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)