Job Description

You’re ready to deepen your skills, make an impact, and accelerate your career—and we have the ideal software engineering opportunity for you.

As a Sr. Lead Engineer (SVP) at JPMorgan Chase within the CCB and Community Banking organization’s Acquisition Enablement Platform, you will join an agile team that designs, builds, and delivers secure, stable, and scalable software for the firm’s state‑of‑the‑art products. In this role, you will implement high standards and Innovation, software platforms and migration, and AI based solution generations with faster productivity with empowerment with multiple technologies and applications, deep problem solving.

Job responsibilities

• Hands on ownership of engineering deliverables, estimates, on-time completion of platform capabilities leveraging AI and Test supported newer methodologies. Less team more impact is the way of thinking.
• Thought leadership, directional thinking and developing solutions as platformized multi tenant components, both on dev and test side., with security baked in.
• 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

• 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

• Adds to the team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• 15 to 18 years of strong experience in Java, platform engineering, AWS, systems & solutions design, proficiency matching to frameworks/cloud design patterns developed/ test harness development, SQL/NoSQL database design, migrations Thought leadership in engineering and engineering operations excellence in SRE & Observability, high level design, and Low-level design reviews, code reviews, test case reviews messaging systems expertise, live application/data migrations, high scale, and production support from product and platform organizations. Migration of services, APIs, systems, databases in live production. Data and metrics based results and outcomes.
• AI agents creations, Skills, RAG with MCP, Context engineering, Automated generation of full stack/backend java code/APIs, designs, code, database, test cases, and assembling solutions in real time shortening the SDLC to significantly lesser timelines and lesser man power, using prompt engineering with LLM tools such as Gemini, Claude, CoPilot and assembling solution to result in production grade services/APIs using coding and performance best practices.
• Platform engineering experience with production support of microservices focused on key performance metrics, Self-Service feature creation, Observability, and SRE experience. Secure Development life cycle, complete service ownership in DevOps model. CI/CD tooling, Static and Dynamic Code review tools usage such as SonarQube, CheckMarx. Java 17+ Spring, Spring boot, Spring Cloud microservices.
• QA/Test automation writing automated unit tests, functional tests, and end‑to‑end test automation various testing tools and frameworks such as PlayWright, Selenium, java and RPA tools. Metrics based product feature delivery for functional and non-functional requirements.
• Kafka, Rest APIs, Splunk, Dynatrace, strong SQL, NoSQL Database such as Cassandra, React based front end UI development.
• Thought leadership, Insist on High Standards, Simplify and Invent, Do the Right Things, Disagree and Commit, Earn Trust, Bias for action, Customer focus, Learn and curiosity, Mentoring, Deep Dive, Ownership, Deliver Results, Positive mindset/attitude, team working, consensus building, excellent written and oral communication skills.
• Leading small teams, but influencing broader divisions with tech assets created, owning estimations & timelines, excellent culture with diversity, equity, inclusion and respect