Guidacent

Principal DevOps Engineer (AI Enablement)

Greater Seattle Area · Principal

Sponsorship not specifiedDetected 14 days ago

PythonBashGitAWSGCPAzureDockerKubernetesTerraformCI/CDGitHub ActionsJenkinsPrometheusGrafanaDatadogDevOpsSite Reliability EngineeringPlatform EngineeringTest AutomationMentoring

About the role

Guidacent is seeking a Principal DevOps Engineer experienced in AI daily use to improve individual and team work efforts.
Just as important, the right candidate knows how to be a careful, cost-aware user of these tools: getting real leverage from AI without token overuse.
The role extends proven DevOps practice with AIOps and AI-assisted automation, and treats DevEx as a long-term, principal-owned concern.

Responsibilities

Technical direction & architecture: Own the architecture for CI/CD, infrastructure, and the AI delivery platform
set the technical strategy and reference architectures that other teams build on.
Developer experience (DevEx): Own developer experience as a long-term, principal-level charter - continuously improve how engineers build, test, and ship, and treat DevEx as a product with its own metrics and roadmap.
CI/CD delivery: Lead the design of continuous integration and deployment pipelines with automated testing, validation, and rollback.
Scaling AI tooling & AIOps: Drive org-wide adoption of AI-assisted review, test generation, and AIOps-driven incident detection and remediation, and quantify their impact on quality, velocity, and reliability.
Reliability & cost: Set reliability practices (SLOs, DORA metrics) and optimize infrastructure and tooling cost - including efficient, token-aware use of AI tools.
Mentorship & influence: Mentor and uplevel engineers, lead technical reviews, and influence the broader engineering roadmap and ways of working.
Technical direction & architecture: Own the architecture for CI/CD, infrastructure, and the AI delivery platform; set the technical strategy and reference architectures that other teams build on.
Own the architecture for CI/CD, infrastructure, and the AI delivery platform; set the technical strategy and reference architectures that other teams build on.
Own developer experience as a long-term, principal-level charter - continuously improve how engineers build, test, and ship, and treat DevEx as a product with its own metrics and roadmap.

Requirements

8+ years in DevOps, platform engineering, or site reliability engineering, including a track record of senior technical ownership.
Deep proficiency with infrastructure-as-code (Terraform, Pulumi, or CloudFormation) and at least one major cloud (AWS, Azure, or GCP).
Experience defining observability and monitoring strategy (e.g., Prometheus, Grafana, Datadog, ELK).
A demonstrated track record of using AI to make engineering standards and practices measurably better (e.g., better reviews, tests, automation, or paved-road tooling), not just to ship faster.
Some level of AIOps experience - using AI-driven techniques for monitoring, anomaly detection, alerting, or automated remediation.

Nice to have

People or team management experience - leading, growing, or formally managing a DevOps / platform / DevEx team.
A strong plus for candidates on a player-coach or principal-with-reports path, but not required.
Experience standing up or owning a platform or developer-experience function from the ground up.
Experience evaluating, rolling out, and measuring AI developer tools (e.g., Claude, Cursor, Copilot) across a team or organization.
Familiarity with AIOps platforms and automated remediation.
Cost / FinOps discipline for cloud and AI tooling - monitoring and optimizing spend, including token usage.
Awareness of responsible / secure AI-use practices and relevant data-handling requirements.
Relevant certifications (CKA/CKAD, cloud architect or DevOps engineer, Terraform Associate).

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This listing is sourced directly from Guidacent's careers page and normalized into a canonical job model.