Director, Cloud Engineering
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Job Description
Cloud Engineering Director building ComPsych's cloud-native developer platform for organizational mental health services. Leading DevSecOps, AI governance, reliability, compliance, and platform engineering.
Responsibilities:
- Own the Cloud Engineering function end to end and set its strategy, standards, and direction
- Build the internal developer portal and self-service platform, including service catalogs, golden paths, paved roads, and developer experience capabilities
- Own and hands-on build reusable CI/CD pipelines, templates, SDKs, and platform services
- Build and support the ComPsych DevSecOps and Cloud Engineering strategy
- Implement secure CI/CD, SAST/DAST/SCA, secrets and image scanning, Infrastructure-as-Code, and policy-as-code guardrails
- Own the cloud foundation, including landing zones, a Cloud Center of Excellence, reference architectures, SLOs, observability, resilience, and FinOps
- Enable AI/ML, GenAI, and data safely and at scale through platform environments, pipelines, and guardrails
- Govern responsible and secure AI, including acceptable-use policies, model/data governance, protection against insecure AI-generated code, and alignment with AI risk frameworks
- Own compliance and audit-readiness, including continuous compliance, control mapping, automated audit evidence, and third-party/open-source risk
- Ensure data protection, privacy, encryption, key management, least-privilege access, and data residency by design
- Lead and grow the function by evolving legacy infrastructure, establishing the team, hiring and reskilling talent, setting standards, and managing vendors, tooling, and budget
- Partner with the Lead/Architect, team, Security, GRC, engineers, and executives
Requirements:
- 10+ years in cloud, platform, or infrastructure engineering with team leadership
- Bachelor's in Computer Science or a related field
- Experience delivering developer-facing platform capabilities, including an internal developer portal, CI/CD, paved roads, and tooling
- Hands-on experience with multi-cloud environments, including AWS and Azure
- Hands-on experience with Infrastructure-as-Code and configuration management, including Terraform and Ansible
- Experience with containers and secure CI/CD
- Experience building and supporting DevSecOps practices, including shift-left security, policy-as-code, secrets, IAM, and RBAC
- Experience with SRE disciplines, including SLOs, observability, and incident response
- Experience with FinOps
- Experience enabling AI/ML and GenAI at the platform layer
- Knowledge of responsible and secure AI, model and data governance, and protection against insecure AI-generated code
- Knowledge of AI risk frameworks: NIST AI RMF, OWASP LLM Top 10, and ISO 42001
- Experience with continuous compliance, control mapping, automated audit evidence, and third-party/open-source risk
- Experience in regulated environments involving HIPAA, HITRUST, SOC 2, NIST, ISO 27001, and GDPR
- Experience with encryption and key management, least-privilege access to PHI/ePHI, privacy-by-design, and multi-region data residency
- Cloud certifications such as AWS or Azure Solutions Architect, DevOps, or SRE strongly preferred
Benefits:
- Paid Time Off (PTO)
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k) with match
- Robust Employee Assistance Program (EAP)
- Wellness program
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