Software Engineer III - Data - Service Mesh - Developer

JPMorgan Chase & Co. • Jersey City, NJ

3d • $137,750 - $185,000

About The Position

As a Software Engineer III at JPMorganChase within Wealth Management, you will serve as a seasoned member of an agile team, designing and delivering secure, stable, scalable technology products. You will carry out critical technology solutions across multiple technical areas and business functions in support of the firm’s business objectives.

The role focuses on backend services, data, and service mesh technologies. You will design, develop, test, and troubleshoot software; produce architecture and design artifacts; work with large and diverse data sets to improve applications and systems; and use enterprise-authorized AI-assisted development tools responsibly. You will also contribute reusable patterns and guidance that help improve team effectiveness.

Requirements

• Formal training or certification in software engineering concepts and at least 3 years of applied experience.
• Hands-on practical experience in system design, application development, testing, and operational stability.
• Experience developing, debugging, and maintaining code in a large corporate environment using one or more modern programming languages and database querying languages.
• Hands-on experience with enterprise-authorized AI-assisted software development tools, with the ability to critically evaluate, validate, and refine outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations.
• Overall knowledge of the Software Development Life Cycle.
• Solid understanding of agile methodologies and practices such as CI/CD, application resiliency, and security.
• Strong experience building backend services in Java and Spring Boot, including Spring Security and Spring Data.
• Hands-on experience designing and building GraphQL APIs using Spring for GraphQL or graphql-java.
• Experience with Apache Kafka, including Avro and Schema Registry; Elasticsearch; and SQL with platforms such as Snowflake or Trino.
• Strong understanding of distributed systems and service mesh patterns, including API gateways, routing, retries and fallbacks, multi-region resilience, and disaster recovery.
• Experience with AWS services including ECS, EKS, IAM, and Route 53; Docker; infrastructure as code; and CI/CD pipelines such as Jenkins, Harness, or Spinnaker.
• Experience with observability and security tools and practices, including OpenTelemetry, Prometheus, Splunk, OAuth2/OIDC, JWT, secrets management, and vulnerability remediation using approaches or tools such as OWASP and Snyk.
• Disciplined testing experience with JUnit and Mockito.
• Working knowledge of Python and FastAPI for supporting services and tooling.

Nice To Haves

• Experience with Hasura.
• Familiarity with modern front-end technologies.
• Exposure to cloud technologies.

Responsibilities

• Execute software design, development, and technical troubleshooting, including working through problems beyond routine approaches.
• Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems.
• Use enterprise-authorized AI coding-assistance tools to improve code quality, delivery speed, and productivity; validate their output through peer review, automated testing, and secure coding standards.
• Apply Software Development Life Cycle tools, including authorized AI-assisted development and automation capabilities, to improve the value of automation.
• Produce architecture and design artifacts for complex applications and ensure software development meets design constraints.
• Gather, analyze, synthesize, and visualize large, diverse data sets to support continuous improvement of software applications and systems.
• Identify hidden problems and patterns in data and use those insights to improve coding hygiene and system architecture.
• Contribute learnings and reusable AI-assisted development patterns to improve broader team effectiveness.
• Guide peers on safe and effective AI use in engineering workflows.

Benefits

• Competitive total rewards package, including base salary and, for eligible roles, commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.
• Additional benefits and programs based on eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed