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Senior/Staff DevOps Engineer
EthosSenior/Staff DevOps Engineer leading deployment and operationalization of SaaS products for a mission-driven startup. Collaborate on expanding AI tooling and elevate DevOps practices.
Posted 7/27/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $150,000 - $210,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in deploying and operating cloud platforms, with a strong focus on SaaS products and infrastructure delivery. Proficient in leveraging AI tools and DevOps practices to enhance system design and operational efficiency.
Highest-signal resume keywords
Cloud Platform DeploymentTerraformAWS (VPC, EKS, EC2, S3, RDS)CI/CD ExpertiseIaC (Infrastructure as Code)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SaaS DeploymentDistributed Systems DesignObservability (Prometheus/Grafana, OpenTelemetry, ELK)Containerization (Docker, Kubernetes)GitOps (Argo CD, Flux)
Soft Skills
Excellent CommunicationOwnershipAutonomyPragmatic Delivery
Tools & Technologies
HelmKustomizeGitHub ActionsCircleCIArgo Workflows
Certifications & Qualifications
Secret Clearance
Industry Keywords
AI WorkloadsComplex Data PipelinesStartup Environment
Tech Stack
Tools & technologiesAWSCloudDistributed SystemsDockerEC2FluxGrafanaKubernetesPrometheusTerraform
About the role
Key responsibilities & impact- Lead the deployment and operationalization of our SaaS products across Commercial Cloud, government networks, and bespoke/air-gapped customer environments.
- Own end-to-end infrastructure delivery, elevate DevOps practices, and collaborate closely with Software and Product.
- Shape platform engineering strategy, set technical direction for distributed systems at scale, and influence design patterns that enable AI workloads and complex data pipelines.
- Treat AI tooling as core to your daily workflow — for IaC, pipelines, incident response, and toil reduction.
Requirements
What you’ll need- 5+ years building and operating cloud platforms; 3+ years deploying SaaS in production.
- Strong with Terraform, Helm/Kustomize, and containers (Docker, Kubernetes).
- Deep AWS experience (e.g., VPC, EKS, EC2, S3, RDS, ECR, IAM/KMS, Route 53; CloudFront desirable).
- CI/CD expertise (e.g., GitHub Actions, CircleCI, or Argo Workflows) and GitOps (Argo CD or Flux).
- Observability across metrics, logs, and traces (e.g., Prometheus/Grafana, OpenTelemetry, ELK).
- Proven track record in IaC, scalable system design, and quality tooling (automated tests, canaries/blue-green, feature flags).
- Excellent communication; comfortable partnering with Product, Security, and Customer teams.
- Thrives in a startup environment—ownership, autonomy, and pragmatic delivery.
- Active, fluent use of AI development/operations tools as part of your daily workflow.
- Secret Clearance or eligibility and willingness to obtain one.
Benefits
Comp & perks- Subsidized health insurance
- 401(k)
- Life insurance
- Cell phone stipend
- Remote-first culture with up to 10% travel for offsites