Top Engineering Jobs in Mumbai

Lead and grow a cloud-native engineering team to design, build, and operate AI/Generative AI SaaS platforms. Translate product requirements into scalable architectures, drive cloud and CI/CD best practices, contribute hands-on code and IaC, and collaborate with product, data science, and operations to deliver reliable, production-grade AI systems while recruiting and mentoring engineers.

Lead technical direction and architecture for custom software solutions; guide teams through design and delivery, set development standards, ensure code quality, scalability and performance, mentor engineers, coordinate cross-functional integration, and manage technical risks to align engineering outcomes with business objectives.

Lead technical direction and architecture for custom software solutions, guide development teams through design-to-delivery, set standards, ensure code quality, scalability, and performance, and coordinate cross-functional stakeholders to meet business objectives.

The Senior Manager manages risk assessments for technology, cybersecurity, data, and AI while providing advice on controls and compliance. Responsibilities include guiding teams, advising on project risks, and promoting a strong risk culture.

Lead ETL and data engineering for Finance Data Warehouse: analyze business data, design/build/test/optimize ETL components (SQL, Spark/Java/Scala, Morphir), ensure performance/scalability, define features, document and provide L3 support across global finance stakeholders.

Lead architecture, build, and operate a Databricks-based Lakehouse and ML platform across four pillars: Data Platform, ML Platform & MLOps, Platform Operations & FinOps, and Data Governance & Quality. Deliver sub-second inference, industrialize ML lifecycles with MLflow and Mosaic AI, implement governance-as-code, run FinOps for DBU cost allocation, and ensure platform reliability for retail-scale traffic and thousands of developers.

Lead and grow a platform/DevOps/SRE team to design, build, and operate cloud-native MLOps and developer platforms (Terraform, Docker, Kubernetes, CI/CD). Ensure reliability, scalability, observability, security, cost optimization, and strong developer experience while partnering with product, data, and security teams.

Lead and grow a cross-functional AI platforms team to productionize LLM-powered solutions. Own platform roadmap, architecture, MLOps pipelines, vector DB integrations, security/compliance, and cross-functional stakeholder alignment to deliver scalable, reliable AI services.

Lead BI and data analysis efforts: analyze complex datasets, map business/process/data flows, build KPI-driven analytics, run UAT, perform data profiling/validation, deliver ad-hoc analyses, and partner across engineering, product, and business teams to drive data-informed decisions.

The role involves developing and maintaining web applications using .NET technologies, integrating back-end services, writing tests, and collaborating with cross-functional teams in Agile environments.

The Data Analytics & Engineering Specialist will design data pipelines, apply statistical methods for insight generation, and collaborate with teams to promote data-driven practices.

Responsible for managing technical services and assets, conducting inspections, overseeing maintenance staff, ensuring compliance, and coordinating vendors for efficient operation.

On-site apprentice supporting building electromechanical and utilities maintenance. Assist with PPM, inspections, asset documentation, vendor and invoice coordination, staff training, safety procedures, energy conservation, logbook and report maintenance, and emergency response participation under Property/Technical Manager guidance.

Manage and maintain building electromechanical and utilities systems, implement planned preventive maintenance, conduct inspections, supervise and train shift engineers/technicians, manage vendors/contracts/SLAs, ensure safety and work permits, maintain logs/reports, support risk assessments and emergency response, and drive energy conservation and cost-control activities on-site in Mumbai.

Support senior ESG professionals by collecting, validating, and analyzing sustainability data (carbon, water, labor), helping prepare reports (GRI, SASB, TCFD, BRSR), conducting benchmarking, monitoring regulatory/news updates, and collaborating across Finance, Operations, and HR to integrate ESG targets.

The Engineering Manager will lead web platform teams, ensuring alignment with strategic goals and promoting modern development practices while emphasizing team empowerment and high performance.

Lead and grow a high-performing full-stack engineering team to deliver customer-focused digital wealth products. Drive technology strategy, CI/CD, cloud-native and secure architectures, mentorship, and cross-functional collaboration to ship scalable frontend and backend solutions.

As an Engineer Level 2, you support quality and testing solutions in agile and traditional environments, gaining independence with varying complexity tasks.

The Project Coordinator will manage project logistics, coordination, and communication across design and engineering teams, ensuring seamless project delivery and stakeholder alignment.

The Engineering Manager will drive software and quality engineering initiatives, develop software solutions, manage projects, mentor teams, and ensure successful software delivery.

As an Engineer in Solutions Engineering, you will support supply chain optimization studies through data analysis and modeling, contributing to customer supply chain improvements.

The Engineering Manager will lead the design and delivery of cloud-native engineering projects, manage software engineering teams, enhance technical strategies, and ensure operational excellence in the AI Factory's product development.

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.

The Data Engineering Manager will lead and grow the Data Engineering team, managing execution of key data initiatives and mentoring engineers while building scalable data platforms across business lines.