[Hiring] Software Development Engineer in Test @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.

AI isn't a productivity add-on here — it's how we build. Our team uses agentic development as standard equipment, moving from problem to production-ready code faster than traditional development allows, while keeping the work reviewable and maintainable. We're looking for a Senior SDET who already works this way. Quality here is an engineering discipline, not a phase, and there is no manual QA layer beneath our SDETs: you own the strategy, automation, and signal quality for your team, with exploratory testing as deliberate work alongside maintainable automation. Agents help turn requirements into scenarios, generate automation, and diagnose failures; you own the judgment on whether the evidence is trustworthy. As a healthcare company, PHI never enters non-production environments. Platform owns environments and pipelines, and you own what runs on them: test configuration, data, and signal quality.

What You'll Do

• Own the team's quality strategy.
• Define the verification strategy for a system based on risk, decide what evidence each layer needs, direct exploratory effort at unfamiliar failure modes, and state what is deliberately not tested and why.
• Build automation architecture the team can build on.
• Design frameworks, fixtures, and shared patterns for reliable parallel execution, accounting for concurrency, asynchronous behavior, and eventual consistency.
• Make test feedback actionable.
• Own execution speed, gating, failure classification, and flake discipline so developers can self-resolve failures rather than routing every red build through you.
• Own synthetic data and PHI guardrails.
• Define the synthetic-data strategy, isolation patterns, and CI protections that keep PHI out of non-production while giving engineers deterministic test state.
• Set testability and non-functional quality where risk warrants.
• Define environment, observability, and data needs with Platform rather than building a parallel one, and set the depth of performance, resilience, accessibility, and security verification.
• Direct AI-first quality practice, and keep judgment human.
• Author agent conventions as versioned, reviewable artifacts, set boundaries for what agents may do without review, and treat a generated test that passed once as a draft, not a test.

Qualifications

• You've designed or evolved a quality system for a team, not just automation for features.
• You translate product and architectural risk into a verification strategy and explain what you chose not to test.
• You're strong in a modern programming language with deep experience in test frameworks and shared automation architecture, and can reason about concurrency, asynchronous workflows, and failure propagation across services.
• You can trace a failing test across services using logs, traces, and deployment context, and tell whether the root cause is product, automation, data, or environment.
• You've owned synthetic-data strategy and deterministic isolation, including provisioning, reset, and non-production safeguards for sensitive data.
• You have real depth in at least one non-functional area — performance, resilience, security, or accessibility — and know when to bring in specialists.
• You communicate residual risk clearly to Engineering and Product, including when shipping with a known gap is the right call, without becoming the release bottleneck.
• You already work AI-first.
• You've set conventions other engineers actually followed and can explain where you draw the line on what an agent may change without human review.
• Bonus: experience with failure injection or recovery testing in production-like environments, or working in healthcare, another regulated domain, or systems that handle sensitive customer data.

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 $135,000 - $165,000 (USD). The actual compensation will be influenced by a wide range of factors including, but not limited to previous experience, education, pay market/geography, and scheduled hours.