Sr. Infrastructure Engineer

About the role

We are looking for an Infrastructure Engineer to support and evolve the core systems that power identity, access, and platform reliability across cloud and enterprise environments. This role combines Infrastructure Engineering, Platform Engineering, and SRE practices with a strong focus on Okta, Active Directory, and operational excellence.

Responsibilities

• Administer and operate Okta, Active Directory, and identity systems including SSO, MFA, and lifecycle management
• Design secure authentication and authorization solutions across enterprise and cloud platforms
• Operate AWS infrastructure and support migrations from hosted/on-prem systems to AWS
• Build and maintain Infrastructure as Code (Terraform or similar)
• Enhance CI/CD pipelines and deployment workflows
• Implement reusable infrastructure patterns and automation
• Monitor system health using observability tools
• Troubleshoot incidents and perform root cause analysis
• Develop automation scripts using Python, Bash, or similar
• Collaborate with engineering, security, and product teams to deliver scalable solutions
• Document systems and promote best practices across teams

Qualifications

• 4–8+ years of experience in Infrastructure, Systems, or SRE roles
• Hands-on experience with Okta, Active Directory, or similar identity platforms
• Experience migrating infrastructure from hosted/on-prem environments to AWS
• Strong AWS knowledge and cloud infrastructure experience
• Experience with Infrastructure as Code (Terraform preferred)
• Solid Linux, networking, and security fundamentals
• Experience with CI/CD pipelines
• Scripting experience (Python, Bash, etc.)
• Familiarity with containers (Docker, Kubernetes, ECS)
• Experience supporting production systems and incident response
• Strong communication and collaboration skills

Bonus points for

• Identity federation (SAML, OIDC, Zero Trust)
• GitOps or ArgoCD experience
• Observability tools (Datadog)
• Compliance frameworks (SOC2, GDPR)
• AWS certifications
• Experience with AI/ML or AI-assisted tooling

Workplace Type

Full Time - Fully Remote: This position has been designated as fully remote, meaning that the position is expected to contribute from a non-Versant worksite, most commonly an employee’s residence.