross-functional teams.

As a Full Stack Engineer, you'll develop full-stack applications using .NET and React, focusing on creating user-friendly interfaces and robust backends for AI integration. Responsibilities include API design, database management, application deployment, code quality assurance, and collaboration with cross-functional teams.

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 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.

The Angular Developer designs and develops responsive web applications focusing on security and performance, guides developers, creates UI architecture, implements unit tests, and works with CI/CD to deploy on AWS.

The DevOps Engineer will develop and maintain cloud-based services on AWS, utilize configuration management and deployment tools, and automate processes using various technologies. Responsibilities include writing deployment architectures, troubleshooting networks, and supporting DevOps tools.

Develop cloud-based Python Django FinTech applications, design RESTful APIs, collaborate with frontend developers, and work in an agile team.

Seeking a Golang Developer with 5-6 years of experience in building applications using Golang, scalable APIs, and cloud-native development, primarily on AWS.

The Big Data Engineer will support existing applications and work on new design and implementation requirements, utilizing big data technologies and tools.

The Snowflake Developer will write SQL queries, develop ETL scripts, manage data warehousing processes, and provide production support. Responsibilities also include performance tuning and collaborating in cross-team environments.

As a Backend Developer, you will design and run applications through the software development lifecycle, requiring strong coding and problem-solving skills. Must have expertise in Golang, Python or Node JS, and experience in cloud deployments and RDBMS.

This role involves collaborating with users to build data solutions, managing AWS data technologies, and automating workflows for efficiency.

Design and develop full stack web applications using modern technologies. Collaborate with team members, optimize performance, and follow agile methodologies.

Develop ASP.Net applications using C# and .Net Core, integrate REST APIs, and work with cloud environments and CI/CD pipelines.

The Azure DevOps Engineer will design and build scalable systems, implement CI/CD, create monitoring solutions, and support application health, among other tasks.

Develop and manage web applications using the MEAN stack, create APIs, and ensure quality releases while collaborating in an Agile environment.

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.

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.

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.

Design and optimize high-throughput syslog pipelines, manage log ingestion systems, troubleshoot issues, and ensure log integrity across environments.

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.

Design, build, and operate secure, highly available AWS infrastructure using Terraform and CI/CD. Automate provisioning, scaling, monitoring, incident response, security, and cost optimization for high-traffic systems.