Top Engineering Jobs in Mumbai

The role involves improving FP&A processes through analysis, project execution, and risk management, ultimately enhancing stakeholder experience across the organization.

Lead the technical roadmap for insurer integrations, manage a team, design scalable systems, and collaborate with stakeholders to optimize workflows.

Lead the B2B Card Issuance vertical, managing a mid-size team to enhance backend services, ensure delivery, and promote team effectiveness.

The Engineering Manager will lead efforts in data-centric solutions, focusing on ETL strategy, engineering standards, and full lifecycle project participation.

Lead and inspire a diverse engineering team, drive technology strategy, and deliver scalable solutions that meet business needs, focusing on growth and empowerment.

The Process Engineer will optimize semiconductor fabrication processes, ensure compliance with industry standards, assess equipment needs, and lead continuous improvement efforts.

The Cloud Director will design and implement cloud architectures, optimize ETL/ELT pipelines, manage data ingestion, ensure data governance, and provide mentorship while collaborating with cross-functional teams.

Lead a 10-15 engineer team to design, build, and scale the Custom Objects platform: architect distributed systems, ensure reliability and observability, ship high-quality APIs/UI integrations, hire and mentor engineers, and collaborate cross-functionally to drive extensibility and platform adoption.

The Engineering Manager will innovate and deliver complex systems, mentor the team, establish best practices, and improve the product development lifecycle.

The role involves working with customers on technical queries, leading evaluations, and collaborating with product and engineering teams to ensure success using BrowserStack.

The Staff Instrumentation Engineer is responsible for maintaining software for lab testers, ensuring smooth operations and integration of process field instrumentation.

Lead and execute platform strategy for data, AI/ML, and GenAI at Priceline, managing global teams to enhance data access and machine learning capabilities.

Support senior engineers by designing, testing, and validating AI workflows, building small reusable workflow components, assisting with data retrieval (Snowflake), testing transcription ingestion, and contributing to monitoring, reliability, and rubric-based scoring under close mentorship.

As a Quality Assurance Intern, you will execute test cases, create logs, report errors, and improve automation testing processes while collaborating with engineering teams.

The Platform Engineering Manager will lead engineering teams, ensuring the delivery of AI and MLOps platforms, while bridging product vision with cloud-native engineering execution. Responsibilities include managing platform products, defining engineering strategies, and providing support to engineering teams for automation and scalability.

The Engineering Manager will lead product design and delivery for Stratumn platforms, focusing on aligning technical solutions with business requirements, fostering team performance, and ensuring operational excellence in a cloud-native environment.

Lead the design and delivery of AI platforms, manage engineering teams, drive cloud strategy, and collaborate cross-functionally to create technical solutions.

The SEO Writer will produce various types of content, collaborate with departments, and develop documentation for Software Engineering topics.

Lead AI and data innovation by developing ML models, optimizing data systems, and mentoring junior team members in a collaborative team environment.

As an Engineering Intern, you'll assist in various projects focusing on platform engineering, AI/ML, DevSecOps, and software testing, collaborating with teams to develop digital health products.

Leading the creation and delivery of AI and Generative AI platforms, managing a cross-functional team, and ensuring data-driven AI services are scalable and secure.

Lead and inspire cross-functional engineering teams, drive operational excellence, contribute to tech strategy, and oversee architecture and delivery standards.

As a Lead Data Engineer, drive innovative data analytics projects, manage engineering roles, and leverage AWS and Python to transform data solutions.

This role leads the strategy and development of data management software for the life sciences sector, managing from conception to launch and ensuring compliance with industry standards.

Lead and scale the engineering organization focusing on next-gen healthcare AI products, ensuring high quality, performance, and compliance while mentoring teams.