Principal Software Engineer - Databricks
JPMorgan ChaseResponsibilities
- Create complex, scalable coding frameworks and durable reusable software frameworks for use across teams and functions.
- Develop, review, debug, and deliver secure, high-quality production code.
- Architect and govern agentic AI-enabled engineering workflows for code review, testing, release readiness, incident triage, and root-cause acceleration.
- Define guardrails for validation, security, resiliency, auditability, traceability, sensitive-data handling, and reuse in AI-enabled engineering practices.
- Use software development lifecycle tools and enterprise-authorized AI-assisted automation to improve delivery outcomes at scale.
- Advise cross-functional teams and serve as the subject matter expert for the function.
- Influence senior stakeholders across business, product, and technology organizations while managing multiple portfolios and competing priorities.
- Develop technical methods and lead adoption of responsible, scalable engineering practices.
Requirements
- 10+ years of experience, or equivalent expertise, leading technology organizations and delivering complex enterprise-scale programs.
- Enterprise-grade proficiency in Python and associated software development lifecycle processes.
- Proficiency provisioning AWS infrastructure with Terraform and hands-on experience with AWS networking boundaries, resource and IAM policies, cross-account and cross-region access, and compute at scale.
- Executive-level ability to influence and align senior business, product, and technology leaders.
- Deep enterprise Databricks expertise spanning architecture, performance tuning, cost management, security patterns, and operational excellence.
- Experience designing and leading adoption of agentic AI-enabled development practices with human-in-the-loop validation, auditability, traceability, and secure sensitive-data handling.
- Strong understanding of responsible AI controls, security and resiliency implications, data sensitivity, and risk-based governance.
- Preferred: knowledge of global data governance, privacy, regulatory requirements, data lakes, data warehouses, lakehouse architectures, and distributed computing frameworks.
- Preferred: experience with enterprise metadata, catalog, and lineage platforms, data contracts, and schema governance.
Benefits
- Competitive total rewards and benefits package, with benefits determined by eligibility.
- Comprehensive health care coverage and on-site health and wellness centers.
- Retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.
- Eligible roles may include discretionary incentive compensation or commission-based pay and/or forfeitable equity.
- Equal opportunity employer with reasonable accommodation support.
About JPMorgan Chase
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. We serve millions of customers and many of the world’s most prominent corporate, institutional, and government clients daily, managing assets and investments, offering business advice and strategies, and providing innovative banking solutions and services. Social Media Terms and Conditions: https://bit.ly/JPMCSocialTerms JPMorgan Chase & Co. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.