Join us to shape the future of payments technology and regulatory reporting. You will have the opportunity to work with cutting-edge cloud platforms and data engineering tools, making a real impact on our business and your career growth. We value your expertise and encourage you to bring your ideas to a team that thrives on innovation and collaboration. At JPMorganChase, you will be part of a culture that supports diversity, inclusion, and continuous learning. Take the next step in your journey with us and help deliver trusted technology solutions.
As a Java Lead Software Engineer at JPMorganChase within the Payments Technology Regulatory Reporting team, you will design and deliver secure, scalable cloud technology products. You will collaborate with agile teams to create solutions that support our business objectives and drive continuous improvement. Your work will span multiple technical areas, allowing you to contribute to both team and firm-wide goals. You will help foster a culture of inclusion, respect, and opportunity while advancing your skills in a dynamic environment.
Job responsibilities
- Execute end-to-end software delivery including design, development, testing, deployment, and technical troubleshooting for Python-based services, batch jobs, and data pipelines
- Write secure, high-quality production Python code with attention to performance, reliability, readability, and testing discipline
- Produce design artifacts for complex workflows covering pipeline orchestration, processing logic, dependency and failure handling, and service-level objectives
- Gather, analyze, and synthesize data to produce reports, metrics, and visualizations that support business and operational insights
- Identify hidden problems and patterns in data and pipeline execution — including data quality issues, drift, anomalies, and bottlenecks — to drive system improvements
- Work individually or as part of a distributed agile team to deliver projects on time with strong ownership and accountability
- Contribute to engineering communities, improve internal libraries and utilities, and evaluate emerging technologies where appropriate
- Leverage enterprise-authorized AI-assisted software development tools to improve code quality, delivery speed, and productivity, while validating outputs through peer review, automated testing, and secure coding standards
- Apply 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
- Formal training or certification on software engineering concepts and advanced applied experience
- Hands-on experience in system design, Python application development, testing, and operational stability in production environments
- Strong proficiency in Python including data processing, APIs and services, and scripting and automation using common libraries and frameworks relevant to the role
- Experience with data engineering and analytics platforms such as PySpark, Databricks, Airflow, or similar orchestration tools
- Experience with relational databases and SQL; familiarity with NoSQL databases and data modeling concepts
- Knowledge across the data lifecycle including ingestion, validation, transformation, storage, governance and lineage considerations, and consumption patterns
- Ability to develop, debug, and maintain code in large enterprise environments with established controls and standards
- Solid understanding of the Software Development Life Cycle and agile methodologies
- Familiarity with continuous integration and delivery, application resiliency, security best practices, and observability and monitoring
- Hands-on experience using enterprise-authorized AI-assisted software development tools with demonstrated ability to critically evaluate and validate AI-generated outputs
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs and outputs, and adherence to resiliency and security expectations
Preferred qualifications, capabilities, and skills
- Exposure to cloud technologies including managed data platforms, streaming services, container orchestration, object storage, managed databases, and serverless compute
- Experience with streaming and event-driven systems in payments or financial services contexts
- Familiarity with payment regulatory reporting requirements and associated data workflows
Skills Required
- Formal training or certification in software engineering concepts and advanced applied experience
- Hands-on experience in system design, Python application development, testing, and production operational stability
- Strong proficiency in Python for data processing, APIs, services, scripting, and automation
- Experience with PySpark, Databricks, Airflow, or similar data engineering and orchestration platforms
- Experience with relational databases and SQL
- Familiarity with NoSQL databases and data modeling
- Knowledge of data ingestion, validation, transformation, storage, governance, lineage, and consumption
- Ability to develop, debug, and maintain code in large enterprise environments with established controls
- Understanding of software development life cycle and agile methodologies
- Familiarity with continuous integration and delivery, application resiliency, security, observability, and monitoring
- Hands-on experience using enterprise-authorized AI-assisted software development tools and validating generated outputs
- Understanding of responsible AI use, data sensitivity, secure handling, resiliency, and security expectations
- Exposure to cloud technologies, managed data platforms, streaming services, containers, object storage, managed databases, and serverless computing
- Experience with streaming and event-driven systems in payments or financial services
- Familiarity with payment regulatory reporting requirements and related data workflows
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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