Senior Full Stack Software Engineer

• 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
• Build security, reliability, and observability in from the start as design inputs, not production afterthoughts
• Review all work with the same rigor regardless of author, and remain accountable for what ships, deployment calls, on-call response, and incident learnings
• Raise the bar for how the team works with AI by coaching engineers to specify, delegate, and validate rather than hand-code everything themselves

• Must have 5+ years of full stack development experience
• Deep server-side experience in a modern language such as Java, Python, C#, Kotlin, or Go, with a track record of owning services end to end
• Experience designing APIs and data models other people depend on: REST contracts, versioning, OAuth2/OIDC, schema design, and SQL that holds up under real load
• Experience with async and event-driven systems in production (Kafka or comparable), including idempotency and at-least-once tradeoffs
• Experience building and operating production systems at scale on AWS or Azure, including containers, Kubernetes or serverless, IaC, and CI/CD pipelines, with on-call ownership
• A defensible testing strategy across unit, integration, and contract levels
• Experience being accountable for reliability and security, including SLOs, incident leadership, OWASP and threat modeling, and PHI/HIPAA or comparable regulated-data experience
• Hands-on experience with agentic AI as a primary development surface, with the ability to identify what it gets subtly wrong in production systems

Preferred Experience

• LLM application engineering, including RAG, retrieval quality, evals, or LLM observability
• Modern TypeScript frontend work against a design system

• Central role in an active modernization effort spanning web, mobile, design systems, and AI-powered capabilities
• Collaborative environment with close partnership across Engineering, Product, and Design
• Opportunity to shape how a growing engineering organization adopts AI-native development practices
• Stable, established organization investing in its technology platform

Compensation, Benefits And Perks

• Base salary range: $150,000 - $200,000
• Full benefits package including medical, dental, and vision
• 401(k) with match
• Paid Time Off (PTO)
• Employee Assistance Program (EAP)
• Wellness program

We are partnering with an established organization in the health and well-being technology space that provides large-scale, technology-driven support solutions to organizations and individuals globally. The company combines deep subject-matter expertise with modern technology to deliver its services at scale, and serves a broad, longstanding customer base.

This role is part of a broader modernization effort: new customer-facing web and mobile experiences, a unified design system, and AI-powered capabilities across the product suite. Engineering, Product, and Design work together end to end, and this position will help shape how the engineering organization builds software going forward.

This is a high-leverage role for an engineer with hands-on experience in modern, AI-led development practices. The successful candidate will spend more time on system design, task decomposition, and technical direction than on writing code line by line - directing AI tools to generate code, automated tests, and first-pass reviews, then applying their own judgment to validate and refine that output before it ships.