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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer II, Platform Core Services - **Company:** Spring Health - **Location:** Seattle, WA, United States - **Experience:** Experienced - **Contract:** Temporary contract - **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Code Coverage, Code Generation, Software Quality, Code Review, Software Debugging, Python (Programming Language), PostgreSQL, Ruby on Rails, Microsoft Copilot, Software Engineering, TypeScript, Management of Software Versions, Datadog, Data Logging, ReactJS, Rspec, Reliability of Systems, AI Coding Agents, Graphql, Claude - **Published:** October 27, 2026 - **Apply:** https://www.dice.com/job-detail/5164df9e-9111-475d-86c0-f8fd8e134f0c ## About the Role * 3-5 years of professional software development experience * Proficiency with Ruby on Rails or Python, Postgres, GraphQL, React, and TypeScript, Datadog, RSpec Framework, * Experience building full stack applications * Actively uses AI coding tools (e.g., Claude, Copilot) to assist with features, debugging, and test creation-iterates on prompts to improve output quality and critically reviews all AI-generated code for correctness, security, and standards compliance * Ability to work independently and collaboratively in a fast-paced, ambiguous environment * Experience working in cross-functional Agile teams * Strong problem-solving skills with a focus on clean, maintainable code and attention to detail * Embraces writing well-designed tests that accompany all code ## Description Reporting to Senior Engineering Manager, Platform Core Services, you will help build and maintain the shared platform services that our client engineering teams use to deliver solutions for their customers and end users. The Platform Core Services team owns foundational capabilities such as Auth, User Sync, Composer, and other shared services. This is high-leverage work: when we get an abstraction right and manage it in one place, we lower the cost of software delivery, make systems more stable, and keep security consistent for every team that depends on it., * Write, review, and deliver production-ready code with a focus on correctness, clarity, and maintainability. * Participate actively in code reviews-giving constructive feedback and leveraging review comments as a learning opportunity. * Use AI tools (e.g., Claude, Copilot) to explore implementation approaches, accelerate development, generate documentation, and augment code reviews-providing sufficient context to get high-quality, system-aware outputs, and always critically reviewing AI-generated code before shipping. * Contribute to architectural discussions and tech debt prioritization within your team. * Proactively clarify requirements to remove ambiguity; identify and mitigate risks before they become blockers. * Deliver features independently on well-scoped work; support larger multi-person projects with consistent execution. * Collaborate with product managers and designers to break down complex requirements into manageable, shippable units. * Advocate for high engineering standards including test coverage, documentation, and observability. * Participate in an on-call rotation to support system reliability and respond to production issues. * Identify and resolve root causes across code domains; add logging, alerting, and monitoring as a standard part of your work. * Build and evolve shared services (Auth, User Sync, Composer) and the infrastructure and APIs beneath them, so client teams integrate instead of rebuilding. * Own shared systems that fall between teams: learn, document, and stabilize them, and roll out changes safely through versioning, backward compatibility, and deprecation paths. * Partner with client teams to turn repeated patterns into shared components with clear contracts, and measure adoption to guide what we evolve next. What success looks like in this role * Delivery & Quality - Deliver projects on time, within scope, and with high stakeholder satisfaction. Maintain high system uptime and low defect rates through strong testing and observability practices. * Independent Execution - Complete well-scoped tasks independently, resolve issues proactively, and accurately track your own work. Estimates are improving in accuracy sprint over sprint. * AI-Augmented Engineering - Regularly use AI to assist with features, debugging, documentation, and test creation-iterating on prompts to improve output quality, and always validating results against team standards. * Collaboration - Partner effectively with product, design, data, and engineering teammates, contributing meaningfully to team goals and alignment. * Engineering Excellence - Contribute to improved team velocity through planning, estimation, and delivery best practices. Continuously seek out new techniques-including AI capabilities-to improve engineering outcomes. * Code Quality - Write code that is tested, secure, and easy for others to understand and maintain.