As a Lead Software Engineer at JPMorganChase within the Corporate Sector Technology, 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:
- 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.
- Architect and implement resilient, highly scalable, fault-tolerant, low-latency services and drive target-state architecture.
- Design and deploy services that integrate with enterprise systems; ensure functional, performance, scalability, security, governance, and auditability requirements are met.
- Lead and mentor the development team in a high-pressured delivery environment; manage multiple deliverables across business groups and strengthen stakeholder relationships.
- Collaborate with LOB users, SMEs, architects, DBAs, and system administrators to design solutions, manage enhancements, and resolve issues.
- Build and mature capabilities that execute ML pipelines for fraud detection and risk assessment; support modeling teams in implementation and tooling.
- Production Alize models built by data scientists, including validation readiness and quality controls prior to live usage.
- Design and own reusable ML platform components (e.g., feature-store patterns, delivery pipelines) and establish monitoring/alerting for performance, scalability, availability, and reliability.
- Build agentic AI services to automate and enhance engineering and model-ops workflows (tool-using agents, orchestration, state management, and audit-ready traceability).
- Define and implement guardrails and evaluation approaches for agentic AI in production (quality, safety, latency, and cost).
- Formal training or certification on software engineering concepts and 5+ years applied experience
- 10+ years of recent hands-on software development experience in large-scale distributed systems, primarily Java/J2EE and modern Java/Spring Boot microservices.
- 3+ years of experience developing in Linux environments.
- 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
- Strong experience with REST APIs and service-oriented / microservices architecture.
- Strong Kubernetes orchestration experience (building, deploying, and operating production services).
- Messaging expertise with Kafka, MQ, or similar platforms.
- Experience with backend infrastructure patterns (e.g., load balancing, autoscaling).
- Experience with log analytics / observability tools (e.g., ELK, Splunk).
- AI/ML platform exposure (MLOps, feature engineering, model hosting/operationalization; AWS and/or hybrid on-prem + cloud).
- Strong communication skills and proven ability to influence across senior technology and business stakeholders.
- Strong SDLC knowledge and agile ways of working, including CI/CD, application resiliency, security, testing, and operational stability.
- Agentic AI experience preferred: building and operating LLM-driven agents with tool integration, monitoring/telemetry, and governance/audit considerations.
- Experience with NoSQL databases such as Cassandra (preferred).
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
- 10+ years of recent hands-on software development experience in large-scale distributed systems
- Primary experience with Java/J2EE and modern Java/Spring Boot microservices
- 3+ years of experience developing in Linux environments
- Experience leading the effective use of approved AI-assisted software development tools
- Understanding of responsible AI use, data sensitivity, secure input/output handling, resiliency, and security expectations
- Strong experience with REST APIs and service-oriented or microservices architecture
- Strong Kubernetes orchestration experience building, deploying, and operating production services
- Messaging expertise with Kafka, MQ, or similar platforms
- Experience with load balancing, autoscaling, or similar backend infrastructure patterns
- Experience with log analytics or observability tools such as ELK or Splunk
- AI/ML platform exposure, including MLOps, feature engineering, model hosting, or operationalization
- AWS and/or hybrid on-premises and cloud experience
- Strong communication skills and ability to influence senior technology and business stakeholders
- Strong SDLC and agile knowledge, including CI/CD, resiliency, security, testing, and operational stability
- Experience building and operating LLM-driven agentic AI systems with tool integration, telemetry, governance, or auditability
- Experience with NoSQL databases such as Cassandra
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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