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.