As a Lead Software Engineer Data Platform & Entitlements at JPMorganChase within the Commercial and Investment Bank, 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 breakdown technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- 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
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Formal training or certification on software engineering concepts and 5+ years applied experience (
- Strong knowledge and practical experience with Java, Spring Framework (Spring Boot, Spring MVC, Spring Data), RESTful APIs, Microservices architectures, and event streaming (Kafka)
- 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
- Practical knowledge of CI/CD, Jenkins, and source code management tools such as Git and Bitbucket
- Proficiency in designing and implementing data models for relational databases.
- Experience working on Cloud platforms for compute and storage needs (AWS/GCP/Azure)
- In-depth knowledge of the financial services industry and their IT systems
- Practical cloud native experience
- Experience with modern data platforms / data product engineering such as Databricks– Data Mesh, Unity Catalog, Lake house, Delta, Iceberg
- Hands-on experience with Spark and big data processing at scale
- Experience with Identity and Access Management platforms, role-based access control, or entitlement governance at scale
- Familiarity with authorization models – RBAC, ABAC, ReBAC, Policy and Authorization Engines, Propagation patterns – inheritance hierarchies, group level grants, row/column level security
- Exposure to IAM Concepts – SCIM, SSO/OIDC/SAML, service principals and how they map to data-layer permissions.
- Experience with LLMs, AI/ML platforms, or enterprise AI integration.
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
- At least 5 years of applied software engineering experience
- Strong practical experience with Java, Spring Framework, Spring Boot, Spring MVC, Spring Data, RESTful APIs, microservices architectures, and Kafka event streaming
- Experience leading approved AI-assisted software development practices, including validation for correctness, performance, and security
- Understanding of responsible AI use, data sensitivity, secure handling of inputs and outputs, resiliency, and security expectations
- Experience coaching engineers on safe and compliant AI-assisted engineering adoption
- Practical knowledge of CI/CD, Jenkins, Git, and Bitbucket
- Proficiency designing and implementing relational database data models
- Experience using cloud platforms for compute and storage, including AWS, GCP, or Azure
- In-depth knowledge of the financial services industry and its IT systems
- Practical cloud-native experience
- Experience with modern data platforms or data product engineering, including Databricks, Data Mesh, Unity Catalog, Lakehouse, Delta, or Iceberg
- Hands-on experience with Spark and large-scale data processing
- Experience with identity and access management platforms, role-based access control, or entitlement governance at scale
- Familiarity with RBAC, ABAC, ReBAC, policy and authorization engines, inheritance hierarchies, group-level grants, and row or column-level security
- Exposure to SCIM, SSO, OIDC, SAML, service principals, and data-layer permission mapping
- Experience with LLMs, AI/ML platforms, or enterprise AI integration
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.
-
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.
-
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.
-
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.
Gallery
