About Stack AI
Stack AI is building cutting-edge infrastructure at the intersection of AI and enterprise. Our mission is to enable companies to safely and reliably deploy AI at scale. As we grow, we’re looking for a Senior DevOps Engineer who can design, build, and manage the systems that power our platform.
This is a hands-on role where you’ll shape our infrastructure, scale our cloud environments, and partner closely with engineering to ensure our deployments are seamless, secure, and reliable.
What You’ll Do
- Own cloud infrastructure: Design, implement, and maintain our infrastructure with a strong focus on scalability, security, and cost-efficiency.
- Lead Kubernetes operations: Manage and optimize containerized applications in Kubernetes (deployment, scaling, monitoring, troubleshooting).
- Build automation: Drive Infrastructure as Code to standardize, automate, and improve reliability of environments.
- Streamline CI/CD: Architect and maintain pipelines to accelerate developer productivity and ensure zero-downtime deployments.
- Enable observability & security: Implement monitoring, logging, and alerting and drive compliance best practices.
- Collaborate across teams: Work closely with engineers to improve architecture, accelerate deployments, and contribute to strategic initiatives.
- Experiment & improve: Explore new tools, optimize workflows, and continuously refine our DevOps practices.
Why Stack AI?
- Work at the cutting edge of AI + infrastructure.
- Shape the foundation of our cloud and DevOps practices.
- Join a small, fast-moving team where your work has an immediate impact.
- Hybrid flexibility: collaborate in-person in our San Francisco office (next to Salesforce Park) while enjoying remote days or be fully remote.
What We’re Looking For
- 5+ years of experience in DevOps, Cloud, or Infrastructure engineering.
- Strong expertise with Kubernetes, Terraform, Docker, and Infrastructure as Code (IaC).
- Hands-on experience with AWS, Azure, and/or GCP.
- Solid background in CI/CD pipelines (GitHub Actions, Azure DevOps, GitLab CI, etc.).
- Comfort with scripting/programming (Python, Bash, or similar).
- Experience with monitoring & observability (Grafana, Prometheus, Datadog, etc.).
- Strong problem-solving and communication skills, with the ability to thrive in a fast-paced startup environment.
Nice to have:
- Experience with FluxCD or similar GitOps tools.
- Familiarity with security/compliance frameworks (SOC 2, HIPAA).
- Previous startup experience.
