Top Engineering Jobs in Mumbai

Lead end-to-end engineering delivery of DecisionIQ: design, integrate, deploy and monitor AI/ML features; establish CI/CD, observability, and DevSecOps; partner with product and stakeholders; and build and mentor a high-performing India-based engineering team to deliver production-grade AI products.

Lead complex AI data engineering projects to design, build, and manage relational databases and AI-ready data products. Collaborate across digital teams to run POCs, embed algorithms into production applications, and ensure robust data modeling, metadata management, and transformation pipelines for pharmaceutical clinical and scientific data.

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 and mentor a multidisciplinary engineering and data science team to design, build, and operate scalable data collection pipelines and AI/ML systems. Provide technical oversight on NLP, LLMs, generative AI, MLOps, and unstructured data processing. Collaborate cross-functionally to align solutions with business goals, ensure system reliability, security, and compliance, and drive hiring and process improvements.

Lead enterprise data governance engineering programs across the firm. Manage roadmap and operating model for privacy-centric initiatives (consent, retention, cross-border transfer), oversee engineering delivery, KPIs, dashboards, and executive reporting. Drive adoption of cloud-native data platforms (AWS, Databricks, Snowflake), metadata/catalog/lineage, schema governance, and agentic AI-enabled engineering operating models while establishing governance, security, and reuse-first strategies.

Lead the development of AI-powered customer support solutions, guiding a team to build scalable, reliable, and secure systems using LLMs and third-party integrations.

Manage Offsite and Concurrent audits for various departments, ensuring compliance and effectiveness of processes while tracking issues and providing improvements.

Lead and grow Cloudflare's India Customer Engineering team as a technical people leader. Provide hands-on architecture and escalation support, drive regional technical strategy, partner with sales to close deals, run operating cadence for pipeline and adoption, hire and coach CE talent, and surface product and competitive feedback.

Lead a global Quality Assurance & Testing organization to define and execute scalable quality strategy, automation-first validation, data-driven measurement, and independent end-to-end testing. Build quality measurement capabilities, drive AI-enabled testing and predictive quality models, partner with Product and Engineering to influence releases, and grow multidisciplinary teams to improve release confidence and customer-facing quality outcomes.

The Senior Account Manager drives AVEVA's growth in the EPC sector, managing strategic accounts, executing account strategies, and fostering relationships with key stakeholders to achieve sales objectives.

The Quantitative Modeler will join the Portfolio Risk Modeling team to build and maintain risk models, ensuring model governance and collaborating with stakeholders on performance and analytics.

Lead AI/ML engineering vision and roadmap for healthcare and life sciences. Oversee multiple client engagements, design and deploy scalable production-grade AI solutions (ML, NLP, deep learning, computer vision, LLMs), ensure regulatory readiness, responsible AI practices, and drive adoption and value realization while managing executive client relationships and expanding AI adoption.

We are seeking a Mid-level or Senior DevOps Engineer to design, implement, and improve CI/CD systems, ensure reliable software delivery, and collaborate across teams to enhance system performance and maintainability.

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

Lead architecture and modernization of Fund Services components; design and build Liquidity and Redemption solutions with product owners; act as hands-on engineer solving complex problems; mentor and lead a squad; coordinate across offshore teams, infrastructure, vendors, and support.

Lead technical direction and architecture for custom software solutions, manage and mentor development teams, enforce coding standards and reviews, ensure scalability and performance, coordinate cross-functional delivery, and drive continuous improvement.

Lead design and delivery of automated test frameworks using Playwright and Java/JavaScript/TypeScript. Build and run automated suites, integrate tests into CI/CD, log and track defects, collaborate with cross-functional teams, ensure test coverage, and mentor junior testers to improve automation reliability and performance.

Lead design and delivery of custom automated testing solutions using Playwright. Develop and maintain automation frameworks (Java/JavaScript/TypeScript), execute functional and regression suites, integrate tests with CI/CD, track defects in JIRA, collaborate with cross-functional teams, and mentor junior testers to ensure scalable, high-quality test coverage and performance.

Lead and mentor an engineering team to design, build, and scale highly available, transactional web and desktop systems. Architect solutions, improve development lifecycle, deliver roadmaps, manage stakeholders in Agile, conduct performance evaluations, and hire and grow the organization.

Lead design and development of market risk Java applications using Spring Boot and microservices. Collaborate with global Agile squads, implement DevOps practices, optimize relational database usage, write unit tests, script automations, and introduce tooling including AI-driven automation to meet regulatory and risk-management needs.

Lead architecture and modernization of Fund Services components, design domain solutions with product owners, act as hands-on engineer solving complex problems, mentor a squad of developers, and coordinate across offshore, infrastructure, vendor, and support teams. Apply Java, microservices, AI, and strong SQL skills.

Lead technical direction and architecture for custom integration solutions, guide teams through design and delivery, set development standards, ensure code quality, scalability and performance, troubleshoot complex integration issues, mentor team members, and collaborate with cross-functional stakeholders to optimize delivery.

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.