Top AWS Jobs in Pune

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

The Ubuntu Pro Sales Engineer drives adoption of Ubuntu Pro, advises customers, delivers presentations, and collaborates with sales teams to meet targets in a global setting.

As an Engineering Manager, you'll lead a remote team, manage MLOps projects, ensure high performance, and mentor engineers while driving product strategies.

Lead and execute performance testing for cargo applications: create and run test scripts (JMeter, LoadRunner, K6), configure tools/environments, monitor systems, analyze results, tune databases/backends, document strategies, and mentor junior testers.

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

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

The Senior Software Engineer will design, develop, and support innovative solutions, collaborating with teams, analyzing requirements, and ensuring application performance in an agile environment.

The Site Reliability Engineer will monitor and ensure the reliability and performance of platforms using ELK and TICK stacks, bridging development and operations.

The DevOps Engineer will enhance software development and IT operations, focusing on automating processes, managing cloud infrastructure, and implementing CI/CD pipelines.

The Senior Salesforce Developer at Komodo Health will design and develop Salesforce applications, oversee integrations, mentor junior staff, and ensure high-quality cloud services aligned with industry standards.

Lead design and build a multi-tenant 3PL platform for onboarding, inventory, order routing, warehouse operations, and billing. Drive architecture, reliability, observability, and AI-native automation for forecasting and exception handling. Mentor engineers, define standards, and ensure scalable, production-grade fulfillment pipelines and SLAs.

Design, develop, test, and maintain scalable production services, web applications, APIs, data pipelines, and distributed systems. Troubleshoot complex production issues, conduct code reviews, improve CI/CD and operational processes, mentor junior engineers, and collaborate with cross-functional teams to deliver high-quality, cloud-native software solutions.

Leads the architecture, development, deployment, and operation of scalable AI infrastructure, distributed systems, real-time data platforms, microservices, and agentic AI solutions. Defines technical vision, builds resilient and observable production services, processes high-volume network data, mentors engineers, and drives engineering excellence across intelligent networking and automation platforms.

Develop and maintain enterprise-scale responsive web applications using React and related frontend technologies. Build reusable UI components, integrate REST and GraphQL APIs, optimize performance, ensure accessibility and cross-browser compatibility, and write tested, documented code. Collaborate with product, UX/UI, backend, DevOps, and QA teams throughout the software development lifecycle. Participate in design discussions, code reviews, sprint planning, and resolve bugs and usability issues.

Design and maintain enterprise IT and data architecture focused on data governance, MDM, metadata/catalog, and data quality. Lead technical design, implement MDM and metadata solutions, enable AI-driven automation, collaborate with stakeholders, mentor architects, and recommend technologies to improve data discoverability, reliability, and business value.

Own the React Native application end to end, including architecture, performance, releases, app-store presence, and roadmap. Lead and mentor two mobile engineers, establish technical direction, and collaborate on engineering and product strategy. Deliver polished iOS and Android experiences, run experiments, measure growth and retention impact, and iterate rapidly. The role may help expand the mobile team as the app grows.

Develop, test, and maintain Python-based software and data pipelines; design scalable applications; collaborate on feature delivery; participate in code reviews; integrate, debug, and prioritize features to support machine learning and backend systems.

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.

Design, implement, and deploy production machine learning models in a Python-based cloud architecture; build APIs and data-facing capabilities; deliver high-quality, testable code (CI/CD); visualize and publish insights; work in an agile team and manage stakeholder expectations while promoting data-driven culture.

Build and deploy full-stack AI applications integrating LLMs, RAG architectures, vector databases, and multi-agent systems. Develop Python backends, APIs, ingestion pipelines, responsive interfaces, and real-time dashboards. Design and optimize PostgreSQL databases, containerize applications with Docker and Kubernetes, manage AWS and GPU infrastructure, and operate Linux environments. Mentor developers, conduct demonstrations, evaluate emerging AI technologies, and improve reliability through testing, debugging, performance tuning, and quality processes.

Leads the architecture and delivery of production-grade agentic and generative AI systems, including LLM agents, RAG pipelines, multi-agent workflows, and scalable cloud applications. Guides technical architecture, production engineering, LLMOps, evaluation, observability, security, and responsible AI practices. Mentors AI/ML and backend engineers, conducts design and code reviews, and collaborates with product, data, platform, security, compliance, and executive stakeholders.

Leads end-to-end cloud and platform engineering consulting engagements, owning scope, governance, delivery quality, client relationships, and executive outcomes. Manages a 2–3 person engineering pod through staffing, coaching, and performance development. Oversees multi-cloud discovery across AWS, Azure, and GCP, develops prioritized recommendations and roadmaps, applies AI-driven solutions, and evolves repeatable Rapid Solutions playbooks, templates, and delivery standards.

Lead end-to-end cloud and platform engineering consulting engagements, owning scope, governance, client relationships, delivery quality, and executive outcomes. Manage and coach a 2–3 person engineering pod, oversee staffing and utilization, conduct multi-cloud technical discovery, and develop prioritized recommendations and roadmaps. Evolve Rapid Solutions offerings, playbooks, templates, and delivery standards while applying AI-driven solutions to improve efficiency and insight.

Design, build and maintain scalable ETL/data pipelines, data warehouses and lakes. Implement processing and analysis algorithms, ensure data accuracy/security, collaborate with data scientists to deploy ML models, and lead or advise teams while partnering with stakeholders to manage risk and continuous improvement.

Design, build, and maintain data pipelines, warehouses and lakes; ensure data accuracy, security and scalability; develop processing and analysis algorithms; support ML model deployment; lead or coach team members and influence cross-functional decisions while managing risk and controls.