Lead Software Engineer - AI-Augmented Full Stack Development at JPMC Candidate Experience page

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

10 Jul, 26

Salary

0.0

Posted On

11 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, Full Stack Development, System Architecture, AI Coding Tools, Cloud Infrastructure, CI/CD Pipelines, API Design, Database Management, Python, Java, Next.js, React, Agile Methodologies, Automation, Security Practices, Technical Troubleshooting

Industry

Financial Services

Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within the Securities Services Technology team, you are 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. We're looking for a Engineer who understands the full developer stack and knows how to automate it. You'll leverage AI coding tools (Claude Code, Copilot) to accelerate delivery while maintaining deep knowledge of databases, authentication, CI/CD pipelines, cloud infrastructure, and system architecture. This isn't about memorized frameworks - it's about understanding how systems work and using AI to build them faster. You'll design and deliver trusted technology products in a secure, stable, and scalable way. You'll collaborate with data scientists, product managers, and business owners to solve real problems, making architectural decisions and leveraging AI tools for rapid execution. Job responsibilities * Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems * Develops secure high-quality production code, and reviews and debugs code written by others * Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems * Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture * Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies * Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills * Formal training or certification on software engineering concepts and 5+ years applied experience * Extensive Experience in building production software systems across the full stack * Deep understanding of system architecture: databases (relational/NoSQL), authentication/authorization, API design, cloud infrastructure (AWS/Azure), containerization, CI/CD pipelines * Hands-on experience with AI coding tools (Cursor, Claude Code, Copilot, or similar) - you know when they accelerate work and when human judgment is critical * Proficiency in modern languages and frameworks (we use Next.js, Javascript, Python, Java/Spring Boot, React, but care more about your ability to learn and deliver) * Experience evaluating and integrating AI/LLM capabilities into applications * Strong judgment about trade-offs: when to code vs. use low-code/orchestration tools, when to optimize vs. ship * Understanding of agile methodologies, application resiliency, and security practices * Ability to communicate technical decisions clearly to both technical and business stakeholders Preferred qualifications, capabilities, and skills * Experience architecting solutions where AI tools handle implementation while you focus on business logic and edge cases * Track record of rapid prototyping and iteration in ambiguous problem spaces * Knowledge of orchestration and automation platforms (n8n, Zapier, or similar) * Experience building with LLMs as development partners, not just API integrations JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs [https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about requesting an accommodation. J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Responsibilities

The Lead Software Engineer will design and deliver secure, scalable technology products while leveraging AI tools to accelerate development. They will collaborate with cross-functional teams to solve complex technical problems and drive architectural decisions.