Top AWS Jobs in Pune

As a hands-on data engineer, you'll build and enhance scalable data platforms, develop data pipelines, and collaborate with various teams to improve data solutions and system performance.

The Partner Sales Manager will build and manage partner relations in India, driving sales through partnerships, and executing on joint go-to-market strategies and marketing initiatives.

The Full Stack Developer will design and develop SaaS applications focusing on scheduling, build front-end interfaces, back-end APIs, manage deployments, and collaborate with teams for feature definition.

Design, develop, and execute test plans and automated tests (including API and performance). Identify and track defects, collaborate with cross-functional teams, maintain CI/CD test automation, and use AI tools to support test strategy and automation.

Design and implement customer-facing technical solutions across pre- and post-sale phases, perform business/process analyses, define requirements, produce detailed designs, validate through testing, estimate effort, and build architecture best practices to accelerate customer value.

Lead implementation and deployment of Amtech ERP solutions (cloud or on-prem), manage data migration and EDI integrations, provide technical training and go-live support, troubleshoot complex issues, mentor junior consultants, and contribute to sales and process-improvement initiatives while maintaining high billable utilization.

Build and maintain data pipelines, warehouses, and lakes on AWS; design processing algorithms; collaborate with data scientists to deploy ML models; drive platform performance, stability, and controls while leading or advising teams.

Own end-to-end architecture and roadmap for a network monitoring product: API and UI, topology and dependency modeling, discovery/onboarding, alert history screens, data contracts with telemetry/classification services, performance-focused topology visualizations, cross-team technical leadership, and mentoring.

Design, build, and maintain scalable network test automation frameworks and automated test suites; integrate tests into CI/CD; apply AI/ML for test generation, anomaly detection, and analytics; analyze test/network data; collaborate with development and QA; contribute to test strategy and documentation.

Design, develop, and maintain highly scalable microservices and backends (Java/Spring) for millions of users. Collaborate with product owners, perform code reviews, respond to production incidents, mentor junior engineers, participate in team ceremonies, and potentially share on-call duties.

Build and productionize ML systems for personalization, search, and recommendations. Apply statistical and ML models using Python and SQL, collaborate with stakeholders, and measure business impact across cloud environments.

Own QA for web and mobile releases: write and run manual and automated tests (web, mobile, API), build test frameworks, improve CI, track issues, mentor teammates, and influence requirements and quality processes.

Develop mobile-first, responsive Vue.js frontends focused on performance and UX. Build frontend management systems, participate in code reviews and team ceremonies, mentor junior engineers, and collaborate with backend teams.

Lead test strategy and automation across UI, API, and GraphQL. Build and evolve automation frameworks, integrate AI/LLM evaluation, optimize CI/CD test pipelines, implement performance and monitoring solutions, and mentor QE engineers to embed shift-left quality practices.

Design and lead enterprise-scale Agentic and Generative AI architectures, multi-agent systems, and knowledge-driven retrieval solutions. Define governance, observability, LLM selection, and production best practices. Lead PoCs to production, mentor teams, and advise stakeholders on AI strategy and transformation.

Lead design, deployment, and lifecycle management of VMware Cloud Foundation solutions. Own technical delivery, automation (Terraform, Ansible, PowerCLI), performance tuning, and integration with third-party tools. Mentor consultants, run workshops, and drive reusable deployment methodologies and process improvements.

Own and grow Neo4j's GSI strategy in India by building partner-led pipeline, co-selling with GSIs, managing enterprise deals and forecasts, enabling partner teams, and establishing repeatable co-sell frameworks to scale regional revenue and a future GSI sales team.

Design, build, and operate distributed platform infrastructure powering notebooks, jobs, apps, model serving, and AI agents. Own container pools, scaling, routing, RBAC, billing, observability, and secure networking across regions and clouds. Lead cross-functional initiatives, mentor engineers, share on-call duties, and improve reliability, security, and cost-efficiency.

Technical leader designing, delivering, and operating high-scale backend services and integrations for multi-channel ecommerce. Own architecture, mentor engineers, drive end-to-end delivery of ambiguous, high-impact problems, and champion reliability, observability, automation while writing maintainable, well-tested code.

Lead proactive threat hunting and detection engineering using Splunk ES and other security platforms. Design and maintain detections, perform vulnerability assessments, mentor junior analysts, collaborate with global teams on incident response, automate processes, and document procedures to strengthen security posture.

Drive technical pre-sales engagements by defining customer challenges, delivering demos, workshops and PoC support, and mapping solutions to Couchbase. Act as trusted technical advisor to developers, architects and executives, collaborate with sales, product and engineering, and produce technical collateral and architectures to ensure successful adoption.

Lead design, delivery, and operational support of large-scale cloud-native data platforms (Snowflake, AWS, Azure). Architect solutions, mentor engineers, manage multiple customer accounts, optimize performance, automate operations, and present technical recommendations to executives.

Lead design and delivery of scalable Python backend and AI platforms. Architect microservices, integrate LLMs and vector retrieval, build AI workflows, optimize data pipelines with Databricks and SQL, lead cloud deployments on Azure/AWS, mentor engineering teams, and collaborate with product and data science to productionize Generative and Agentic AI solutions.

Design, build, and maintain high-performance backend systems and scalable APIs using Python and FastAPI. Integrate AI-driven solutions (Generative/Agentic AI), work with Databricks and SQL/RDBMS, collaborate with cross-functional teams, optimize performance, and contribute to architecture and technical decisions.

Lead technical direction for data platforms, design and maintain data pipelines for reporting and AI (RAG, embeddings, vector stores), reduce architectural debt, mentor engineers, partner with product leadership, and represent Mitratech externally.