Top Engineering Jobs in Mumbai

Lead enterprise AI transformation engagements through technical discovery, demonstrations, pilots, workshops, solution architecture, and adoption planning. Drive technical wins and pipeline for Microsoft 365 Copilot, Copilot Studio, Agents, and related Microsoft solutions. Translate business needs into secure, scalable architectures, remove technical blockers, support partner co-selling, maintain opportunity hygiene, and mentor engineers while influencing product and go-to-market strategy.

Manages India-region solution engineering activities supporting neocloud, enterprise, retail, and hyperscale data center sales. Leads a diverse engineering team, designs and presents customer solutions, prepares quotes, conducts facility tours, and provides technical direction across electrical, mechanical, liquid cooling, telecom, fiber, and security infrastructure. Partners across departments to deliver technically excellent, customer-focused solutions that maximize business and client value.

Leads engineering, technical due diligence, design, optimization, commissioning support, and operational troubleshooting for utility-scale solar projects. Oversees PV array and electrical system design, M&A technical reviews, compliance, quality inspections, performance testing, BESS hybrid evaluations, budgeting, technical standards, and engineering team development. Requires extensive multi-megawatt solar experience, leadership, project management, and knowledge of electrical design and grid integration.

Designs and delivers scalable AWS data platforms, including batch and streaming pipelines, SQL transformations, Python-based solutions, and efficient data models. Owns delivery through production support, performance tuning, cost optimization, capacity planning, troubleshooting, and compliance with security and reliability standards. Collaborates with architects, product owners, stakeholders, global teams, and clients to translate business requirements into technical solutions, provide estimates, evaluate trade-offs, and improve engineering practices.

Designs and delivers scalable AWS data platforms, including batch and streaming pipelines, SQL transformations, Python-based solutions, and efficient data models. Owns delivery through production support, performance tuning, cost optimization, capacity planning, troubleshooting, and security compliance. Collaborates with architects, product owners, clients, and global stakeholders to translate business needs into technical solutions, provide estimates, evaluate trade-offs, and promote engineering best practices.

Drive technical sales for Azure infrastructure and AI solutions by leading architecture workshops, demos, proofs of concept, migrations, and modernization initiatives. Design secure, scalable, resilient hybrid-cloud architectures; advise on networking, containers, enterprise applications, compliance, and Azure services. Partner with customers, engineering teams, and platform leaders to remove technical blockers, accelerate deployments, and communicate Microsoft’s cloud capabilities through technical forums and thought leadership.

Designs process mechanical systems for semiconductor and battery fabrication facilities, including exhaust, vacuum, compressed dry air, process cooling water, piping, ducting, and equipment layouts. Performs flow, hydraulic, and equipment sizing calculations; develops technical documentation; reviews vendor materials; coordinates multidisciplinary teams; ensures compliance with industry standards; and guides junior engineers. The role requires extensive FAB design experience, cleanroom knowledge, and proficiency with engineering and BIM software.

Leads the architecture, development, and delivery of cloud-native and generative AI solutions. Responsibilities include designing GCP and BigQuery platforms, building Python and FastAPI backend services, integrating OpenAI APIs and LLMs, mentoring engineering teams, conducting technical reviews, and overseeing software delivery, security, scalability, CI/CD, testing, and production support.

Delivers allocated automation engineering and quality-testing work independently across traditional and agile environments. Handles small- to medium-complexity assignments, meets timelines and quality standards, and seeks senior guidance when appropriate.

Develop, qualify, and sustain optical assembly processes for high-speed transceivers, photonic modules, optical engines, and communication systems. Responsibilities include fiber preparation, fusion splicing, routing, connector integration, optical alignment, packaging, measurement, reliability testing, process control, yield improvement, root cause analysis, NPI support, and transition to high-volume manufacturing.

Lead AI and machine learning engineering activities for customers, partners, and prospects. Advise on GenAI/ML solutions, architect end-to-end workflows from data ingestion through deployment, lead proofs of concept, support customer delivery, and manage and mentor a team of AI and machine learning engineers. The role also involves pre-sales support, consultative solution design, technical presentations, and stakeholder engagement.

Administer and support large-scale cloud and on-premises monitoring deployments across multiple providers. Maintain performance, availability, capacity, permissions, upgrades, and audit compliance. Integrate applications and infrastructure with enterprise monitoring instrumentation, document operational processes, collaborate with technical teams, and mentor colleagues on observability practices. The role requires expertise in monitoring platforms, application performance monitoring, synthetics, end-user experience, infrastructure monitoring, distributed tracing, cloud services, scripting, SQL, and multiple operating systems.

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.

