Top Engineering Jobs in Pune

Lead end-to-end seat structure product development including design, validation, and documentation. Translate customer requirements into manufacturable designs, apply engineering tools (FMEA, DOE, DFM/DFA), manage deliverables (DVP&R, GD&T, BOM), drive testing/validation, coordinate cross-functional teams, mentor engineers, and ensure compliance with safety and regulatory standards.

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.

Lead design and delivery of modern, secure, scalable cloud-native data platforms (Lakehouse) across AWS and Azure. Drive DevOps/IaC, data governance, medallion architecture, performance and cost optimization, mentor global engineers, and collaborate with stakeholders to translate business requirements into production data solutions.

Lead data engineering efforts to ingest, unify, process, and analyze large, high-dimensional datasets using cloud and big-data platforms. Partner with product, data science, and platform teams to build reusable, production-ready data solutions, prototypes, and analytics that drive cybersecurity and fraud-related products and insights.

Designs and implements data ingestion, aggregation, and processing pipelines across Hadoop and cloud platforms to enable unified data views and analytics. Partners with product, data science, and platform teams to integrate data assets, build prototypes, and produce actionable insights and BI solutions. Applies data modeling, large-scale querying, and analytics to support security, fraud, and identity products.

Lead and manage seat-structure product development teams to meet government and OEM standards, oversee design releases and engineering changes, ensure schedule and budget adherence, liaise with customers and suppliers, document lessons learned, recruit and coach engineers, and maintain safety and quality processes.

Lead design and implementation of scalable, secure cloud-native data and AI platforms across AWS and Azure. Set platform strategy, governance, and best practices; build lakehouse/medallion architectures, CI/CD and IaC, batch and streaming pipelines, observability, cost optimization, and MLOps integration. Mentor engineering teams, collaborate with stakeholders, and ensure security and compliance.

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 role involves managing a software engineering team, promoting best practices, mentoring engineers, and collaborating on product solutions. Requires experience in Go, Unit Testing, and Agile methodologies.

Lead and grow engineering teams building scalable, low-latency, high-availability backend systems. Drive architecture, delivery, operational excellence, observability, incident response, and mentor engineers while ensuring predictable, high-quality production deployments.

Lead GBSC data engineering and analytics initiatives: design data/ETL infrastructure, implement automation, enable large-scale structured and unstructured data analysis, manage team delivery, and communicate insights to influence business decisions.

Oversee compliance platform engineering, focusing on scalable solutions and cross-functional delivery to meet regulatory and business growth needs.

Lead and grow engineering teams to design, build, and operate scalable data and AI platforms. Own end-to-end delivery, architecture, and operational excellence for data pipelines, AI-enabled services, and platform capabilities while ensuring security, reliability, governance, and cross-functional alignment.

As a Senior Technical Program Manager, you'll collaborate with engineers to develop B2B payment solutions, managing projects from inception to completion and ensuring effective communication across teams.

Lead modernization to microservices and event-driven platforms for high-volume, low-latency payment switching. Manage and grow engineering teams, own end-to-end delivery, ensure scalability and availability, define standards and CI/CD, drive performance engineering, provide architecture guidance across payment lifecycle, and champion AI-assisted engineering practices.

Designs, builds, and operates scalable ETL/ELT data pipelines and curated datasets on Hadoop/cloud platforms using PySpark, Python, and SQL. Ensures data quality, governance, performance tuning, CI/CD for data workflows, and supports analytics and ML-ready datasets. Participates in on-call rotations and cross-functional stakeholder communication.

The Lead, Big Data Analytics & Engineering will oversee data engineering, analytics enablement, and collaboration across teams, focusing on high-quality data platforms and solutions.

Lead and coach backend engineering teams to design, build, deploy, and operate global digital payment authentication products. Hire and develop talent, drive architecture, prioritize technical debt, ensure cloud-native deployments, testing strategies, and engineering productivity across services.

Lead and mentor a software engineering team to design, develop, test, and deliver scalable, secure, containerized distributed systems. Drive SDLC best practices, code and design reviews, adoption of new technologies, and collaboration with Product and cross-functional stakeholders to meet timelines and quality goals. Manage technical projects, influence architecture, and improve engineering effectiveness through Agile practices.

Lead a 4–7 person engineering team to build AI-first GTM systems including LLM orchestration, agentic pipelines, Salesforce integrations, and AWS event-driven services. Hands-on manager contributing to architecture, code reviews, hiring, career development, reliability, observability, responsible AI practices, and cross-functional GTM partnerships to turn business needs into scalable engineering roadmaps.

Design, build, and operate large-scale data lakehouse platforms and data products. Partner with business and engineering teams to develop data pipelines, models, and governance; participate in agile ceremonies, architectural discussions, and CI/CD practices to ensure scalability, performance, and regulatory compliance.

Lead AI/ML engineering vision and roadmap for healthcare and life sciences. Oversee multiple client engagements, design and deploy scalable production-grade AI solutions (ML, NLP, deep learning, computer vision, LLMs), ensure regulatory readiness, responsible AI practices, and drive adoption and value realization while managing executive client relationships and expanding AI adoption.

As a Principal Software Engineer, you will lead technical initiatives, design software solutions, and collaborate with cross-functional teams in financial services.

Lead and grow Cloudflare's India Customer Engineering team as a technical people leader. Provide hands-on architecture and escalation support, drive regional technical strategy, partner with sales to close deals, run operating cadence for pipeline and adoption, hire and coach CE talent, and surface product and competitive feedback.

Lead a small engineering team to design, build, and scale data-driven full-stack applications. Re-architect and implement scale-out compute and data pipelines using Hadoop/Impala/Spark and .NET/C#. Mentor engineers, enforce code quality, drive large projects from inception to release, and collaborate with cross-functional partners to deliver reliable, scalable solutions.