Lead Software Engineer – Java/AWS/Agentic

JPMorganChase; Columbus (OH); On-site; USD 140,000 - 180,000; Full time

Job summary

JPMorganChase is seeking a Senior Lead Software Engineer within Employee Experience to drive secure, scalable technology across distributed systems and cloud environments. You will lead design and delivery of Java services, mentor engineers, and collaborate with product, design, and data partners to improve user experience and automate workflows.

The role emphasizes cloud-native solutions on AWS, AI-assisted development, and robust CI/CD practices, with a focus on security and operational

Qualifications

• Formal training or certification on software engineering concepts and 5 years applied experience.
• Advanced Java experience, including building Spring Boot–based services in a microservices architecture.
• Experience with Java (Core & EE, Spring Boot, Spring MVC, Spring Cloud).
• Practical experience delivering system design, application development, automated testing, and operational stability for production systems.
• Hands-on experience building cloud-native applications on AWS (compute, storage, database, container, serverless).
• Experience with CI/CD and modern build/version control practices (Git, Maven/Gradle, pipeline automation).
• Proficiency with automated testing approaches (JUnit) and a quality-first mindset.
• Experience with relational databases and SQL, including data modeling and performance considerations.
• Knowledge of messaging and integration patterns, including Kafka.
• Experience with enterprise-approved AI-assisted software development tools and secure coding practices.

Responsibilities

• Lead end-to-end design and delivery of scalable Java services and APIs, optimizing performance and resiliency.
• Architect and implement cloud-native solutions on AWS with reliable, observable patterns.
• Mentor engineers through code reviews, design guidance, and engineering standards.
• Collaborate with product, design, and data partners to define technical strategies.
• Build and optimize data pipelines using Databricks and Spark for analytics/ML workflows.
• Drive CI/CD, automated testing, and secure software development practices.
• Promote AI-assisted engineering practices with measurable validation standards.
• Apply SDLC toolchain knowledge to improve automation and outcomes.

Skills

Advanced Java

Spring Boot

Microservices

AWS

CI/CD

JUnit

SQL

Kafka

AI-assisted development tools

Secure coding

Python

Terraform

Docker

Kubernetes

CockroachDB

Go (Golang)

Tools

Git

Maven/Gradle

Databricks

Apache Spark

CloudFormation

AWS CDK

Docker

Kubernetes

Terraform

CockroachDB

Job description

Job Description

As a Senior Lead Software Engineer at JPMorganChase within Employee Experience, you are an integral part of an agile team that enhances, builds, and delivers secure, stable, and scalable technology products. You will drive meaningful business outcomes by applying deep technical expertise, strong engineering judgment, and a customer-focused mindset to solve complex problems across distributed systems, cloud, and artificial intelligence.

Job Responsibilities

• Lead end-to-end design and delivery of scalable Java services and APIs, optimizing for performance, resiliency, and maintainability in production environments
• Architect and implement cloud-native solutions on Amazon Web Services, applying well-structured patterns for reliability, observability, and cost-aware scalability
• Mentor engineers through thoughtful code reviews, design guidance, and pragmatic engineering standards that raise quality and accelerate delivery
• Collaborate with product, design, and data partners to define technical strategies that improve user experience and automate key workflows
• Build and optimize data pipelines using Databricks and Apache Spark to enable analytics and machine learning workflows at scale
• Drive engineering excellence across continuous integration and delivery, automated testing, and secure software development practices
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.

Required Qualifications, Capabilities, And Skills

• Formal training or certification on software engineering concepts and 5 years applied experience
• Advanced Java experience, including building Spring Boot–based services in a microservices architecture
• Experience with Java (Core & EE, Spring Boot, Spring MVC, Spring Cloud)
• Practical experience delivering system design, application development, automated testing, and operational stability for production systems
• Hands-on experience building cloud-native applications on Amazon Web Services (e.g., compute, storage, database, container, and serverless services)
• Experience with continuous integration and delivery and modern build/version control practices (e.g., Git, Maven/Gradle, and pipeline automation)
• Proficiency with automated testing approaches and frameworks (e.g., JUnit and mocking frameworks) and a strong quality-first mindset
• Experience with relational databases and SQL, including data modeling and performance considerations for high-throughput systems
• Knowledge of messaging and integration patterns, including event streaming technologies such as Kafka
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls.

Preferred Qualifications, Capabilities, And Skills

• Advanced Python experience for automation, data engineering, or machine learning enablement
• Experience building and deploying agentic or AI-assisted workflows, including evaluation and human-in-the-loop validation patterns
• Experience with infrastructure as code and cloud provisioning automation (e.g., Terraform, CloudFormation, or AWS CDK)
• Experience with containerization and orchestration (e.g., Docker and Kubernetes) for scalable service operations
• Experience with CockroachDB and Go (Golang) in distributed system environments

About Us

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

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.

Equal Opportunity Employer/Disability/Veterans

About The Team

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions — all while ranking first in customer satisfaction.