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As a Lead Software Engineer at JPMorganChase within the Infrastructure Platforms Foundational Services (IPFS) organization, 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 in the Central Site Reliability Engineering (SRE) team, you will design and build the tools and automation that improve the reliability and operability of critical infrastructure, and you will work closely with our Foundational Services (FS) domain partners.
Job responsibilities
- Executes creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Develops secure, high-quality production code, and reviews and debugs code written by others
- Builds and maintains tooling and automation that reduce operational toil and improve the stability of infrastructure platforms and services
- Partners with the FS domain partners to implement observability and reliability capabilities (e.g., metrics, logging, tracing, alerting, and SLI/SLO instrumentation)
- Drives team adoption of enterprise-authorized AI-assisted engineering practices (e.g., code review/refactoring, test acceleration, incident/root-cause analysis) across the SDLC toolchain, establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns
- 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
- Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification in software engineering concepts with 7+ years of applied experience in Software Engineering, DevOps, or Site Reliability Engineering
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced proficiency in one or more programming languages (e.g., Java, Go, or Python)
- Demonstrated experience leading effective, responsible use of approved AI-assisted development tools — setting team expectations for validating outputs (correctness, performance, security), handling data sensitivity appropriately, and coaching engineers on safe, compliant adoption
- Proficiency in automation and continuous delivery methods
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, application resiliency, and security
- In-depth knowledge of the financial services industry and their IT systems
- Practical cloud-native experience
- Experience developing observability solutions or integrating with tools such as Grafana, Prometheus, Splunk, and infrastructure/network monitoring.
- Experience with on-premises data-center infrastructure, networking, storage, or data protection/replication
- Familiarity with Site Reliability Engineering principles (SLIs/SLOs, error budgets, toil reduction) and partnering with SRE teams
- Experience with infrastructure as code (Terraform) and GitOps workflows
- Experience with containerization and orchestration (Docker, Kubernetes)
- Experience building RESTful APIs and event-driven integrations (Kafka, RabbitMQ, SQS)
- Hands-on experience building AI agents and autonomous systems with AI frameworks (LangChain, LangGraph, AutoGen, CrewAI), and leveraging AI development tools (GitHub Copilot, Claude, etc.) to accelerate development
- Experience designing logging pipelines (Fluentd, Logstash, Vector) and systems for metrics collection, analysis, and distributed tracing
- Familiarity with graph databases (Neo4j, TigerGraph), vector databases (Pinecone, Weaviate, Chroma), and integrating multiple data stores for AI-powered systems
- Contributions to open-source projects or engineering communities of practice
Skills Required
- Formal training or certification in software engineering concepts with 7+ years of applied experience in Software Engineering, DevOps, or Site Reliability Engineering
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced proficiency in one or more programming languages (e.g., Java, Go, or Python)
- Demonstrated experience leading effective, responsible use of approved AI-assisted development tools and setting team validation standards
- Proficiency in automation and continuous delivery methods
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, application resiliency, and security
- In-depth knowledge of the financial services industry and their IT systems
- Practical cloud-native experience
- Experience developing observability solutions or integrating with Grafana, Prometheus, Splunk, and infrastructure/network monitoring
- Experience with on-premises data-center infrastructure, networking, storage, or data protection/replication
- Familiarity with Site Reliability Engineering principles (SLIs/SLOs, error budgets, toil reduction)
- Experience with infrastructure as code (Terraform) and GitOps workflows
- Experience with containerization and orchestration (Docker, Kubernetes)
- Experience building RESTful APIs and event-driven integrations (Kafka, RabbitMQ, SQS)
- Hands-on experience building AI agents and autonomous systems with frameworks like LangChain and using AI tools (GitHub Copilot, Claude)
- Experience designing logging pipelines (Fluentd, Logstash, Vector) and distributed tracing systems
- Familiarity with graph and vector databases (Neo4j, TigerGraph, Pinecone, Weaviate, Chroma)
- Contributions to open-source projects or engineering communities of practice
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 comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
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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