Senior DevOps Engineer
At a glance
Senior DevOps & Release role at StackAI. San Francisco · full-time · $220,000–$260,000 base.
devopsroles summary, based on the employer's posting.
What you'll do
- Design and maintain cloud systems, balancing growth needs with security and infrastructure costs
- Run Kubernetes workloads by handling deployments, scaling, monitoring, and troubleshooting
- Use Infrastructure as Code to standardize environment setup and improve reliability through automation
- Build and maintain CI/CD pipelines that support faster development and deployments without downtime
- Set up monitoring, logs, and alerts, and work with engineers on architecture and deployment improvements
What you bring
- At least five years in DevOps, cloud, or infrastructure engineering
- Strong practical knowledge of Kubernetes, Terraform, Docker, and Infrastructure as Code
- Experience working with AWS, Azure, or GCP
- A background building CI/CD pipelines and scripting or programming with Python, Bash, or similar
Who this fits
This is a hands-on senior engineering role for someone comfortable owning infrastructure and working closely with engineers. The role is hybrid in San Francisco, with office collaboration and remote days, or fully remote.
From the employer
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.
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.
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