Top Engineering Jobs in Mumbai

Leads Pfizer’s Analytics Gateway AI Engineering, Data Engineering, and BI teams of approximately 20 colleagues. Oversees AI-enabled analytics and agentic solutions from architecture and proof of concept through production, including Snowflake Cortex Agents, MLOps/LLMOps, data foundations, ETL, BI, governance, monitoring, and responsible AI. Manages direct reports, hiring, development, resource allocation, stakeholder alignment, and strategic delivery for global commercial analytics.

Leads multiple software engineering teams within Asset and Wealth Management, providing technical coaching, resource and budget oversight, and strategic delivery guidance. Establishes enterprise practices for AI-assisted engineering, SDLC automation, security, resiliency, validation, and reuse. Drives adoption of authorized AI tools, measures delivery outcomes, mitigates risks, collaborates with stakeholders, and develops engineering talent.

Leads the strategy, architecture, development, and operations of Ford’s AI security platform. Manages AI security engineers while contributing to system design, coding, automation, and technical decisions. Builds full-stack, cloud-native security services, APIs, dashboards, DevSecOps controls, observability, and AI threat protections. Owns roadmaps, security architecture, risk automation, compliance validation, and secure AI deployment across Azure, GCP, and AWS. Partners with AI, platform, and cybersecurity teams to deliver scalable security capabilities and develop a high-performing engineering organization.

Leads software engineering teams building COSMOS, a cloud-native global inventory platform on Java and GCP. Oversees product delivery, architecture, modernization from legacy mainframes, enterprise integrations, engineering practices, production support, and people development. Partners with business, architecture, cloud, cybersecurity, data, and DevOps teams to deliver scalable microservices integrated with SAP platforms. Drives Agile delivery, DevSecOps, technical decision-making, operational excellence, and adoption of modern engineering practices.

Lead and grow an ML engineering team to design, build, and operate a unified AI/ML data collection platform. Own data ingestion, feature management, LLM/RAG workflows, model lifecycle, evaluation, observability, scalability, governance, and cross-functional alignment while mentoring engineers and driving platform reliability and operational excellence.

Lead technical strategy and delivery for a unified Core Operations Platform supporting account onboarding, reconciliation, reporting and client servicing. Drive architecture, engineering best practices, AI/automation use cases, stakeholder partnerships, governance, and build a high-performing team to modernize operational workflows and data systems.

Lead the technical direction, architecture, design, development, and delivery of scalable enterprise software solutions. Build and maintain high-performance Java applications using collections, multithreading, networking, and object-oriented design principles. Participate in architecture and code reviews, troubleshoot complex issues, ensure coding standards and application reliability, collaborate with stakeholders and development teams, and drive continuous improvements in performance and scalability.

Leads the technical direction, architecture, design, development, and delivery of custom enterprise software solutions. Builds scalable Java and Spring Boot microservices, RESTful APIs, and database solutions; implements Jenkins CI/CD pipelines; and supports cloud, containerization, automation, performance, and reliability initiatives. Collaborates with architects, business analysts, QA, and other cross-functional teams while establishing development standards and ensuring code quality.

Leads the technical direction, architecture, design, development, and delivery of scalable enterprise software solutions. Develops high-performance Java applications using collections, multithreading, networking, and object-oriented design principles. Collaborates with stakeholders, architects, and development teams; participates in design reviews; troubleshoots complex issues; ensures coding standards, quality, performance, stability, and scalability; and supports continuous improvement initiatives.

Leads the technical direction, architecture, design, and delivery of custom software solutions. Establishes development standards, ensures code quality, scalability, performance, and mentors engineers. Coordinates with cross-functional teams, leads code reviews, resolves technical problems, and continuously improves development processes and product quality.

Lead technical direction and architecture for custom Java backend solutions. Design, develop, and maintain high-performance, scalable applications using Core Java (collections, multithreading, networking) and Spring Boot. Drive code quality, participate in architecture reviews, troubleshoot complex issues, collaborate with stakeholders, and support continuous improvement.

