We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorgan Chase, within the Commercial & Investment Banking's Payments Technology team to build a Data & AI Platform powering analytics and automation at scale. You’ll design and implement modern data pipelines and platform capabilities on a cutting-edge stack, backed by strong governance across catalog, lineage, and data quality. You’ll lead an Agentic AI initiative to automate and optimize platform engineering and architecture, partnering with product and analytics teams to deliver production-grade solutions.
Job responsibilities
Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Designs, builds, and maintains scalable data pipelines and ETL/ELT workflows for batch and real-time processing using Spark, Airflow, Kafka, and Flink
Develops data platform components including data cataloging, data quality frameworks, and semantic/metrics layers with embedded governance, lineage, and compliance standards
Implements data modeling strategies (fact and dimensional, wide tables) to support analytics, reporting, and downstream consumption
Partners with analytics teams, product managers, and business stakeholders to translate data requirements into production-grade solutions
Develops secure high-quality production code, and reviews and debugs code written by others
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
Leads development of the Agentic Autonomous Lakehouse capability - automating governed self-service pipeline provisioning and lakehouse operations (health/cost/performance analysis, best-practice enforcement)
Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years of applied experience
Hands-on practical experience delivering system design, application development, testing, and operational stability
Demonstrated professional experience focused on software engineering or data platform development
Advanced in one or more programming languages(s); Python, Java and SQL
Hands-on experience with distributed data processing frameworks such as Apache Spark and Flink
Solid understanding of data modeling techniques (star schema, snowflake) and query optimization
Experience designing and operating data pipelines on Databricks using orchestration tools such as Apache Airflow
Proficiency with cloud data services (AWS S3, Glue, Redshift, Athena, EMR, Lake Formation, or equivalent)
Experience engineering production-grade data platforms on Kubernetes with open catalog integration (e.g., Apache Iceberg, Unity Catalog, OpenMetadata) for scalable data discovery, lineage, and governance.
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Experience developing Agentic AI, LLMs, RAG architectures, MCP, vector databases, and embedding-based retrieval systems
Preferred qualifications, capabilities, and skills
Hands-on familiarity with Data Platform and transformation framework development
Experience with data mesh or data product architectures
Proficiency with Infrastructure as Code (Terraform) and containerized deployments (Docker, Kubernetes)
Experience with data observability, quality, and metadata management tools
Experience with semantic layers, metrics stores, or BI platforms (Tableau, dbt Metrics)
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Skills Required
- Formal training or certification in software engineering concepts and 5+ years of applied experience
- Experience delivering system design, application development, testing, and operational stability
- Professional experience in software engineering or data platform development
- Advanced proficiency in Python, Java, and SQL
- Experience with Apache Spark and Apache Flink
- Understanding of star schema, snowflake schema, and query optimization
- Experience designing and operating Databricks data pipelines with Apache Airflow
- Proficiency with cloud data services such as AWS S3, Glue, Redshift, Athena, EMR, or Lake Formation
- Experience engineering production-grade data platforms on Kubernetes with open catalog integration such as Apache Iceberg, Unity Catalog, or OpenMetadata
- Advanced understanding of agile methodologies, CI/CD, application resiliency, and security
- Experience developing Agentic AI, LLMs, RAG architectures, MCP, vector databases, and embedding-based retrieval systems
- Familiarity with data platform and transformation framework development
- Experience with data mesh or data product architectures
- Proficiency with Terraform and containerized deployments using Docker and Kubernetes
- Experience with data observability, quality, and metadata management tools
- Experience with semantic layers, metrics stores, or BI platforms such as Tableau or dbt Metrics
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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