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As a Lead Software Engineer at JPMorgan Chase, within the Commercial & Investment Banking – Data Analytics – Payments Technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
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 communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
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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
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Preferred qualifications, capabilities, and skills
- Experience with Agentic AI, LLMs, RAG architectures, vector databases, and embedding-based retrieval systems
- Hands-on familiarity with Internal Developer Portals such as Backstage — including service catalog management, software templating, and plugin 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 and 5+ years applied experience
- Hands-on experience with system design, application development, testing, and operational stability
- Professional experience in software engineering or data platform development
- Advanced proficiency in one or more programming languages: Python, Java, SQL
- Hands-on experience with distributed data processing frameworks such as Apache Spark and Apache Flink
- Experience designing and operating data pipelines on Databricks using orchestration tools such as Apache Airflow
- Experience with streaming and messaging technologies such as Apache Kafka
- Solid understanding of data modeling techniques (star schema, snowflake) and query optimization
- Proficiency with cloud data services (AWS S3, Glue, Redshift, Athena, EMR, Lake Formation or equivalent)
- Experience engineering production-grade data platforms on Kubernetes and integrating open data catalogs (Apache Iceberg, Unity Catalog, OpenMetadata)
- Advanced understanding of agile methodologies including CI/CD, application resiliency, and security practices
- Ability to develop secure, high-quality production code and perform code reviews
- Experience leading technical evaluations, architecture discussions, and communities of practice
- Experience with Agentic AI, LLMs, RAG architectures, vector databases, embedding retrieval systems
- Familiarity with Internal Developer Portals such as Backstage
- Experience with data mesh or data product architectures
- Proficiency with Infrastructure as Code (Terraform) and container tooling (Docker)
- Experience with data observability, quality, and metadata management tools
- Experience with semantic layers, metrics stores, or BI platforms (Tableau, 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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