We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorganChase within the Consumer & Commercial Banking you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- 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
Required qualifications, skills, and capabilities
- 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.
Skills Required
- 3+ years building and deploying machine learning systems in production
- Strong programming skills in Python
- Solid software engineering fundamentals, including APIs, testing, and design patterns
- Hands-on experience with Python and PySpark for production-grade ETL pipelines
- Hands-on AWS experience with services such as S3, IAM, VPC, EC2, ECR, ECS/EKS, Lambda, CloudWatch, CloudFormation, or Terraform
- Experience with Spark, AWS Glue, Athena, EMR, and SQL
- Practical knowledge of model deployment and serving using REST or gRPC, performance tuning, and monitoring
- Knowledge of ETL concepts, data modeling, and large-scale batch or incremental processing
- Hands-on experience with enterprise-authorized AI-assisted software development tools
- Understanding of responsible AI use, data sensitivity, secure handling, resiliency, and security practices
- Ability to guide peers on safe and effective AI-assisted development
- Hands-on experience with AWS Glue Jobs, Crawlers, Data Catalog, and Amazon S3
- Strong SQL skills and experience with data quality and observability practices
- Experience with CI/CD, Git-based workflows, and automated testing
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
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Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
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Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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