Software Engineer III
JPMorgan Chase · Posted Oct 9
Global banking, investment, credit card, mortgage, and asset management services
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About the role
The role sits within JPMorganChase's Consumer & Commercial Banking technology organization, where agile teams design and deliver secure, stable, and scalable market-leading technology products. The work centers on data and ML engineering on AWS, building ETL/data pipelines and production ML systems. As a Software Engineer III, you will design, build, and maintain scalable Python and PySpark pipelines on AWS Glue and S3, ensure data quality and performance, and partner with upstream and downstream teams to deliver documented datasets and interfaces.
What you will do
- Design, build, and maintain scalable ETL/data pipelines using Python and PySpark on AWS Glue and S3.
- Ensure data quality, reliability, and performance via validation checks, monitoring, and Spark/Glue job optimization.
- Collaborate with upstream/downstream teams to gather requirements, troubleshoot issues, and deliver well-documented datasets/interfaces.
- Own end-to-end hands-on technical delivery (100%), following engineering standards; Java exposure is a plus.
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
- A reproducible training pipeline with automated validation and promotion to production.
- A low-latency inference service with monitoring, alerting, and drift detection.
- Infrastructure-as-code for ML environments with secure networking and least-privilege IAM
Skills used in this role
What the employer is looking for
- 3+ years (or equivalent) building and deploying ML systems in production.
- Strong programming skills in Python and solid software engineering fundamentals (APIs, testing, design patterns).
- Strong hands-on experience with Python and PySpark for building production-grade ETL pipelines.
- Hands-on AWS experience, including several of: S3, IAM, VPC, EC2, ECR, ECS/EKS, Lambda, CloudWatch, CloudFormation/Terraform.
- Experience with data processing tools (e.g., Spark, AWS Glue, Athena, EMR) and SQL.
- Practical knowledge of deploying/serving models (REST/gRPC), performance tuning, and monitoring.
- Solid knowledge of ETL concepts, data modeling basics, and handling large-scale batch/incremental processing.
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
Preferred qualifications
- Hands-on experience with AWS Glue (Jobs, Crawlers, Data Catalog) and Amazon S3.
- Strong SQL skills and experience implementing data quality / observability practices (reconciliations, validation checks, monitoring/alerting).
- Experience with CI/CD for data pipelines, Git-based workflows, and automated testing.
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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