Director, Cloud Engineering

This is a fully remote position, open to applicants in United States.

📋 Description

• Take full ownership of the Cloud Engineering function, defining its strategy, standards, and direction.

• Develop the internal developer portal and self-service platform, which includes service catalogs, golden paths, paved roads, and enhancing developer experience capabilities.

• Lead the creation of reusable CI/CD pipelines, templates, SDKs, and platform services through hands-on involvement.

• Build and support the ComPsych DevSecOps and Cloud Engineering strategy.

• Implement secure CI/CD processes, SAST/DAST/SCA, image and secrets scanning, Infrastructure-as-Code, and policy-as-code guardrails.

• Oversee the cloud foundation, comprising landing zones, a Cloud Center of Excellence, reference architectures, SLOs, observability, resilience, and FinOps.

• Facilitate the safe and scalable enablement of AI/ML, GenAI, and data through platform environments, pipelines, and guardrails.

• Govern responsible and secure AI practices, including acceptable-use policies, model/data governance, defense against insecure AI-generated code, and alignment with AI risk frameworks.

• Manage compliance and audit-readiness, incorporating continuous compliance, control mapping, automated audit evidence, and third-party/open-source risk management.

• Ensure the design of data protection, privacy measures, encryption, key management, least-privilege access, and data residency.

• Lead and expand the function by modernizing legacy infrastructure, building the team, hiring and reskilling talent, establishing standards, and overseeing vendors, tools, and budgets.

• Collaborate with the Lead/Architect, team, Security, GRC, engineers, and executives.

⛳️ Requirements

• 10+ years of experience in cloud, platform, or infrastructure engineering with leadership responsibilities.

• Bachelor's degree in Computer Science or a related discipline.

• Proven experience in delivering developer-facing platform capabilities, such as an internal developer portal, CI/CD, paved roads, and tooling.

• Practical experience with multi-cloud environments, particularly AWS and Azure.

• Hands-on expertise with Infrastructure-as-Code and configuration management tools, including Terraform and Ansible.

• Familiarity with containers and secure CI/CD practices.

• Experience in building and supporting DevSecOps practices, emphasizing shift-left security, policy-as-code, secrets management, IAM, and RBAC.

• Knowledge in SRE disciplines, such as SLOs, observability, and incident response.

• Background in FinOps.

• Experience facilitating AI/ML and GenAI at the platform layer.

• Understanding of responsible and secure AI, model and data governance, and safeguards against insecure AI-generated code.

• Familiarity with AI risk frameworks, including NIST AI RMF, OWASP LLM Top 10, and ISO 42001.

• Experience with ongoing compliance, control mapping, automated audit evidence, and third-party/open-source risk management.

• Background in regulated environments, including HIPAA, HITRUST, SOC 2, NIST, ISO 27001, and GDPR.

• Knowledge of 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 are strongly preferred.

🏝️ Benefits

• Paid Time Off (PTO)

• Medical insurance

• Dental insurance

• Vision insurance

• 401(k) with matching contributions

• Comprehensive Employee Assistance Program (EAP)

• Wellness program