Lead Software Engineer - Java, Python preferred

JPMorgan Chase & Co.; Columbus (OH); On-site; USD 100,000 - 130,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead Software Engineer in Columbus, Ohio, to enhance engineering standards within Asset & Wealth Management. You will be responsible for developing secure services and APIs, collaborating closely with diverse teams to solve complex problems. Candidates should have over 5 years of experience with strong Java, SQL skills, and a deep understanding of Agile practices. This role involves mentoring, delivering high-quality code, and improving team performance through continuous feedback and improvements.

Qualifications

• 5+ years of hands-on experience in software engineering.
• Experience in application development and operational stability.
• Familiarity with data modeling and SQL.

Responsibilities

• Design and develop software solutions for client reporting.
• Mentor junior developers through collaboration.
• Deliver technology solutions as part of an Agile Scrum team.

Skills

Strong software engineering practices

Java skills

SQL skills

Agile engineering practices

CI/CD proficiency

Tools

Spring Boot

REST API

Amazon Web Services

Python

PySpark

Snowflake

Databricks

Job description

You will raise engineering standards through hands‑on development, thoughtful design, and mentorship that helps the team grow.

As a Lead Software Engineer at JPMorganChase within Asset & Wealth Management, you will build and evolve modern platform capabilities that help advisors, clients, and operations teams deliver outcomes with speed, safety, and reliability. You will own end‑to‑end delivery of secure services and APIs, partnering closely with product and engineering peers across regions to solve complex business and technical problems.

Job responsibilities

• Execute creative software solutions across design, development, and technical troubleshooting working as a senior developer individual contributor on a strategic client reporting and data platform.
• Engineer data pipelines, calculations, data distribution and reporting to be presented to Asset Management clients.
• Develop secure, high-quality production code, and mentor junior developers through code reviews, design sessions and knowledge sharing.
• Deliver technology solutions as part of an Agile Scrum team, contributing to sprint planning, complexity analysis, daily standups, and retrospectives to drive predictable outcomes.
• Partner with manager and Product Owner to use metrics to continuously improve practices to build a high performing team.
• Work directly with end users and Product Owners to communicate status, understand requirements, and ensure an understanding of how work aligns with business objectives.
• Collaborate with Scrum teams locally and across regions to share solutions, challenges, and best practices, improving consistency and delivery speed.
• Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability and service reliability.

Required qualifications, capabilities and skills

• Strong software engineering practices and 5+ years applied hands on experience.
• Track record of hands‑on practical experience delivering system design, application development, testing, and operational stability.
• Strong Java skills with demonstrated Spring Boot and REST API development experience.
• Applied knowledge in data modeling and strong SQL skills.
• Proficiency in automation and continuous delivery methods (CI/CD).
• Proficiency across the Software Development Life Cycle, from design through build, test, release, and support.
• Advanced understanding of Agile engineering practices including continuous integration and delivery, application resiliency, and security.
• Demonstrated proficiency in software applications and technical processes within a technical discipline (for example, cloud, artificial intelligence, machine learning, or mobile).

Preferred qualifications, capabilities and skills

• Experience building cloud‑native solutions on Amazon Web Services.
• Python knowledge or a desire to learn independently.
• Knowledge of data pipeline tools such as PySpark, Snowflake, or Databricks.
• Financial services knowledge, with an understanding of how technology enables Asset & Wealth Management products and client experiences.