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 JPMorgan Chase within the Corporate Technology, 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.

Job responsibilities

• Design, Develop and implement software solutions.

• Solve business problems through innovation and engineering practices.

• Engage in the full Software Development Life Cycle (SDLC), from requirements analysis through design, development, testing, and deployment.

• Incorporate architectural standards into application design specifications, translating technical requirements into programmed application modules, and developing and enhancing software application modules.

• Identify and troubleshooting application code-related issues.

• Take active role in code reviews to ensure solutions are aligned to predefined architectural specifications.

• Assist with Design reviews by recommending ways to incorporate requirements into designs and data flows.

• Perform development and DevOps in a distributed environment.

• Utilize AI agents and emerging technologies to build prototypes for demonstration purposes, presenting to peer groups, business partners, and senior leadership.

• Define standards, best practices, and governance guidelines for the ML Platform.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience

• Experience building Microservices using python, Docker, Jenkins, Python-Streamlit, SQL, JSON, Kubernetes, AWS EMR, AWS EC2, AWS RDBMS (Postgres, Oracle) , Apache Spark, Pyspark, Tensorflow

• Application architecture disciplines and technical design for financial applications.

• Experienced with pair programming agents such as GitHub Copilot to accelerate prototyping.

• Solid grasp of Agile SDLC, CI/CD, and security best practices

• Experience developing in large-scale corporate environments

• Excellent problem-solving skills and the ability to think critically and creatively

• Experience in mentoring and guiding junior engineers

Preferred qualifications, capabilities, and skills

• AWS Certified Solutions Architect certification

• Experience in MLOps and building model serving applications

• Experience with Agentic AI architecture and agents to solve business challenges

• Experience in observability and production management tools (ex. Splunk / Dynatrace / Grafana)