Lead/ Senior Java Fullstack Engineer _ Mumbai
- Compensation
- Not disclosed
- Location
- India, Mumbai
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Fullstack
- Posted
Skills
Nice to have
- Background in financial services, investment management, or capital markets.
- Experience with Azure and Snowflake (or similar cloud/data platforms).
- Exposure to AI-powered or agentic application development.
- Experience working within large-scale enterprise or multi-vendor environments.
- Profile
- A proactive and accountable engineer who thrives in fast-paced environments, takes ownership of outcomes, and enjoys solving complex business and technology challenges. Candidates with an interest in
- Experience: 8-15 Years
- Primary Skills: Python, Core Java, React/Angular, APIs, Enterprise Application Development
- Preferred Skills: Azure, Snowflake, Financial Markets Domain, AI/Agentic Frameworks
- Role Level: Senior Software Engineer / Lead Software Engineer
- About Rackspace Technology
- Rackspace Technology is the trusted operator of the full enterprise AI stack, from governed private cloud to AI inference and agents in production. From edge to core to cloud, we operate the infrastru
- More on Rackspace Technology
- Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And w
Full description
Senior Software Engineer with 8+ years of experience to join the Investment Engineering team supporting front-office investment platforms. The role requires a hands-on, self-driven engineer who can independently own and deliver full-stack applications, system integrations, and strategic technology initiatives in a complex enterprise environment.
The ideal candidate will have strong expertise in Python, Java, and modern front-end frameworks (React, Angular, or equivalent), with proven experience designing, building, and supporting scalable applications. The role involves close collaboration with business stakeholders and technology teams to develop solutions across investment management, portfolio analytics, compliance, data platforms, and enterprise workflows.
Key Requirements
8+ years of software engineering experience.
Strong proficiency in Python and Java.
Full-stack development experience with React, Angular, or similar frameworks.
Experience building APIs, integrations, and data-driven applications.
Strong problem-solving, communication, and stakeholder management skills.
Ability to independently manage projects from design through deployment and production support.
Experience working in Agile delivery environments.
Preferred Qualifications
Background in financial services, investment management, or capital markets.
Experience with Azure and Snowflake (or similar cloud/data platforms).
Exposure to AI-powered or agentic application development.
Experience working within large-scale enterprise or multi-vendor environments.
Profile
A proactive and accountable engineer who thrives in fast-paced environments, takes ownership of outcomes, and enjoys solving complex business and technology challenges. Candidates with an interest in leveraging technology to improve investment operations and financial workflows will be particularly successful in this role.
Experience: 8-15 Years
Primary Skills: Python, Core Java, React/Angular, APIs, Enterprise Application Development
Preferred Skills: Azure, Snowflake, Financial Markets Domain, AI/Agentic Frameworks
Role Level: Senior Software Engineer / Lead Software Engineer
About Rackspace Technology
Rackspace Technology is the trusted operator of the full enterprise AI stack, from governed private cloud to AI inference and agents in production. From edge to core to cloud, we operate the infrastructure, data layer, and software integration to deliver business outcomes with the predictable cost, reliability, security, and compliance that regulated and mission-critical environments demand. We support customers in more than 120 countries with AI capabilities spanning private cloud, public cloud, applications, data and cyber resilience.