Leads the technical direction, architecture, design, and delivery of custom software solutions. Guides development teams, establishes coding standards, ensures scalability and performance, mentors engineers, coordinates cross-functional integration, monitors project progress, and drives improvements in software quality and delivery timelines.

Designs, develops, tests, and maintains SMART/400 and DIARY/400 applications. Responsibilities include software design, code reviews, database design, query optimization, performance tuning, production troubleshooting, requirements gathering, technical documentation, and continuous improvement.

Leads software and cloud engineering teams building scalable AI and generative AI SaaS products. Owns technical roadmaps, cloud architecture, distributed systems, microservices, CI/CD, infrastructure, reliability, and cost optimization. Partners with product, research, data science, and operations teams to deliver production-grade AI capabilities. Provides architectural leadership, contributes targeted code, develops engineering talent, and communicates technical trade-offs to clients and stakeholders.

Leads the technical direction, architecture, design, and delivery of custom software solutions using ServiceNow HRSD. Establishes development standards, ensures quality, scalability, and performance, manages technical teams, coordinates cross-functional integrations, resolves complex issues, mentors engineers, and drives continuous process improvement.

Leads the technical direction, architecture, design, and delivery of custom ServiceNow HRSD solutions. Establishes development standards, ensures code quality, scalability, performance, and high availability, and designs workflows and integrations. Manages technical decisions, coordinates cross-functional teams, mentors developers, resolves complex issues, and aligns software solutions with business objectives.

Leads the design, development, and delivery of scalable enterprise reporting and analytics applications using Java, Angular, and modern technologies. Architects systems, evaluates tools, delivers proof-of-concepts, promotes AI-assisted development, and drives automated testing and CI/CD. Mentors engineering teams, manages stakeholders, supports agile delivery, and champions innovation. The role requires extensive full-stack software engineering experience, finance or investment banking knowledge, cloud application expertise, and leadership of high-performing global teams.

Lead the technical direction, architecture, design, and delivery of custom ServiceNow HRSD solutions. Establish development standards, ensure code quality, scalability, performance, and high availability, and guide teams through implementation. Mentor engineers, coordinate cross-functional integrations, resolve complex technical issues, and contribute to decisions across multiple teams.

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.

Lead process optimization and business reengineering using LEAN and design thinking. Analyze current processes, propose and implement improvements, document procedures, manage risks and controls, liaise with technology teams, train stakeholders, and measure outcomes to ensure adoption and efficiency.

Lead hands-on verification engineering for high-performance networking products. Develop end-to-end functional, interoperability, scaling, and automation tests; create test strategies, plans, cases, and regression suites; participate in requirements reviews; execute testing, troubleshoot failures, and report progress while collaborating with distributed software and hardware teams.

Lead architectural design and modernization for an equity flow derivatives technology ecosystem. Build and maintain Java-based software solutions, collaborate with product owners and business stakeholders, solve complex technical problems, and improve technology platforms. The role requires hands-on development with Java, Java EE, microservices, REST, Spring Boot, reactive and event-driven architectures, databases, messaging, caching, and AI technologies. It also provides technical mentorship and leadership to a developer squad.

Leads the technical direction, architecture, design, and delivery of custom software solutions using Dassault Systemes 3DEXPERIENCE ENOVIA customization. Establishes coding and development standards, ensures quality, scalability, and performance, manages technical decisions, mentors engineers, coordinates cross-functional integration, and resolves complex technical challenges and risks.

Lead product strategy and lifecycle management for Cisco’s service provider mobility portfolio, including packet core, IoT, SaaS, Edge AI, and emerging 5G-to-6G technologies. Own roadmaps, product creation, capacity and release planning, customer requirements, business cases, strategic RFP support, and commercial licensing. Influence cross-functional teams and senior customer executives while aligning technology initiatives with measurable business outcomes.

Supports quality assurance for Salesforce Service Cloud applications by executing functional, regression, and integration tests; maintaining automation scripts; validating Salesforce components and integrations; preparing test data; documenting defects in Jira or Copado DevOps; and collaborating with development, business analysis, and product teams in an Agile environment.