JPMorgan Chase is seeking a Lead Software Engineer to join their Chief Data & Analytics Office (CDAO) team. This role offers an exciting opportunity to impact your career and push the limits of what's possible in software engineering.
The CDAO is responsible for accelerating the firm's data and analytics journey, ensuring data quality, integrity, and security, while leveraging this data to generate insights and drive decision-making. The team harnesses artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management.
As a Lead Software Engineer within the Corporate Chief Data & Analytics - AIML Data Platforms Team, you'll be an integral part of an agile team working to enhance, build, and deliver trusted market-leading technology products. You'll be responsible for designing and developing creative software solutions, conducting technical troubleshooting, and leading evaluation sessions with external vendors and internal teams.
The role requires expertise in Python, Golang, and Terraform HCL, along with strong experience in cloud native technologies and Kubernetes. You'll work with cutting-edge technologies in AI/ML platforms while contributing to the firm's technical innovation and growth.
Key responsibilities include developing secure high-quality production code, reviewing others' work, identifying automation opportunities, and leading communities of practice across Software Engineering. You'll also develop collaborative relationships with both local and remote development teams.
The position offers comprehensive benefits including health care coverage, retirement savings, tuition reimbursement, and mental health support. JPMorgan Chase values diversity and inclusion, making it an equal opportunity employer that accommodates various needs and backgrounds.
This is an excellent opportunity for an experienced software engineer looking to work with advanced technologies in a leading financial institution, while contributing to solutions that impact millions of customers globally. The role offers competitive compensation ranging from $152,000 to $215,000, based on experience and qualifications.