Top Engineering Jobs in Pune

Develop and maintain scalable value-quantification frameworks, analyze data, build dashboards and reports, collaborate with cross-functional teams, manage projects and timelines, support risk mitigation, and communicate insights to stakeholders to improve program performance.

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 engineering for a Decision Management fraud-detection platform: set engineering strategy, deliver low-latency/high-volume, highly available services, enforce secure SDLC and PCI compliance, drive DevOps/CI-CD/observability practices, manage delivery and budgets, mentor teams, and ensure operational readiness and incident response.

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 multiple product teams to design, develop, and maintain end-to-end software solutions. Own technical direction, architecture, DevSecOps/CI-CD practices, vendor performance, and full people management while driving agile delivery, security, and platform usage/cost tracking.

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 and grow an 8-12 person Cloud Platform Engineering team to deliver scalable cloud infrastructure, CI/CD and automation tooling, developer productivity platforms, monitoring and incident processes, and quality-embedded pipelines. Drive multi-team platform initiatives, technical architecture, operational reliability, and continuous improvement to support large-scale customer transactions and engineering velocity.

Lead design and development of a fintech onboarding web product using Angular, Java/Spring Boot, Node.js front-end frameworks, and cloud-based microservices. Build secure, scalable REST APIs, integrate external/internal content feeds (JSON/XML/RSS), implement automated tests, document components, and collaborate with distributed teams to deliver digital consumer solutions.

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.

Lead and grow a cross-functional full-stack engineering team to design, build, and operate web applications and data pipelines. Provide technical direction, partner on product roadmaps, drive engineering quality and innovation, and coordinate across teams to scale platform solutions and deliver customer value.

Design, develop, and deploy scalable Java-based microservices (Spring Boot) in CI/CD-enabled cloud environments. Build event-driven, real-time systems with appropriate data persistence (RDBMS/NoSQL). Leverage AI/ML and GenAI for solutions and PoCs, ensure security/compliance, drive code quality, mentor engineers, and collaborate across teams to deliver projects on schedule.

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.

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.

Lead engineering strategy and delivery for the NGFT platform, ensuring stability, scalability, compliance, and migration from legacy systems. Manage and develop global engineering teams and managers, drive observability, incident management, resiliency, and automation. Partner with Product, TPM, SRE and stakeholders to deliver platform capabilities, enforce SDLC and security best practices, and represent engineering in executive forums.

Lead and grow a full‑stack engineering team for IdentityIQ, driving feature development, platform modernization, QA and test automation, and cross‑functional delivery while partnering with Product Management to scope, prioritize, and release secure, scalable enterprise identity solutions.

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.

The Advanced Procurement Manager leads procurement efforts in product development, optimizing costs and supplier strategies while collaborating with various teams to ensure successful product lifecycle management.

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.

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 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.