Senior Lead Software Engineer Data Platform Python or Java, big data
JPMorgan ChaseResponsibilities
- Provide technical guidance and direction to technical teams, contractors, vendors, and business stakeholders.
- Design, develop, operate, debug, and maintain scalable data platform services, backend systems, and large-scale data pipelines.
- Produce secure, high-quality production code and review code written by others.
- Drive decisions affecting data platform architecture, application functionality, technical operations, and engineering processes.
- Serve as a function-wide subject-matter expert in areas such as distributed data processing, data storage, and platform reliability.
- Lead enterprise adoption of AI-assisted engineering and SDLC automation practices across multiple teams.
- Establish governance, validation, security, resiliency, reuse, and measurable performance expectations for AI-assisted delivery practices.
- Advocate for firmwide software development frameworks, tools, and practices and influence adoption of leading-edge data and backend technologies.
Requirements
- Formal training or certification in software engineering concepts and 10+ years of applied experience.
- Hands-on experience with system design, application development, testing, and operational stability for data platforms and backend systems.
- Advanced proficiency in both Python and Java, with experience building APIs, services, and distributed systems.
- Strong big data and database experience, including Spark, Databricks, and/or Data Lake and large-scale data pipelines.
- Experience designing and operating ingestion, processing, storage, and access or serving layers for data platforms.
- Experience with AWS cloud computing, including services such as ECS, EKS, EMR, and Lambda.
- Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including governance, human-in-the-loop validation, quality gates, outcome measurement, and secure handling of sensitive inputs and outputs.
- Strong understanding of responsible AI use in engineering workflows, data sensitivity, resiliency, security, and control expectations.
- Advanced knowledge in one or more technical disciplines such as cloud, distributed data processing, artificial intelligence, or machine learning.
- Ability to independently solve design and functionality problems with little to no oversight.
- Experience developing, debugging, and maintaining code in a large corporate environment and collaborating with geographically distributed global teams.
- Preferred experience with AI, ML, Claude, MCP, data orchestration and workflow tools such as Airflow, and streaming technologies such as Kafka.
- Familiarity with Scrum, CI/CD, Applicant Resiliency, and Security.
Tech Stack
Categories
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.