We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Lead Software Engineer at JPMorgan Chase within the Data Platform team, you'll design and deliver scalable data pipelines, backend services, and infrastructure-as-code that support large-scale revenue and analytics processing.
Job responsibilities:
- 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. - 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
Required qualifications, capabilities, and skills
- 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.
- Proficiency with Git-based workflows and CI/CD practices.
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
- Strong testing discipline (unit, integration) and debugging skills.
- Background in financial, revenue, or large-scale analytics data domains.
Preferred Qualifications
- Experience with Apache Iceberg or similar transactional table formats.
- Experience with workflow orchestration (Airflow) and containerization (Docker).
- Experience with infrastructure-as-code and pipeline tooling (Jenkins, Spinnaker, Terraform).
Skills Required
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience
- 5+ years of professional software engineering experience
- Strong proficiency in Python or Java
- Strong software design fundamentals
- Hands-on experience with AWS services, including S3, Glue, Lambda, IAM, and RDS or Aurora
- Experience building data pipelines
- Experience working with SQL and relational databases such as PostgreSQL
- Familiarity with distributed data processing using Spark and data lake or table formats
- Proficiency with Git-based workflows and CI/CD practices
- Experience leading effective use of approved AI-assisted software development tools
- Ability to establish team expectations for validating AI outputs for correctness, performance, and security
- Understanding of responsible AI use in engineering workflows, including data sensitivity, secure input and output handling, resiliency, and security
- Experience coaching engineers on safe and compliant AI-assisted development adoption
- Strong unit and integration testing discipline
- Strong debugging skills
- Background in financial, revenue, or large-scale analytics data domains
- Experience with Apache Iceberg or similar transactional table formats
- Experience with workflow orchestration such as Airflow
- Experience with containerization such as Docker
- Experience with infrastructure-as-code and pipeline tooling such as Jenkins, Spinnaker, and Terraform
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 — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
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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