Top Engineering Jobs in Mumbai

Leads the engineering strategy and delivery of AI-ready data products from requirements through production. Architects reusable pipelines, deployment standards, CI/CD, testing, observability, and DevSecOps practices. Partners with product owners and global commercial stakeholders to translate business needs into technical solutions. Builds and mentors an India-based AI data engineering team, establishes engineering standards, and oversees contractors and vendors.

Leads sales engineering activities for a cybersecurity platform, delivering technical presentations and demonstrations, configuring product installations and proof-of-value engagements, and advising prospects and customers. Partners with Product Management on technical requirements, trains Sales teams, supports competitive messaging, and serves as a technical bridge across customers, Sales, Marketing, Support, and Engineering. Requires significant endpoint or network security expertise, strong communication skills, and the ability to travel.

Leads software engineering, analytics, and AI capabilities for merchant payments. Owns Snowflake enablement, reusable architectures, governed data products, secure SDLC practices, reliability, observability, and production operations. Drives analytics and AI roadmaps tied to revenue, risk, fraud, efficiency, and customer outcomes. Leads multidisciplinary teams, hiring, coaching, budgets, governance, stakeholder engagement, and adoption of responsible agentic AI engineering practices.

Leads a team of full-stack engineers while setting technical strategy, architecture, and roadmaps for enterprise portfolio design platforms. Drives delivery of scalable Python and Angular or React applications, engineering best practices, operational resilience, and Agile execution. Leads adoption of applied and generative AI, including intelligent workflows, automation, responsible AI governance, and AI-assisted development. Partners with business and technology stakeholders, mentors technical leaders, and delivers innovative solutions that improve advisor engagement, productivity, and client experiences.

Build and maintain enterprise data pipelines, ELT processes, data models, reporting structures, and analytics solutions. Cleanse, deduplicate, normalize, and govern data across warehouses and data lakes, including Snowflake. Develop dashboards and business intelligence models, ensure data quality and compliance, apply business logic, and collaborate with technical and non-technical stakeholders to deliver accurate insights and improve operational performance.

Lead AI use-case discovery, design, prototyping and delivery. Partner with business leaders to frame outcomes, design architectures (RAG, LLMs, cloud AI), build MVPs using Python/APIs and low-code tools, and drive adoption with governance and responsible AI practices.

The role involves leading DevOps initiatives, ensuring reliability and risk management for enterprise-scale operations, and integrating AI-driven systems for optimization and resilience.

Lead global Portfolio Management Services Engineering to modernize Aladdin platforms for scale, resilience, and performance. Define technology strategy, drive architecture and delivery, build and develop engineering leadership, partner with product and investment teams, and ensure operational excellence across mission-critical portfolio management services.

Lead and grow an engineering team building backend automation for Sales, Customer Success, and Finance systems. Drive architecture, integrations, test automation, CI/CD, cloud-native delivery, and performance while collaborating with product and business stakeholders to deliver scalable, reliable revenue platform solutions.

Lead the technical direction, architecture, and delivery of custom software solutions with a focus on SAP Security. Establish development standards, ensure code quality and scalability, manage technical decisions, mitigate security risks, coordinate cross-functional teams, and mentor engineers while aligning solutions with business objectives.

Manage end-to-end technical recruitment for product, software engineering, platform, infrastructure, data, and AI/ML roles. Responsibilities include sourcing and screening candidates, building talent pipelines, partnering with hiring managers, coordinating interviews, managing offers, maintaining recruitment data, advising on market conditions, and supporting employer branding. The role requires strong understanding of technology organizations, technical sourcing expertise, stakeholder management, candidate engagement, and recruitment operations.

Leads and develops software engineering teams supporting enterprise software portfolios. Oversees hiring, talent development, performance management, staffing, project prioritization, delivery execution, engineering practices, and vendor relationships. Partners with technical and cross-functional leaders to deliver scalable applications, strengthen team capabilities, and improve software development processes.

