
at J.P. Morgan
Bulge Bracket Investment BanksPosted 4 days ago
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**Senior Lead Software Engineer - Java, AWS** at JPMorgan Chase in Mumbai. Lead agile teams in delivering secure, scalable tech products. Drive cross-functional initiatives architecting cloud-native solutions on AWS. Mentor senior engineers, influence stakeholders, and contribute to firm-wide frameworks. Requires expert Java, AWS, system design skills; 5+ years of experience. Strategic mindset, strong communication. Proficient in Spring Boot, microservices. Prefer Python, AI/ML, database experience. Keywords: Java, AWS, System Design, cloud native, strategic thinking, business impact.
- Compensation
- Not specified
- City
- Mumbai
- Country
- India
Currency: Not specified
Full Job Description
Location: Mumbai, Maharashtra, India
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Senior Lead Software Engineer - Java, AWS at JPMorgan Chase within the Commercial & Investment Bank - Securitized Products Group, you'll be an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities
- Drive large-scale, cross-functional initiatives from concept through delivery, architecting cloud-native solutions on AWS while remaining deeply engaged in system design, code-level decisions, and engineering best practices
You will mentor senior engineers, foster a culture of ownership and innovation, and partner closely with business and executive stakeholders to align technology investments with organizational priorities.
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Drives decisions that influence the product design, application functionality, and technical operations and processes
- Serves as a function-wide subject matter expert in one or more areas of focus
- Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
Influences peers and project decision-makers to consider the use and application of leading-edge technologies
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Expert-level proficiency in Java, AWS, and system design, with a proven ability to architect scalable, distributed solutions while leading cross-functional teams
- Expertise in the Java/JVM ecosystem including Spring Boot, microservices, and event-driven architectures will be central to shaping the platform's technical direction
- Be a Strategic thinker who can bridge deep technical expertise with business impact at the executive level.
- Strong communication skills, executive presence
- Experience in driving enterprise-wide technology programs across multiple teams, managing complexity and delivering measurable outcomes.
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced in one or more programming language(s)
- Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Ability to tackle design and functionality problems independently with little to no oversight
Practical cloud native experience
- Experience with Python, AI/ML, and databases is a plus.
- Beyond the core requirements in Java, AWS, and system design, we value additional depth in Python, AI/ML (including LLMs and generative AI), and relational and NoSQL databases.
- Mortgage industry domain knowledge including familiarity with loan origination, servicing, securitization, risk analytics, or regulatory frameworks would be a major plus
- Experience in financial services or regulated industries are highly valued.



