
Software Engineer III
JPMorgan Chase · Posted Nov 4
Global banking, investment, credit card, mortgage, and asset management services
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About the role
The JPM - US Wealth Management Tech team builds trusted market-leading technology products in a secure, stable, and scalable way. This role focuses on ETL/data pipelines, backend microservices, and cloud infrastructure using PySpark, AWS, Java/Spring Boot, and Python. The engineer will design, build, and operate production data and backend systems, participate in reviews, and mentor junior engineers.
What you will do
- Design, build, and maintain production-grade ETL/data pipelines using PySpark, AWS Glue, and Apache Iceberg.
- Develop and operate backend microservices and APIs (Java/Spring Boot, Python).
- Write clean, well-tested, maintainable code with strong unit and integration test coverage.
- Build and manage infrastructure-as-code and CI/CD pipelines (Jenkins, Spinnaker, Terraform/CloudFormation).
- Optimize data workflows for performance, cost, and reliability. Collaborate with data engineers, analysts, and product stakeholders to translate requirements into robust solutions.
- Participate in design and code reviews; troubleshoot production issues and drive root-cause fixes. Mentor junior engineers and contribute to engineering best practices.
- Uses enterprise-authorized AI capabilities within the work environment to accelerate data pipeline/design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements.
- Applies reuse-first, AI-assisted practices to strengthen SDLC-quality routines for data pipelines (e.g., test generation and control validation), ensuring traceability/auditability and alignment to resiliency and security expectations.
Skills used in this role
What the employer is looking for
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).
- 5+ years of professional software engineering experience. Strong proficiency in at least one of Python or Java, plus solid software design fundamentals.
- Hands-on experience with AWS cloud services (S3, Glue, Lambda, IAM, RDS/Aurora). Experience building data pipelines and working with SQL and relational databases (e.g., PostgreSQL).
- Familiarity with distributed data processing (Spark) and data lake/table formats.
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity.
- Ability to review and validate AI-assisted outputs (e.g., query suggestions, test ideas, or model change summaries) before use, escalating when uncertain and following data handling requirements.
- Proficiency with Git-based workflows and CI/CD practices.
- Strong testing discipline (unit, integration) and debugging skills.
Preferred qualifications
- Experience building transactional lakehouse tables (e.g., Apache Iceberg/Delta/Hudi) and delivering large-scale financial/revenue analytics use cases on top of them.
- Experience with workflow orchestration and runtime packaging, including Apache Airflow and Docker for reliable, repeatable batch/ETL execution.
- Experience implementing CI/CD and infrastructure automation using Terraform plus pipeline/release tools such as Jenkins and Spinnaker.
Benefits and support
- Compensation and benefits are detailed in the job posting
About JPMorgan Chase
JPMorgan Chase & Co. is one of the oldest, largest, and most diversified financial services institutions in the world. Operating globally through the J.P. Morgan and Chase brands, the firm provides a comprehensive range of financial solutions including investment banking, consumer and commercial banking, transaction processing, and asset management. Serving millions of consumers and many of the world's most prominent corporate, institutional, and government clients, the company combines deep market expertise with extensive technological investments.
- Industry
- Banking
- Company size
- 320000+ employees
- Founded
- 1799
- Location
- New York, New York, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Chief Financial Officer
Chief Operating Officer
Global Chief Information Officer
CEO, Asset & Wealth Management
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