Join JPMorgan Chase as a Lead Software Engineer within Infrastructure Platforms, Enterprise Production Automation Services (EPAS), where you will help build the automation platforms that keep the firm running securely, reliably, and at scale. This role is ideal for an experienced Java and Go engineer who enjoys leading technical design, developing resilient backend services and APIs, and delivering enterprise automation capabilities across products such as AaaS, Ansible Automation Platform, AutoM8, event-driven automation, and AI-enabled service management. You will work with technologies including Java, Spring Boot, Go, Kubernetes, Terraform, Ansible, PostgreSQL, CockroachDB, Redis, CI/CD tooling, public cloud services, and observability platforms to solve complex engineering challenges and improve operational stability across critical infrastructure services.
As a Lead Software Engineer at JPMorgan Chase within Infrastructure Platforms, Enterprise Production Automation Services (EPAS), you are an integral part of an agile engineering team that enhances, builds, and delivers trusted technology products in a secure, stable, and scalable way. EPAS delivers Day 2 operational automation, workflow orchestration, event-driven automation, AI/ML-enabled service management, and platform tooling that support Incident, Change, Problem, Crisis, and Production Management processes across the firm. This role has a primary focus on Java and Go software engineering, building resilient backend services, APIs, distributed systems, automation capabilities, and platform tooling that enable enterprise-scale automation and operational stability.
About EPAS / Infrastructure Platforms
EPAS provides process and event-driven automation, user-driven run book automation, workflow orchestration, microservice APIs, and AI/ML capabilities as part of a wider Hyper Automation offering for Infrastructure Platforms. Key product areas include Automation as a Service (AaaS), Ansible Automation Platform (AAP), AutoM8, hybrid cloud automation, public cloud and mainframe enablement, SRE and observability capabilities, and AI-driven service management accelerators.
Job Responsibilities
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems.
- Produces architecture and design artifacts for complex applications while ensuring design constraints are met by software code development.
- Lead the design and development of Java and Go-based services, APIs, automation tooling, and distributed platform capabilities across EPAS products such as AaaS, AAP, AutoM8, event-driven automation, and AI/ML-enabled service management.
- Engineer capabilities that support key EPAS initiatives, including NextGen Automation migration to AAP, AutoM8 UI and AppStore enablement, hybrid public cloud automation, mainframe automation, RHEL lifecycle upgrades, Moneta boot upgrades, and AI-driven automation use cases such as AaaS MCP, VersionUp, IntelliPatch, and AaaS Utilities.
- Drives decisions that influence the product design, application functionality, and technical operations and processes.
- 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 and eliminates recurring operational issues by improving observability, automation, self-healing, service reliability, and recovery capability across EPAS platforms.
- Partners with product, architecture, SRE, AI/ML, operational risk, and customer engineering teams to translate enterprise automation needs into secure, scalable, production-ready software solutions.
- Adds to team culture of diversity, equity, inclusion, and respect.
Required Qualifications, Capabilities, and Skills
- Formal training or certification on software engineering concepts and advanced applied experience.
- Hands-on practical experience delivering system design, application development, testing, and operational stability.
- Advanced experience in Java, Python and Go software engineering, including backend services, APIs, distributed systems, automation platforms, microservice frameworks, and operational tooling.
- Proficiency in Java, Spring Boot, Go idioms, concurrency patterns, testing, and production service design.
- Experience with automation and orchestration technologies, including Ansible, Ansible Automation Platform, event-driven automation, workflow orchestration, REST APIs, gRPC, messaging platforms, and resilient integration patterns.
- Experience across the whole software development life cycle, including coding standards, code reviews, source control, build processes, testing, and operations.
- Experience with CI/CD practices, automated quality gates, deployment automation, and release safety controls.
- Experience with Linux, containers, Kubernetes, public cloud platforms, hybrid cloud architectures, infrastructure as code, service telemetry, logging, metrics, tracing, and observability practices.
- 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 understanding of secure engineering, technology lifecycle management, vulnerability remediation, controls readiness, auditability, and operational resilience in regulated enterprise environments.
Preferred Qualifications, Capabilities, and Skills
- In-depth knowledge of the financial services industry and its technology controls, risk, and regulatory expectations.
- Experience leading technical modernisation, service decomposition, platform engineering, migration, or lifecycle initiatives such as AAP adoption, application repave, RHEL lifecycle uplift, Java/JDK modernisation, Moneta upgrades, or migration to cloud-native services.
- Caching technologies (e.g., Redis).
- Infrastructure as Code (e.g., Terraform).
- Resilient SQL and NoSQL databases and schema design (e.g., PostgreSQL, CockroachDB).
- Kubernetes and public cloud knowledge (e.g., CKAD, AWS certifications).
- Advanced knowledge of software applications and technical processes with considerable depth in one or more technical disciplines
About UsJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
Skills Required
- Formal training or certification in software engineering concepts with advanced applied experience
- Hands-on experience delivering system design, application development, testing, and operational stability
- Advanced experience in Java, Python, and Go software engineering, including backend services, APIs, distributed systems, automation platforms, microservice frameworks, and operational tooling
- Proficiency in Java, Spring Boot, Go idioms, concurrency patterns, testing, and production service design
- Experience with Ansible, Ansible Automation Platform, event-driven automation, workflow orchestration, REST APIs, gRPC, messaging platforms, and resilient integration patterns
- Software development lifecycle experience covering coding standards, code reviews, source control, build processes, testing, and operations
- Experience with CI/CD practices, automated quality gates, deployment automation, and release safety controls
- Experience with Linux, containers, Kubernetes, public cloud platforms, hybrid cloud architectures, infrastructure as code, telemetry, logging, metrics, tracing, and observability
- Experience leading effective use of approved AI-assisted software development tools and validating AI outputs for correctness, performance, and security
- Understanding of responsible AI use in engineering workflows, data sensitivity, secure input and output handling, resiliency, and security expectations
- Experience coaching engineers on safe and compliant adoption of AI-assisted development practices
- Understanding of secure engineering, technology lifecycle management, vulnerability remediation, controls readiness, auditability, and operational resilience in regulated enterprise environments
- In-depth knowledge of the financial services industry and its technology controls, risk, and regulatory expectations
- Experience leading technical modernization, service decomposition, platform engineering, migration, or lifecycle initiatives
- Experience with caching technologies such as Redis
- Experience with infrastructure as code such as Terraform
- Experience with resilient SQL and NoSQL databases and schema design, such as PostgreSQL and CockroachDB
- Kubernetes and public cloud knowledge, including CKAD or AWS certifications
- Advanced knowledge of software applications and technical processes with considerable depth in one or more technical disciplines
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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