Senior DevOps Engineer

StackAI; San Francisco (CA); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Hybrid work model

Remote work available

Office near Salesforce Park

Job summary

Stack AI in San Francisco is seeking a Senior DevOps Engineer to design, build, and manage our cloud infrastructure, focusing on scalability, security, and reliability. You will partner with engineering to ensure seamless deployments across environments.

You will own Kubernetes operations, create automation with IaC, and drive CI/CD pipelines for zero-downtime releases while advancing observability and security.

Qualifications

• 5+ years in DevOps, Cloud, or Infra engineering.
• Strong Kubernetes, Terraform, Docker, and IaC
• Hands-on with AWS, Azure, or GCP
• Solid CI/CD experience (GitHub Actions, Azure DevOps, GitLab CI)
• Scripting in Python or Bash
• Monitoring/observability with Grafana, Prometheus, Datadog
• Strong problem-solving and startup-paced communication

Responsibilities

• Own cloud infrastructure: design, implement, maintain scalable, secure infra.
• Lead Kubernetes operations: deployments, scaling, monitoring.
• Build automation: IaC to standardize environments.
• Streamline CI/CD: architect and maintain zero-downtime deployments.
• Enable observability & security: monitoring, logging, alerting, security best practices.
• Collaborate across teams: work with engineers to improve architecture.
• Experiment & improve: explore tools, optimize workflows, refine DevOps practices.

Skills

Kubernetes

Terraform

Docker

IaC

Cloud platforms

CI/CD pipelines

Python

Monitoring

Tools

FluxCD

Grafana

Prometheus

Datadog

Job description

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