Software Engineer III-Java, Kubernetes

About the role

**JOB DESCRIPTION**

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorganChase within the Commercial \& Investment Bank Payments Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market\-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

**Job responsibilities*** Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems * Creates secure and high\-quality production code and maintains algorithms that run synchronously with appropriate systems * Leverages enterprise\-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness. * 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. * Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development * Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems * Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

**Required qualifications, capabilities, and skills** * A. Formal training or certification on software engineering concepts and 3\+ years applied experience * Hands\-on practical experience in system design, application development, testing, and operational stability * Understanding of distributed systems fundamentals — networking, service discovery, DNS, load balancing, and the operational challenges of multi\-service architectures * Hands\-on experience using enterprise\-authorized AI\-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI\-generated outputs for correctness, performance, and security. * Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices. * Strong proficiency in Go, Rust, or Java — writing production\-grade, well\-tested, maintainable code for platform services operating at scale * Solid experience with Kubernetes — including deployments, namespaces, services, ingress, ConfigMaps/Secrets, and familiarity with custom controllers or operators * Hands\-on experience with infrastructure\-as\-code (Terraform, Ansible) — writing modules, managing state, and provisioning infrastructure repeatably across environments * Experience with at least several of the following data technologies in an automation context: Oracle, PostgreSQL, MongoDB, CockroachDB, Cassandra, Kafka, DynamoDB * Experience building or extending CI/CD pipelines (Jenkins, Spinnaker, GitHub Actions, or Argo CD) — including custom stages, shared libraries, and webhook integrations

**Preferred qualifications, capabilities, and skills** * Experience with environment provisioning systems, namespace\-per\-PR patterns, or composable/virtual environment approaches * Experience with service mesh technologies (Istio, Linkerd) — traffic routing, header\-based request matching, and traffic splitting * Experience with test data management — snapshot/restore automation, data masking, synthetic data generation * Familiarity with developer experience tooling — CLIs, developer portals (Backstage), API documentation, and self\-service workflows * Experience with container networking, cross\-cluster communication, or hybrid cloud/on\-premises connectivity patterns

**ABOUT US**