Job Details

DevOps Engineer
Lehi, Utah (Hybrid, onsite 3 days each week)
Direct Hire
Pay Rate: $110K-140K

Our clients need to hire a hungry L2-L3 DevOps Engineer with strong AWS Terraform CI/CD container foundations who can thrive with high autonomy and broad scope in a lean team and isexcited about an AI-first engineering frontier (using AI to multiply impact, not just "trying prompts").
Primary Responsibilities:

• Design, deploy, and operate infrastructure components independently - owning them end-to-end from Terraform to monitoring dashboards.
• Build and maintain infrastructure as code (Terraform) with observability, failure modes, and blast radius in mind.
• Participate in the primary on-call rotation - triaging incidents, resolving pages, escalating appropriately, and improving systems after every event.
• Create and maintain runbooks so future incidents are resolved faster and with less friction.
• Implement SLIs and monitoring for the systems you own, ensuring they meet reliability expectations.
• utomate repetitive operational tasks - measuring time saved and reducing manual intervention across the team.
• Contribute to CI/CD pipelines (GitHub Actions preferred), improving deployment reliability and developer experience.
• Collaborate with Product and Engineering teams to understand their infrastructure needs and deliver pragmatic solutions.
• Provide thoughtful code review feedback within your domain and continuously improve documentation.
• Use AI tools in your daily workflow to accelerate delivery - validating output carefully and sharing useful patterns with teammates.
• Continuously deepen expertise in at least one specialty area (Kubernetes, observability, CI/CD, cloud networking, etc.) while maintaining broad platform competency.

• Level 2 needs to have a minimum of 3 years; Level 3 needs to have a minimum of 5 years of experience.
• WS is real: Candidate must have hands-on AWS experience (GCP/Azure only acceptable if exceptional overall and clearly transferable).
• Terraform foundation: Must have real Infrastructure-as-Code experience with Terraform (not "touched it once").
• CI/CD exposure: If they can't articulate what they've built/owned/operated in CI/CD, no go.
• utonomy & self-direction: If they expect to be handed tickets daily or need constant direction, not a fit.
• Scale exposure: If they've only operated as a one-person DevOps function at a tiny startup with no real scale, not a fit (for this L2-L3 hire).
• I-first curiosity: Must show genuine interest in AI-assisted engineering workflows (curious and experimenting; not dismissive).

• Modular Terraform / building reusable Terraform modules.
• Observability / SRE exposure (especially Datadog).
• Developer Experience work (self-service tooling, improving developer workflows).
• Security exposure (helpful, not required).
• Evidence of AI tooling usage in real workflows (not vague claims).
• Experience spanning multiple platform domains (SRE/infra/observability/networking/security) due to lean org structure.