Secure Software Developer Jobs in Monroe, WA (NOW HIRING)

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 JPMorgan Chase within the Network Services 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
   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.

Required qualifications, capabilities, and skills
   Formal training or certification on software engineering concepts and 3+ years applied experience 
   Strong Python development skills, including writing well-tested, maintainable code
   Experience building and maintaining APIs using Django and/or FastAPI (or similar frameworks)
   Strong system design skills across distributed services, data stores (relational and NoSQL), and messaging systems (for example, RabbitMQ)
   Practical experience running services in the cloud, including Amazon Web Services patterns and services
   Solid understanding of secure software development lifecycle practices, continuous integration/continuous delivery, and operational excellence (monitoring, alerting, incident response, resiliency)
   Demonstrated ability to lead through influence via code reviews, technical decision-making, and mentoring within a team
   Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
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
   Infrastructure as Code experience (Terraform preferred)
   Experience with content delivery network, web application firewall, and edge security providers (for example, Cloudflare or Akamai)
   Familiarity with modern front-end development using React
   Experience using AI-assisted coding and design tools in production environments with appropriate security and quality controls
   Experience building in regulated environments and delivering to strong risk and security controls