You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.
As a Lead Software Engineer at JPMorgan Chase, within the Employee Platforms, Workforce Experience Tech team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.
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
- Develops secure and high-quality production code, and reviews and debugs code written by others
- 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.
- 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
- Formal training or certification in software engineering concepts and 5+ years of applied experience.
- Hands-on experience in system design, application development, testing, and operational stability.
- Hands-on experience designing, developing, and operating ETL/ELT data pipelines using Python, SQL, and distributed data-processing technologies.
- Strong understanding of data warehousing concepts, including dimensional modeling, star and snowflake schemas, slowly changing dimensions, partitioning, and query optimization.
- Experience developing production data solutions with Databricks, Apache Spark or PySpark, Delta Lake, Lakeflow pipelines, Lakeflow Jobs, and lakehouse architecture.
- Knowledge of data governance, lineage, access controls, schema management, data quality, and production monitoring.
- Experience integrating data from relational databases, APIs, files, message streams, and cloud-based storage platforms.
- Experience developing, debugging, and maintaining code in a large corporate environment using one or more modern programming languages and database query languages.
- 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.
- Strong knowledge of the Software Development Life Cycle (SDLC), Agile delivery methodologies, CI/CD practices, application resiliency, and secure software development principles.
Preferred qualifications, capabilities, and skills
- Experience with AI-powered coding assistants such as GitHub Copilot and Claude Code.
- Familiarity with prompt engineering, embeddings, and RAG pipelines.
- Experience building operational copilots or chatbots for runbooks or troubleshooting.
- Proficiency in Python (Go is a plus).
- Experience with Databricks Unity Catalog, Structured Streaming, data governance, and performance optimization.
- Familiarity with cloud data platforms and infrastructure-as-code or deployment automation for data workloads.
- Databricks certification or equivalent experience delivering production-grade lakehouse solutions.
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
- 5+ years of applied software engineering experience
- Hands-on experience in system design, application development, testing, and operational stability
- Hands-on experience designing, developing, and operating ETL/ELT data pipelines using Python, SQL, and distributed data-processing technologies
- Strong understanding of data warehousing concepts, including dimensional modeling, star and snowflake schemas, slowly changing dimensions, partitioning, and query optimization
- Experience with Databricks, Apache Spark or PySpark, Delta Lake, Lakeflow pipelines, Lakeflow Jobs, and lakehouse architecture
- Knowledge of data governance, lineage, access controls, schema management, data quality, and production monitoring
- Experience integrating data from relational databases, APIs, files, message streams, and cloud-based storage platforms
- Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database query languages
- Hands-on experience using enterprise-authorized AI-assisted software development tools and validating AI-generated outputs for correctness, performance, and security
- Understanding of responsible AI use in engineering workflows, data sensitivity, secure input/output handling, resiliency, and security expectations
- Strong knowledge of SDLC, Agile delivery methodologies, CI/CD practices, application resiliency, and secure software development principles
- Experience with AI-powered coding assistants such as GitHub Copilot and Claude Code
- Familiarity with prompt engineering, embeddings, and RAG pipelines
- Experience building operational copilots or chatbots for runbooks or troubleshooting
- Proficiency in Python; Go is a plus
- Experience with Databricks Unity Catalog, Structured Streaming, data governance, and performance optimization
- Familiarity with cloud data platforms and infrastructure-as-code or deployment automation for data workloads
- Databricks certification or equivalent experience delivering production-grade lakehouse solutions
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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