About The Position

As a Software Engineer III at JPMorganChase within Wealth Management, you serve as a seasoned member of an agile team, designing and delivering trusted technology products in a secure, stable, and scalable way. You 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, GraphQL APIs, event streaming and data stores, distributed systems, service mesh patterns, cloud infrastructure, CI/CD, observability, security, and disciplined testing. You will also use enterprise-authorized AI coding assistance and automation tools in engineering workflows, validate generated outputs, and contribute reusable practices that improve team effectiveness.

Requirements

  • Formal training or certification in software engineering concepts and at least 3 years of applied experience.
  • 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, and ability to evaluate, validate, and refine generated 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; ability to guide peers on safe and effective usage.
  • Overall knowledge of the Software Development Life Cycle.
  • Solid understanding of agile methodologies, including 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 grasp of distributed systems and service mesh patterns, including API gateways, routing, retries and fallbacks, multi-region resilience, and disaster recovery.
  • Experience with AWS (ECS, EKS, IAM, 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 fixing vulnerabilities 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 solution design, development, and technical troubleshooting, including work beyond routine approaches to solve technical problems.
  • Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems.
  • Use enterprise-authorized AI coding assistance to improve code quality, delivery speed, and productivity; validate outputs through peer review, automated testing, and secure coding standards, and share reusable practices with the team.
  • Apply Software Development Life Cycle toolchain knowledge, including authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
  • Produce architecture and design artifacts for complex applications and ensure software development meets design constraints.
  • Gather, analyze, synthesize, and visualize or report on large, diverse data sets to support continuous improvement of software applications and systems.
  • Identify hidden problems and patterns in data and use insights to improve coding hygiene and system architecture.
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