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Cast & Crew

Staff DevOps Engineer

Cast & Crew

. Architect and continuously improve Azure DevOps CI/CD pipelines, including pipeline-as-code standards, templating strategies, and artifact promotion workflows .

Posted 9/21/2026full-timeRemote • California • United StatesLead💰 $190,000 - $235,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates extensive expertise in Azure DevOps CI/CD pipeline architecture and management, alongside deep hands-on experience with Kubernetes, particularly EKS. Proficient in Infrastructure-as-Code practices using Terraform and capable of driving platform reliability through observability tools like New Relic.

Highest-signal resume keywords
Azure DevOps PipelinesKubernetes ExpertiseInfrastructure-as-Code (Terraform)CI/CD Systems DesignObservability Platforms (New Relic)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
CI/CD Pipeline ArchitectureKubernetes OperationsTerraformPythonBashGoYAML Pipeline AuthoringMicroservice ArchitecturesFeature Flag PatternsSLO/SLI Definition
Soft Skills
Excellent Written CommunicationMentoring
Tools & Technologies
AWS EKSNew RelicDatadogPagerDutyConfluenceHelmDockerBackstage
Industry Keywords
DevOpsPlatform EngineeringFinOpsSREMicroservices

Tech Stack

Tools & technologies
AWSAzureKubernetesNode.jsPythonTerraformGo

About the role

Key responsibilities & impact
  • Architect and continuously improve Azure DevOps CI/CD pipelines, including pipeline-as-code standards, templating strategies, and artifact promotion workflows
  • Own the health and evolution of AWS EKS clusters, including node lifecycle, autoscaling, networking, RBAC, and cluster upgrades
  • Design and enforce Infrastructure-as-Code practices using Terraform or equivalent tooling
  • Champion GitOps patterns across engineering teams
  • Drive platform reliability improvements using observability data from New Relic
  • Define and maintain golden-path templates for containerized workloads, including Dockerfile standards and Helm chart libraries
  • Partner with engineering teams to accelerate service onboarding and reduce toil through automation
  • Serve as an escalation point for complex infrastructure incidents coordinated through PagerDuty
  • Participate in on-call rotation and lead post-incident reviews for platform-layer failures
  • Identify recurring failure modes and drive systemic fixes to reduce page volume and MTTR
  • Maintain and improve runbooks and platform documentation in Confluence
  • Define and socialize DevOps standards across the engineering organization
  • Conduct architecture reviews and provide technical guidance on infrastructure-impacting decisions
  • Mentor senior and mid-level engineers through pairing, code review, and knowledge sharing
  • Identify tooling gaps and build business cases for platform investments

Requirements

What you’ll need
  • 8+ years of DevOps or platform engineering experience
  • At least 2 years operating at a Staff or Principal level in an organization of 100+ engineers
  • Deep, hands-on Kubernetes expertise, with EKS specifically preferred
  • Experience troubleshooting Kubernetes workloads, networking, storage, and cluster operations at scale
  • Strong command of Azure DevOps Pipelines, including YAML pipeline authoring, library management, service connections, and environment promotion gates
  • Proven experience designing and maintaining CI/CD systems for microservice architectures with multiple independent teams
  • Experience operating observability platforms such as New Relic, Datadog, or similar
  • Proficiency in Python, Bash, or Go
  • Proficiency with Infrastructure-as-Code tooling such as Terraform, Pulumi, or CDK
  • Familiarity with feature flag patterns and progressive delivery; Unleash or equivalent is a plus
  • Excellent written communication skills
  • Experience with data engineering or ML infrastructure workloads on Kubernetes is preferred
  • Experience with internal developer portals such as Backstage is preferred
  • Familiarity with FinOps practices and AWS cost attribution and optimization tooling is preferred
  • Experience in SRE-adjacent roles and comfort with SLO/SLI definition and error budget policy is preferred

Benefits

Comp & perks
  • Comprehensive medical coverage
  • Dental coverage
  • Vision coverage
  • 401(k) match
  • Generous PTO
  • Paid parental leave
  • Health and wellness programs
  • Tuition reimbursement
  • Employee discounts