Top Engineering Jobs in Mumbai

The Engineering Manager will oversee the Wallet division, grow the Wallets business, manage a team, ensure quality, collaborate with stakeholders, and promote best practices.

The Engineering Manager will lead backend development, managing cross-functional teams, and designing scalable financial platforms, APIs, and services.

As a Data Engineering Manager, you'll lead the design and development of secure platforms, manage cross-functional teams, and optimize software infrastructure for seamless transactions.

Manage and lead backend engineering efforts, focusing on designing and maintaining scalable APIs and systems while collaborating with cross-functional teams to optimize user experiences.

Lead backend engineering efforts, design and optimize secure software infrastructure, collaborate with cross-functional teams to enhance user experiences.

As the Manager of BI, you will lead data engineering teams, design data pipelines, manage large datasets, and ensure data quality while collaborating with business stakeholders.

Assist in creating and executing test cases, documenting results, collaborating with teams, and optionally supporting test automation efforts.

The Analyst II improves end-user computing reliability, security, and usability, collaborating with IT to implement solutions and manage endpoints.

Lead the design and development of scalable backend systems on AWS. Mentor engineers, drive technical initiatives, and ensure high-quality software delivery.

The Engineering Manager will develop scalable systems, mentor a top-notch engineering team, and establish best practices for product development, ensuring effective collaboration with stakeholders in an agile environment.

Manage the Flex Billing & Backend team, ensuring successful delivery of customer experiences by leading software engineers, advocating agile practices, and operating scalable systems.

Develop and maintain software using Golang, design systems, perform testing, and collaborate with teams to ensure CI/CD workflows are effective.

Lead the AI engineering team to develop and implement AI solutions, mentoring staff, collaborating with business units, and promoting AI adoption.

Assist in developing AI solutions for financial planning, working on projects involving data structures, algorithms, and integrating AI features into the platform.

Manage a team of Solutions Architects focusing on enterprise and strategic customers, enhancing team effectiveness and promoting data-driven solutions.

The role involves engineering Azure infrastructure solutions, leading projects, and collaborating with development teams while ensuring effective communication with clients.

Lead a team of deliverability engineers, manage email traffic, develop optimization strategies, oversee client services, and track performance metrics.

Lead and develop a global Site Reliability Engineering (SRE) team, ensuring system reliability and performance while driving strategic initiatives and fostering collaboration.

The Manager, Software Engineering is responsible for mentoring engineers, driving software development, and fostering a culture of trust and continuous improvement within teams.

Lead a team to develop AI safety tools and platforms, ensuring responsible innovation and collaboration with customers. Mentor staff and guide projects in AI safety methodologies.

The Engineering Manager will lead a development team, define technical strategies, ensure architectural standards, contribute hands-on, promote efficiency, and develop talent within a cross-functional collaborative environment.

Lead the technical roadmap for insurer integrations, manage a team, design scalable systems, and collaborate with stakeholders to optimize workflows.

The Engineering Manager will develop team skills, manage projects, write code, ensure agile practices, and support team members' growth.

Netskope seeks a Staff Engineer to enhance engineering productivity through CI/CD systems, design tools, mentor teams, and ensure reliable infrastructure.

Manage end-to-end delivery of data engineering projects, coordinating teams and stakeholders, while ensuring adherence to best practices and timelines.