Software Engineer III-Databricks, Spark/PySpark, AWS
JPMorgan Chase · Posted Oct 12
Global banking, investment, credit card, mortgage, and asset management services
Get a personal compatibility score
Add a resume for personal matches
About the role
The Commercial & Investment Bank Payments Technology team at JPMorganChase designs and delivers market-leading technology products in a secure, stable, and scalable way, supporting critical technology solutions across multiple business functions. The role is centered on data and cloud engineering using Databricks, Spark/PySpark, and AWS, with strong Python, SQL, and production ETL/ELT work. As a Software Engineer III, you will build secure production code, produce architecture and design artifacts, and drive performance optimization and engineering standards within an agile team.
What you will do
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- 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.
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
Skills used in this role
What the employer is looking for
- Formal training or certification on software engineering concepts and 3+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability
- Strong hands-on expertise in Databricks and Spark/PySpark, including deep performance optimization experience.
- Strong hands-on experience with AWS cloud-native implementation (storage, compute, IAM/security, networking) and production engineering practices.
- Strong proficiency in Python and SQL, including advanced query design, optimization, and data validation.
- Proven experience building and managing data models and operating production-grade ETL/ELT systems.
- Demonstrated AI/ML experience (supporting model training/inference, feature engineering pipelines, or MLOps practices).
- Proven leadership/SME capability: mentoring, driving engineering standards, and making sound technical decisions based on business needs.
- 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.
- Overall knowledge of the Software Development Life Cycle
Preferred qualifications
- Familiarity with modern front-end technologies
- Exposure to cloud technologies
- Experience with Delta Lake, Unity Catalog, Structured Streaming, and orchestration tools (e.g., Airflow)
- Familiarity with MLflow, feature stores, model serving, or LLM/GenAI-enabled applications
- Experience with IaC (Terraform/CloudFormation), Docker/Kubernetes, and monitoring/logging toolsets
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
Recent coverage
GuruFocus
JPMorgan Chase CEO Warns of AI Cybersecurity Risks as JPM Retains Top AI Bank Ranking2026-10-06
Zacks Investment Research
JPMorgan Chase & Co. (JPM) Reports Next Week: Wall Street Expects Earnings Growth2026-10-06
JPMorgan Chase Newsroom
Ford Motor Company, JPMorganChase, State of Michigan, Michigan Central and Newlab launch Michigan LIFT2026-09-29
JPMorgan Chase Newsroom
JPMorganChase expands DFW presence with new Collin County office2026-08-27
JPMorgan Chase Newsroom
JPMorganChase doubles down on housing, aiming to deploy $750 billion through 20352026-08-03