Guidacent

Guidacent

Business Analyst — Fit/Gap & Process Analysis

Seattle, WA

Sponsorship not specifiedDetected 1 day ago
PythonBashGitAWSGCPAzureDockerKubernetesTerraformCI/CDGitHub ActionsJenkinsPrometheusGrafanaDatadogDevOpsSite Reliability EngineeringPlatform EngineeringTest AutomationMentoring

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16Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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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.

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.