Leads a 3–6-person AI-focused engineering team while contributing at least 50% directly to software development. Responsibilities include architecture, full-stack coding, code reviews, testing, documentation, mentoring, delivery, and collaboration with product, design, and QA teams. The role requires commercial LLM experience, strong C# and JavaScript development skills, knowledge of databases, REST APIs, microservices, cloud platforms, and software engineering management.

Lead a 10–15-person engineering team building agentic AI systems from the ground up. Set architecture strategy for planning, memory, tool use, multi-agent coordination, guardrails, observability, evaluations, reliability, and safety. Drive adoption of an AI-Driven Development Lifecycle, partner with product managers on ambiguous requirements, oversee delivery and technical reviews, and support hiring, mentorship, career growth, and leadership reporting.

Leads backend and platform engineering teams responsible for API-first product platforms and AI usage metering. Owns hiring, development, delivery, platform reliability, API governance, usage accounting, and operational excellence. Partners with Product, Platform, SRE, Finance, Revenue Operations, and Pricing on roadmaps, entitlements, quotas, billing integrations, and reporting. Guides architecture and technical direction while developing senior engineers and maintaining predictable outcomes across globally distributed teams.

Design and validate complex engineering simulation problems for training and evaluating AI models and coding agents. Develop Python-based simulation workflows, automated tests, reference solutions, and grading systems across electrical, mechanical, and aerospace domains. Analyze AI execution logs and failure modes, validate physical plausibility and numerical convergence, refine benchmarks, and collaborate with engineering and AI research teams. This remote contractor role requires approximately 40 hours weekly, Pacific Time overlap, and weekend on-call availability.

Leads scientific computing and research-engineering task development for AI training and evaluation in Earth Sciences. Reviews scientific content, datasets, and research questions; fact-checks sources; evaluates AI responses; creates annotations and analytical examples; and ensures technical and scientific quality. Requires independent problem-solving, strong U.S. English, research and communication skills, Linux and terminal-based computing familiarity, full-time availability, and an established Gemini account with qualifying conversation history.

Develop terminal-based Earth Sciences benchmark tasks for AI evaluation. Responsibilities include preparing scientific datasets, building reproducible computational environments, developing reference solutions, performing geospatial and numerical analysis, validating scientific outputs, creating automated tests, troubleshooting computational workflows, and documenting methods. The role requires a mandatory Earth Sciences PhD, strong scientific programming skills, Linux experience, and expertise in computational modeling and data analysis.

Develop, qualify, and sustain thermo-mechanical manufacturing processes for high-performance electronic and optical products. Responsibilities include mechanical assembly, thermal interface and heat sink integration, tooling and fixture development, warpage and dimensional analysis, metrology, GD&T, tolerance stack-ups, reliability testing, NPI support, root-cause investigations, and process optimization through high-volume manufacturing. The role collaborates with design teams and suppliers to implement DFM, DFA, and DFR principles and improve yield and product quality.

Oversee airport electrical maintenance and operations, including preventive maintenance, fault response, equipment testing, system upgrades, budgeting, safety compliance, and vendor coordination. Lead technicians and junior engineers, manage resources, optimize electrical system reliability and efficiency, maintain documentation, and ensure compliance with aviation standards including ICAO, IATA, and DGCA regulations.

Leads the global Engineering Standards & Safety function for mission-critical data centers. Establishes engineering standards, operating boundaries, asset-acceptance criteria, safety requirements, control and alarm philosophies, and technical risk-acceptance governance. Oversees multidisciplinary engineering teams, validates technical methods, collaborates with regional operations and construction stakeholders, monitors standards adoption, and escalates systemic risks. The role also manages resources, budgets, workforce planning, senior stakeholder communication, and global technical governance across electrical, mechanical, controls, fire, and life-safety disciplines.

Lead and grow an engineering team to design, build, and scale highly available, transactional web/backend systems. Architect solutions, drive roadmaps, set development best practices, mentor engineers, hire and evaluate talent, and coordinate delivery with product and design stakeholders in an Agile environment.

Leads the overall engineering function across multidisciplinary analysis, design, technical reviews, and project delivery. Provides strategic and technical leadership for civil, structural, mechanical, electrical, piping, cooling tower, NDCT, IDCT, and BOP infrastructure activities. Oversees engineering quality, standards compliance, complex issue resolution, client requirements, proposals, and feasibility studies. Builds team capability, mentors engineers, and drives standardization, innovation, and continuous improvement.

Lead 3–5 Salesforce developers while designing, developing, testing, and deploying scalable Salesforce solutions. Define architecture, data models, integrations, and technical approaches; troubleshoot production issues; enforce coding and architectural standards; and drive CI/CD, version control, packaging, and release processes. Partner with stakeholders and mentor developers across complex client environments.