Software Engineer III

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 Chase Auto Finance, 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 firms 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 break down technical problemsCreates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systemsProduces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code developmentGathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systemsProactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architectureLeverages 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.Contributes to software engineering communities of practice and events that explore new and emerging technologiesAdds to team culture of diversity, opportunity, inclusion, and respectDevelop and govern agentic coding pipelines leveraging LLMs, retrieval, and automated testing.Partner with Product, QA, SRE/Production Engineering, Security, and adjacent engineering teams to align on outcomes, communicate tradeoffs, and influence technical direction, while mentoring engineers, supporting hiring/technical evaluation, and driving continuous improvement in team practices. Required qualifications, capabilities, and skills 10+ years of applied software engineering experience with formal training/certification (or equivalent), delivering solutions end-to-end across design, development, testing, deployment, and production operations.Strong Java engineering background building cloud-native, microservices-based applications using Spring Boot/Spring Cloud.Proven experience with event-driven architectures and data platforms: Kafka, SQL, RDBMS, and NoSQL databases (e.g., Cassandra).Expertise in CI/CD and automation using modern toolchains (e.g., Jenkins, Bitbucket, JIRA) and Agile delivery practices.Strong focus on operational excellence: observability/monitoring and incident readiness using Splunk, Dynatrace, and Datadog.Deep understanding of application resiliency, security, chaos engineering, and performance testing (e.g., BlazeMeter).Domain knowledge of auto financial services and the technology ecosystems supporting lending/servicing and related integrations.Ability to design and operate agent-based LLM workflows for software delivery (plan/write/test/iterate) with tool/function calling, guardrails, and human-in-the-loop controls.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. Preferred qualifications, capabilities, and skills Familiarity with modern front-end and back-end technologiesExposure to cloud technologiesExposure to AI tools .