Responsible for routine, preventive, and breakdown maintenance of mechanical equipment and infrastructure at a port terminal. Duties include fault diagnosis, inspections, corrective repairs, shift supervision, maintenance recordkeeping, contractor coordination, preventive maintenance scheduling, equipment availability optimization, safety compliance, and reporting unsafe conditions or abnormalities. Requires knowledge of engines, hydraulics, ropes, and gearboxes, along with oversight of generators, lifts, fire systems, and related terminal facilities.

Lead electrical maintenance and machine breakdown operations, including preventive and emergency maintenance, safety compliance, risk assessments, team delegation, equipment availability, and work-order closure. Monitor critical infrastructure such as fire pumps, substations, and air-conditioning units. Prepare shift MIS reports, manage emergency drills, approve spare-parts requisitions, conduct troubleshooting, and support Lean and Kaizen improvements.

Owns business-critical applications and platform capabilities end to end, leading architecture, hands-on Java and full-stack development, delivery quality, production stability, modernization, and operational maturity. Partners with global technology teams and business stakeholders, mentors engineers, drives engineering standards, resolves production issues, and evaluates new tools and architecture patterns. The role requires expertise in enterprise Java, microservices, cloud-ready applications, Kubernetes, security, databases, DevOps, testing, observability, and responsible AI-assisted development.

Lead design and evolution of packaged and SaaS applications, managing configuration, integrations, and releases. Establish platform standards for stability and performance, troubleshoot BI performance, and translate business needs into technical solutions. Collaborate across teams, make technical decisions, mentor team members, and drive best practices for data modeling, reporting, dashboards, and data integration.

Deploys, monitors, upgrades, and optimizes enterprise AI models across Azure. Builds MLOps pipelines using Azure ML and GitHub Actions, manages inference performance and costs, and implements secure, observable, governed, and auditable AI deployments with rollback and lifecycle controls.

Leads engineering teams building AI and generative AI SaaS platforms. Owns technical roadmaps, cloud architecture, scalability, security, CI/CD, and operational excellence while contributing targeted code and infrastructure improvements. Partners with product, data science, research, and operations teams to deliver reliable customer-facing systems. Responsibilities include hiring, coaching, architectural reviews, technical leadership, product-engineering alignment, and communicating AI trade-offs to clients and stakeholders.

Leads engineering operations across JLL’s India portfolio, overseeing critical incident management, vendor contracts, preventive maintenance, power-down events, ServiceNow and CMMS data quality, training, SOPs, staffing, equipment lifecycle planning, projects, energy optimization, inspections, audits, environmental monitoring, and compliance. Serves as the primary technical advisor for critical building systems and provides governance, reporting, quality assurance, and continuous-improvement leadership across locations.

Lead design, engineering and technical due diligence for greenfield and M&A solar projects. Conduct feasibility studies, PV system modeling and optimization, AC/DC design, cable sizing, earthing and SLDs. Oversee QA/QC, factory inspections, commissioning, O&M support, BESS integration, prepare technical documentation, manage multiple projects, and develop engineering teams.

Delivers quality engineering and testing solutions within traditional and agile environments. Works with growing independence on small- to medium-complexity engagements, completing assigned tasks while seeking senior guidance when needed. Contributes as an established member of the consultancy delivery model and continues developing practical quality engineering experience.

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.

Lead design and delivery of AI-powered NLP/LLM features and full-stack provider chat/voice workflows. Own end-to-end model lifecycle: data prep, experimentation, deployment, monitoring, APIs, MLOps, and on-call support. Implement responsible AI guardrails for PHI/PII, collaborate across product, security and platform teams, improve reliability, latency, test coverage, and mentor engineers.

Analyze business requirements, convert them into Ingenium code, debug business process flows, design system changes, and implement online and batch processing. Develop unit test plans and cases, participate in functional walkthroughs, create technical specifications, document modules and processes, and identify optimal solutions. The role requires Ingenium architecture and web services knowledge, coding expertise, technical documentation skills, and experience across Windows, Unix, and AIX platforms.

Design and develop sheet metal enclosures for power UPS applications, including 3D models, manufacturing drawings, prototypes, and design documentation. Collaborate with electrical and manufacturing teams, support pilot production and shopfloor issues, visit suppliers and plants, perform structural validation, optimize materials and costs, and ensure compliance with applicable standards.