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 is excited 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.
Automate 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.
Required Skills:
Level 2 needs to have a minimum of 3 years; Level 3 needs to have a minimum of 5 years of experience.
AWS 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.
Autonomy \& 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).
AI-first curiosity: Must show genuine interest in AI-assisted engineering workflows (curious and experimenting; not dismissive).
Bonus Skills:
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.