Senior Lead Software Engineer – Databricks, PySpark & AWS
JPMorganChase
Get more replies from employers
Send a job-specific resume in minutes.
Job summary
JPMorganChase is seeking a Lead Software Engineer (Individual Contributor) to build scalable data and cloud solutions for regulatory model applications. The role centers on hands-on engineering with PySpark/Python on Databricks (DBX) and AWS, collaborating with cross-functional teams to design, implement, and support reliable systems.
The position emphasizes production-grade delivery, strong CS fundamentals, and effective communication in a dynamic environment, with opportunities to extend into
Qualifications
- 5+ years software engineering experience with strong CS fundamentals.
- Hands-on PySpark, Python, Databricks (DBX), and AWS experience.
- Experience building and operating production-grade systems.
- Strong communication skills in dynamic environments.
- Ability to work across cross-functional teams.
Responsibilities
- Design, develop, and deploy regulatory model applications and cloud modernization solutions.
- Build scalable distributed data processing solutions using PySpark/Python and Databricks (DBX).
- Implement secure, resilient AWS-based architectures and integration patterns.
- Write high-quality code, tests, and documentation; contribute to reviews and release readiness.
- Communicate architecture and delivery plans through clear technical documentation and tech decks.
- Partner with product, data, model, and platform teams to deliver outcomes on time.
Skills
Education
Tools
Job description
JPMorganChase is seeking a Lead Software Engineer (Individual Contributor) to build scalable data and cloud solutions for regulatory model applications. The role centers on hands-on engineering with PySpark/Python on Databricks (DBX) and AWS, collaborating with cross-functional teams to design, implement, and support reliable systems.
The position emphasizes production-grade delivery, strong CS fundamentals, and effective communication in a dynamic environment, with opportunities to extend into
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
