Java AI Branch Ops Lead Software Engineer

JPMorgan Chase & Co.; Westerville (OH); On-site; USD 130,000 - 180,000; Full time

Job summary

JPMorganChase in the United States seeks a Lead Software Engineer to drive end-to-end Java microservices and REST APIs, leveraging AI-assisted development to improve code quality, delivery speed, and operational resilience. You will own DevOps pipelines, testing strategies, and secure-by-default patterns within a scalable, production-grade backend ecosystem.

The role requires leadership in an agile environment, collaboration with cross-functional teams, and expertise across SDLC, observability,

Qualifications

• Formal training or certification in software engineering with 5+ years of applied experience.
• Hands-on experience delivering system design, development, testing, and operational stability.
• Experience using AI-assisted development tools with guidance on validating outputs for correctness, performance, and security.
• Strong understanding of responsible AI, data sensitivity, secure handling of inputs/outputs, and adherence to resiliency and security expectations.
• 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 IT systems.
• Hands-on experience building and supporting Java services and APIs REST/OpenAPI, with observability stacks.

Responsibilities

• Executes creative software solutions, design, development, and debugging with ability to think beyond routine approaches.
• Develops secure production code, and reviews and debugs code written by others.
• Drives adoption of AI-assisted engineering practices to improve code quality, delivery speed, and operations, with validated standards.
• Applies SDLC tooling to improve automation value across the team.
• Identifies opportunities to automate remediation to improve stability of applications.
• Leads evaluation sessions with vendors and teams to assess architecture and applicability.
• Leads communities of practice to promote new technologies and knowledge sharing.
• Contributes to team culture of diversity, inclusion, and respect.
• Owns end-to-end DevOps for the team’s SDLC, including Jenkins and Spinnaker pipelines and release strategy.
• Defines and enforces testing strategy across stack (unit to resilience) with measurable quality outcomes.
• Leads design and implementation of Java-based microservices and REST APIs with scalability and security by default.

Skills

AI-assisted engineering

DevOps

Java back-end

APIs REST/OpenAPI

Observability

CI/CD

Security

Cloud/AWS

Distributed systems

Data modeling

Education

Software engineering certification

Tools

Kafka

Cassandra

Splunk

CloudWatch

Prometheus

Grafana

OpenTelemetry

Jenkins

Spinnaker

GAIA

AWS

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Consumer & Community Banking Branch Operations Technology team, 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 break down technical problems
• Develops secure 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
• 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
• Owns end-to-end DevOps execution for the team’s SDLC, including Jenkins and Spinnaker pipelines, release practices, environment promotion strategy, and automated quality gates.
• Defines and enforces comprehensive testing strategy across the stack (unit, contract, component, functional, performance, and resilience testing), including consistent test data/environment approaches and measurable coverage/quality outcomes.
• Leads design and implementation of Java-based microservices and back-end APIs (REST/event-driven), ensuring scalability, resiliency, and secure-by-default patterns across services
  

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• 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
• 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
• Strong hands-on experience building and supporting Java services and APIs REST/OpenAPI and familiarity with observability stacks (e.g., Splunk, CloudWatch, Prometheus/Grafana, OpenTelemetry), including performance tuning, debugging, and production support in distributed systems
• Practical experience with data and messaging platforms such as Cassandra (data modeling, reliability, operational patterns) and Kafka (producer/consumer patterns, delivery semantics, and monitoring)
• Proven experience delivering and operating applications in Private Cloud (GAIA) and/or AWS hosting, including secure configuration, resilience patterns, and operational readiness for production

Preferred qualifications, capabilities, and skills

• Experience building and shipping native Android applications (preferred: Kotlin/modern Android patterns) including release management, CI/CD integration, and app observability
• Experience developing and operating React front-end applications (preferred: TypeScript), including integration with back-end APIs and end-to-end quality practices
• Experience with safe rollout strategies (shadowing, A/B testing, progressive exposure), human-in-the-loop review, and continuous evaluation for quality and safety, including canary rollouts
• Knowledge of API gateways, service mesh, and multi-region high availability and disaster recovery for mission-critical services
• Familiarity with data privacy, security best practices, and regulatory compliance in financial services
• Experience with performance optimization, scalability, and reliability engineering for large-scale systems
• Ability to evaluate and integrate third-party tools, libraries, and frameworks to accelerate development