Top Engineering Jobs in Mumbai

Lead and develop a high-performing software engineering team building large-scale Marketplace discovery experiences across web, mobile, and orchestration platforms. Drive architecture, scalability, reliability, execution, experimentation, observability, CI/CD, and production issue resolution. Partner with Product, UX, Data Science, Analytics, and Business teams on strategy and roadmaps while fostering innovation, inclusion, ownership, and talent development.

Manage all engineering and maintenance operations for the property, including HVAC, refrigeration, plumbing, electrical and water systems. Oversee preventative maintenance, capital projects, budgets, regulatory compliance, safety, vendor contracts, inventory, and staff training to ensure guest satisfaction and facility integrity.

Lead the design, development, and delivery of backup, restore, replication, and continuous data protection capabilities. Architect storage-driver interfaces and storage-independent replication for reliable recovery across data centers. Mentor engineers and provide technical direction across engineering, QA, UI, and UX. Collaborate with Product and Support, troubleshoot distributed-system failures, lead root-cause analysis, and establish engineering practices for testing, automation, documentation, and operational readiness.

Provide L1/L2 support for Windows servers, virtual machines, endpoint management (SCCM, Intune), monitoring (SCOM), basic Azure resource support, patching, troubleshooting, and security/compliance remediation.

Design, build, test, and debug Ab Initio ETL graphs using GDE; manage Co>Operating System execution, EME metadata and lineage; implement parallelism, continuous flows, DML transformations, and transform components (Rollup, Join, Scan, Reformat); integrate real-time processing with messaging queues.

Lead and manage end-to-end engineering projects, mentor junior engineers, design and analyze complex systems, troubleshoot advanced technical issues, collaborate with cross-functional teams, and define engineering best practices and standards while staying current with industry trends.

Lead and grow a distributed Data Foundations team building data ingestion, quality, and cost-management for the data platform. Provide hands-on technical leadership and architecture (Kafka, Snowflake, Airflow), own monitoring/ops and on-call, drive data governance, collaborate with product and business stakeholders, and optimize cost and reliability.

Lead and scale the engineering organization for a regulated digital-asset custody platform. Own hiring, org design, engineering operations (on-call, incidents, release hygiene), delivery against roadmaps, audit and regulator readiness (SOC 2, SAMA, ISO 27001), and cross-functional alignment. Amplify an existing small, specialized team to meet regulatory and institutional requirements while preserving culture and retention.

Senior customer-facing Solutions Architect leading pre-sales discovery, design, and technical win strategy for networking, cybersecurity, SASE, Zero Trust, cloud, and managed services. Owns solution designs, BOMs, SOWs, executive briefings, and recurrent managed services business cases while mentoring junior staff and partnering with vendors to drive revenue and client retention.

Lead 1–2 engineering teams to deliver cloud-based healthcare applications. Oversee design, development, testing, deployment, and documentation. Drive Agile practices, hiring, career development, metrics, technical debt reduction, and collaboration with product, architects, and stakeholders to ensure high uptime, test coverage, and on-time delivery.

Lead global quality engineering and testing practices for AI-driven SaaS products, enhance automation, and ensure high-quality releases through effective strategies and collaboration.

Lead design and scaling of Reinforcement Learning Environments (RLE) and data pipelines, partnering with research, product, and ops to build reliable, observable, production systems that generate high-quality training and evaluation data.

The Ubuntu Engineering Lead will oversee and mentor teams, drive the development and delivery of high-quality software, and contribute to community engagement while managing technical roadmaps and cultivating engineering talent.

Lead and grow a cloud engineering team while owning Azure-based cloud architecture, IaC (Bicep/ARM/Terraform), reliability, observability, cost optimization, and CI/CD improvements. Drive platform modernization, high availability, incident response, cross-functional collaboration, and mentor engineers to increase autonomy and operational excellence across a global SaaS environment.

Build and ship AI-powered features for fashion, beauty, and home using large-scale product, image, and consumer data. Prototype with LLMs, agents, multimodal and CV models, run experiments, measure impact, and take models end-to-end from hypothesis to production while collaborating with product, design, and business teams.

Lead architecture and delivery of a composable, API-first Core Commerce Platform powering checkout, payments, OMS, inventory availability, loyalty, and post-order experiences. Drive integration of packaged solutions (SFCC, Fluent Commerce), payments, social and agentic commerce, and AI-native capabilities. Own SLAs, reliability, security (PCI-DSS), roadmap, and engineering standards while building and leading high-performing, on-site platform teams.

Manage end-to-end delivery of managed services focused on vulnerability remediation, SLA-driven outcomes, SDLC compliance, stakeholder communication, team ramp-up, and adoption of automation and AI to improve throughput and reduce risk.

Lead Identity & Access Engineering efforts: manage teams and incidents, drive authentication (SSO/MFA) platform design and automation, deploy secure scalable cloud infrastructure (AWS), oversee service transitions to BAU, and promote DevOps best practices.

Lead and manage India's Solutions Engineering team to design and deliver complex data center MEP/T solutions, support pre-sales for neocloud/enterprise customers, drive innovation, coordinate cross-functional teams, produce quotes and bills of materials, present solutions and lead facility tours, and ensure technical excellence and customer satisfaction.

Lead and scale engineering teams to deliver Java-based microservices and distributed platforms. Own architecture, release management, CI/CD, production support, incident management, and engineering governance while driving hiring, performance, and operational excellence.

Lead engineering projects, automation and digitization, new product qualification, and machine/process reliability. Manage budgets, timelines, root-cause troubleshooting, maintenance strategy, and integration of advanced manufacturing technologies. Mentor and develop engineering team, ensure safety and compliance, and coordinate with regional/global stakeholders to drive productivity and operational excellence.

Lead product quality across the SDLC by reducing defects, driving root-cause analysis, defining automation strategy and quality gates, building automated test frameworks (Playwright, API, integration, performance), integrating tests into CI/CD, enforcing release readiness, and using Claude Code and other AI tools to analyze issues and improve engineering outcomes.

Lead a software engineering team building omnichannel commerce services (inventory, delivery promise, integrations). Drive execution (OKRs, sprints, capacity, risk), engineering quality, metrics, AI-assisted practices, stakeholder collaboration, hiring, and vendor management to deliver reliable, scalable commerce capabilities.

Lead and grow a software engineering team building personalization, recommendation, and consumer intelligence services. Own delivery planning, OKRs, sprint execution, quality, CI/CD, experimentation adoption, metrics, vendor management, and coaching to drive reliable, data-driven consumer engagement experiences.

Lead platform engineering teams to execute platform strategy, roadmaps, and integration capabilities. Drive platform adoption, developer enablement, test automation, quality engineering, observability, AI-assisted tooling, and engineering productivity. Manage delivery planning, OKRs, sprints, capacity, dependencies, vendors, and stakeholder engagement while coaching and growing high-performing engineering teams.