Top Engineering Jobs in Pune

The Engineering Specialist will lead integration architecture for Salesforce, govern API and integration designs, and mentor developers, ensuring best practices in client projects.

Lead engineering teams building AI-powered platform products (Navi, Agent Studio) and agent platforms. Drive architecture, productionalize LLM/agent systems, partner with product, establish engineering practices, define metrics, and hire and mentor a global team.

Lead end-to-end seat structure product development including design, validation, and delivery. Translate customer requirements into compliant designs, apply DFx and analysis tools, manage deliverables, support testing/failure analysis, and coordinate cross-functional teams to meet PDP timelines and regulatory requirements.

Lead end-to-end seat structure product development (design, build, validation), translate customer requirements, apply engineering tools (FMEA, DOE, DFM/DFA), manage deliverables, budgets, cross-functional teams, testing, and mentor design engineers to ensure program milestones and regulatory compliance.

Develop software strategies, define architecture standards, and advise on technology integration and governance for enterprise solutions.

The Director of Data Platform Engineering will oversee the data infrastructure, manage relational databases, lead AI integration, and ensure data governance while fostering a collaborative team environment.

The Engineering Lead will design and implement technical features, work on ML pipelines, and mentor engineers while ensuring high-quality deliverables. This role requires collaborating with teams and managing the ML lifecycle for business value.

As an Engineering Manager, you'll lead a global team to enhance GitLab's deployment and upgrade experiences, focusing on reliability and operational simplicity.

Design and implement technical features, collaborate with clients, write production-ready code, ensure quality deliverables, mentor team members, and implement ML models on large scale.

The Engineer II will lead testing efforts, coordinate user acceptance testing, develop test plans, troubleshoot issues, and mentor junior engineers.

The consultant manages endpoint services, handles application lifecycle, patch compliance, and employs automation and AI for operational improvements.

As an Assistant Project Manager, you will support construction and workplace projects, handling planning, coordination, documentation, and stakeholder communication to ensure successful outcomes.

Oversee the delivery of a greenfield tea factory project, including construction oversight, quality control, coordination with teams, and ensuring operational readiness.

The Solution Engineering Manager will lead a team of Solution Engineers, improve sales methodologies, and ensure high team performance while engaging with customers in the Identity Governance market.

Lead and scale Quillbot's data infrastructure, manage engineers, drive architectural decisions, and collaborate with cross-functional teams to enhance usability and performance.

Manage product development and engineering processes for automotive seating systems, ensuring compliance and adherence to timelines while leading a team and maintaining profitability.

We are seeking a Mid-level or Senior DevOps Engineer to design, implement, and improve CI/CD systems, ensure reliable software delivery, and collaborate across teams to enhance system performance and maintainability.

As Engineering Manager for GitLab CD, you will lead a new globally distributed team, manage delivery of a Continuous Deployment product, and collaborate with cross-functional teams to align technical decisions with business goals.

Lead an engineering team to build distributed, low-latency Python applications and cloud-native solutions on AWS. Design and operate data ingestion and processing pipelines, manage relational and NoSQL databases, implement CI/CD and DevOps (Docker, Kubernetes, Terraform), and productionize ML/Deep Learning and Generative AI solutions (RAG, LLM fine-tuning, prompt engineering). Ensure governance, security, and observability for scalable, production-grade ML systems.

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 maintain ETL processes and data pipelines. Gather requirements, ensure data quality and integrity, perform validation and performance tuning, monitor ETL jobs, troubleshoot issues, and support data warehousing and reporting solutions.

Lead server-side development for scalable, low-latency payment systems. Design and implement backend logic, database schemas, integrations, security, testing, and collaborate with front-end teams to ensure high performance and reliability.

Design and build high-throughput, low-latency transaction processing platform services using Python and Go. Implement scalable frameworks, streaming/event processing with Kafka, backing stores (MySQL, Redis, Elasticsearch), and ensure performance, resilience, and production readiness on AWS.

Lead and develop a software engineering team: hire, coach, measure performance, ensure delivery quality and stability, define testing/quality strategy, optimize team efficiency using metrics, coordinate cross-functional integration, and drive automation and technical improvements.

Lead multiple engineering teams to design and deliver productized IBM Z/mainframe solutions, APIs, developer tooling, telemetry pipelines, and reusable data products. Provide architectural leadership, hire and mentor engineers, enforce engineering best practices, and align execution with product roadmaps and business priorities rather than runbook-based operations.