TL;DR
DevOps Engineer (AI): Designing and scaling infrastructure for AI workloads with an accent on CI/CD pipeline optimization, cloud architecture, and monitoring systems. Focus on implementing infrastructure as code, ensuring reliability, scalability, and security of distributed computing foundations.
Location: Onsite in Palo Alto, California
Company
Clockwork Systems was founded by Stanford researchers to redefine distributed computing foundations with software-driven AI fabrics for GPU cluster utilization.
What you will do
- Design, build, and manage scalable, secure, and reliable infrastructure in AWS/GCP.
- Own and optimize CI/CD pipelines to accelerate engineering velocity.
- Implement infrastructure as code (IaC) using Terraform, Pulumi, or similar tools.
- Collaborate with engineering teams to improve deployment workflows, observability, and performance monitoring.
- Set up and manage logging, alerting, and monitoring frameworks.
- Champion security best practices, including secrets management and vulnerability assessments.
Requirements
- 2+ years of experience in DevOps, SRE, or Infrastructure Engineering.
- Strong knowledge of cloud platforms (AWS, GCP, or Azure).
- Hands-on experience with Kubernetes, Docker, and container orchestration.
- Expertise in CI/CD tools (GitHub Actions, CircleCI, Jenkins, ArgoCD).
- Solid programming skills in at least one language such as Python, C++, or Golang.
- Familiarity with infrastructure as code (Terraform, Pulumi, or CloudFormation).
- English: B2 required.
Nice to have
- Background in distributed systems or high-performance computing.
- Experience supporting AI/ML workloads.
- Knowledge of service mesh technologies (Istio, Linkerd).
- Familiarity with FinOps and cost optimization in cloud environments.
Culture & Benefits
- Challenging projects in a friendly and inclusive workplace culture.
- Competitive compensation and a great benefits package.
- Catered lunch.
- Commitment to diversity and inclusion as an equal opportunity employer.
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