Top Engineering Jobs in Mumbai

Lead the design and development of scalable reporting solutions, mentor engineers, manage stakeholders, and promote innovative technologies in a financial services context.

Lead the Data Engineering and Quality function, ensuring data accuracy and operational readiness, while developing quality controls and solutions using data analytics and AI.

The Lead Data Engineer will design and implement data solutions, lead a team, and ensure data governance and best practices in a finance technology context.

Manage and supervise hotel maintenance operations including electrical, plumbing, HVAC, refrigeration, fire & safety systems. Oversee preventive maintenance, stock/control of parts and tools, meter readings and utility consumption reporting. Support hiring, training, scheduling, vendor procurement, projects, energy conservation and ensure safety and compliance across the property.

Lead engineering services and IoT automation business development for property & asset management. Own client/vendor relationships, delivery of AMCs, R&M, procurement, SLAs/KPIs, documentation, forecasting, and administrative tasks across multiple sites with PAN-India oversight.

Entry-level quality engineering role focused on learning and applying testing processes for traditional and agile projects. Deliver assigned work on time within a quality framework, collaborate with senior stakeholders, and complete small work items with guidance and some autonomy.

Lead architecture, design, and delivery of modern cloud data platforms and analytics solutions. Translate business requirements into secure, scalable data pipelines, guide implementation teams, support pre-sales, and contribute to practice IP, standards, and mentoring across distributed, client-facing engagements.

Lead and grow engineering teams building blockchain and Web3 products. Drive technical strategy, architecture, delivery, quality, hiring, mentoring, and engineering processes to ensure reliable product delivery and team scaling.

Lead and optimize the BU Create process for Broadband Devices, drive continuous improvement via a process improvement board, manage metrics and portfolio delivery, implement AI transformation and scaled Agile, mentor operations teams, and use Power BI, Jira, and Confluence for analysis and process management.

Lead design and delivery of end-to-end data engineering solutions for enterprise clients. Architect cloud data platforms (Snowflake, AWS, Azure, Databricks, GCP), build and optimize SQL and transformation pipelines (dbt), mentor and manage solution architects and data engineers, produce technical documentation and presentations, and ensure production performance, security, scalability, and successful client engagement.

Manage and support RedisDB production environments: cluster operations, node add/remove, capacity planning, installation, upgrades, Sentinel HA, performance tuning, monitoring, and troubleshooting. Create SOPs and operational manuals, gather asset information/architecture diagrams, and recommend service improvements. Collaborate with team and communicate effectively in English.

Lead and mentor software engineers to design, build, and maintain low-latency high-frequency trading systems. Collaborate with quants and traders to translate requirements, manage the SDLC, enforce high code quality and performance, drive optimization and scalability, and foster innovation while staying current on markets and regulations.

Lead and manage full‑stack engineering teams to design, build and deliver cloud-based microservices (MEAN/MERN) for mixed reality products. Drive architecture, quality, Agile delivery, mentoring, stakeholder collaboration, and accountability for product timelines and team growth.

Design, develop, and deploy scalable ML/AI solutions using Python and cloud platforms. Build and optimize models (CV, NLP, recommender systems), create end-to-end ML pipelines, deploy and monitor models on AWS, collaborate with cross-functional teams, write clean code and tests, and follow DevOps/CI-CD best practices.

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.

Participate in software development by writing, testing, and debugging code under guidance. Collaborate on projects, document requirements, troubleshoot issues, support emerging technologies, and engage in training and knowledge sharing.

Lead and develop a remote team of Python engineers, ensuring their growth and satisfaction while driving high-quality software delivery.

The Engineering Manager leads the Data Engineering team, overseeing the design of scalable data pipelines using AWS technologies, mentoring engineers, and collaborating with stakeholders on data-first initiatives.

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.

Manage and grow a 6-12 engineer team across frontend, backend, and platform. Own delivery processes, roadmap alignment, hiring, engineering best practices, incident response, and cross-functional leadership to deliver scalable fintech software.

As a Backend Engineer, you'll design scalable systems for live sports video streaming. Responsibilities include improving software reliability, developing APIs, and collaborating with cross-functional teams.

As a Consultant Level 2, you lead teams in delivering solutions for small to medium complexity projects, advising on both traditional and agile setups.

Lead and manage a test engineering team to define test scope, processes, automation, and resource allocation. Collaborate with product and development teams, communicate risks, oversee test system maintenance, mentor staff, and manage budgets to ensure product quality and readiness.

The Mechanical Designer will create 3D models and construction documents for MEP systems using Revit, ensuring compliance with building codes and collaborating with other disciplines.

Lead and grow a team of data engineers to design, build, and operate scalable Azure-based data platforms (ADLS, Databricks). Own data pipelines, governance, SLAs, observability, and cross-functional delivery to support BI, analytics, and ML workloads while improving engineering processes and platform reliability.