[Hiring] Senior Software Engineer @ComPsych Corporation

Role Description

We're modernizing how ComPsych builds technology — new customer-facing web and mobile experiences, a unified design system, and AI-powered capabilities across our products. That means raising the engineering bar for how we design, build, and operate software, with Engineering, Product, and Design working together end to end.

We're looking for a Senior Software Engineer who has hands-on experience with modern, AI-led development practices and wants to help shape how our engineering organization builds software going forward. This is a high-leverage role: you'll spend more time on system design, task decomposition, and technical direction than on writing code line-by-line. You'll use AI tools to generate code, automated tests, and first-pass reviews, then apply your own judgment to validate and refine that output before it ships.

What You'll Do

• Plan and design as your core contribution.
• Own problem framing, sequencing, and tradeoffs with Product and Design, and the system design that follows — the data model, the API contracts, the failure modes.
• Direct implementation rather than writing it line by line.
• Decompose the work, write the specs, and let AI agents build — dropping into the code yourself when debugging or complexity demands it.
• Own testing as a design decision.
• Decide what needs coverage and at what level, direct AI to build it, and validate that the tests prove what they claim — not just that they pass.
• Build security, reliability, and observability in from the start.
• Review everything with the same rigor, regardless of author, and keep production judgment human.
• Raise the bar for how the team works with AI, coaching engineers to specify, delegate, and validate rather than hand-code everything themselves.

Qualifications

• Deep server-side experience in a modern language such as Java, Python, C#, Kotlin, or Go.
• Must have 5+ years of full stack development experience.
• APIs and data models other people depend on: REST contracts, versioning, OAuth2/OIDC, schema design, and SQL that holds up under real load.
• Async and event-driven systems in production — Kafka or comparable, idempotency, and a clear view of what at-least-once costs you downstream.
• Experience building and operating production systems at real scale on AWS or Azure — containers, Kubernetes or serverless, IaC, and CI/CD pipelines you've built, operated, or materially improved.
• A testing strategy you can defend — what belongs at unit, integration, and contract level, and how you know a release is verifiable before it ships.
• Reliability and security you've been accountable for: SLOs you’ve been paged against, incidents you led, OWASP and threat modeling applied — and PHI/HIPAA or comparable regulated-data experience.
• Agentic AI is your primary development surface, and you catch what it gets subtly wrong.

Requirements

• Bonus: LLM application engineering (RAG, retrieval quality, evals, LLM observability), or modern TypeScript frontend work against a design system.

Benefits

• Full benefits package, including Paid Time Off (PTO), medical, dental, vision, 401(k) with match, robust EAP, wellness program, and much more.
• The salary range for this position is $150,000 - $200,000 (USD).