Senior Platform Software Engineer

ComPsychⓇ is the worldwide leader in organizational mental health, well-being, and absence management, dedicated to igniting human potential in workplaces across the globe. For over 40 years, we have combined the best in technology with unmatched human expertise to help individuals and their organizations thrive. Our GuidanceResourcesⓇ and AbsenceResourcesⓇ solutions deliver end-to-end mental health, well-being, work-life, health navigation, and absence support to more than 75,000 customers worldwide,  touching more than 160 million lives across 200 countries. Visit compsych.com to find out why 40% of the Fortune 500 choose ComPsych for their mental health and absence management needs.

We're modernizing the software foundations behind ComPsych's products — building shared backend capabilities, cloud-native services, and AWS infrastructure that application teams can rely on. Our goal is to make secure, reliable, high-quality software easier to build and operate at scale, without each team having to solve the same engineering problems independently.

AI isn't a productivity add-on here — it's how we build. Our engineers use agentic development as standard equipment, moving from problem to production-ready code faster than traditional development allows, while keeping the work reviewable and maintainable. Our platform carries behavioral health data for millions of members, so reliability and correctness are non-negotiable — not a tax on velocity.

AI changes what your time goes toward. You're still accountable for the full lifecycle — planning, design, code, tests, review, production — but your hands-on role in each shifts:

• Design and build shared platform capabilities. Own the architecture and delivery of reusable backend services, libraries, frameworks, and integrations that application teams depend on — with clear interfaces, failure modes, and operational contracts.
• Make AWS infrastructure usable through software. Build the application-level abstractions, automation, and integration patterns that let teams use cloud services securely and reliably without solving the same infrastructure problems repeatedly.
• Direct implementation rather than writing it line by line. Decompose platform work, write specifications and contracts, and delegate implementation to AI agents — stepping into code when complexity, debugging, or technical judgment demands it.
• Engineer for reuse, compatibility, and testability. Design for multiple consumers, backward compatibility, safe migrations, and verifiable behavior. Own the testing strategy and validate that generated tests provide meaningful evidence.
• Build reliability, security, and observability into the platform. Establish defaults for authentication, authorization, failure handling, telemetry, and deployment safety that improve every service built on the platform.
• Own production outcomes and platform adoption. Review agent and human work with the same rigor, respond to incidents, and work with consuming teams to make shared capabilities practical to adopt and operate.

• Deep server-side engineering experience in Java, Python, C#, Kotlin, or Go. You've designed and operated backend systems and built reusable components that other engineers depend on.
• Strong distributed systems fundamentals — API and event contracts, asynchronous messaging, concurrency, idempotency, consistency, failure handling, and versioning across independently deployed services.
• Hands-on AWS experience designing and operating production workloads — including compute, networking, storage, databases, messaging, IAM, and the tradeoffs among managed services. Comfortable with containers, infrastructure as code, and CI/CD.
• Experience building shared backend foundations — service frameworks, common libraries, authentication and authorization, integration layers, or similar capabilities — with deliberate attention to compatibility, configuration, documentation, and adoption.
• Reliability and security engineering experience in production — observability, SLOs, incident response, resilient architectures, and secure handling of sensitive or regulated data.
• A testing strategy appropriate for shared platform software — unit, integration, contract, and compatibility testing, with reliable CI feedback and confidence that changes won't break downstream consumers.
• Agentic AI is your primary development surface. You can specify complex platform work, direct agents to implement it, and verify correctness across integrations, edge cases, and operational behavior. You've shipped production software this way and can identify where human judgment is essential.

• 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). The base salary range represents the anticipated low end and high end of the range for this position. 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. 

EEO

ComPsych is an equal opportunity employer.  All applicants will be considered for employment regardless of race, color, age, genetics, religion, gender, sexual orientation, gender identity, national origin, disability or protected veteran status and any other characteristic protected by federal, state or local laws. ComPsych Corporation maintains a drug free workplace.

ComPsych Corporation and its affiliates is committed to the responsible and transparent handling of your personal data. Information collected during the recruitment process will be used to assess your application and, where applicable, to prepare and administer an offer of employment. Your personal data will be processed in accordance with the privacy laws applicable in your country or jurisdiction of residence, which may include the California Consumer Privacy Act (CCPA), the EU General Data Protection Regulation (GDPR), Canada's Personal Information Protection and Electronic Documents Act (PIPEDA) and applicable provincial privacy legislation, and other applicable national or local privacy laws. For full details on what personal data we collect, how we use it, your rights as an Applicant, and how to contact us with privacy-related questions, please review the relevant Applicant Data Privacy Notices: US Applicant Data Privacy Notice & Canada Data Privacy Notice.