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

About StackAI

Stack AI is a no-code drag-and-drop tool to quickly design, test, and deploy AI workflows that leverage Large Language Models (LLMs) to automate any business process.

Our core value is to make it extremely easy to build arbitrarily complex AI pipelines using a visual interface that allows you to connect different data sources with different AI models.

Our customers use Stack AI to build applications such as:

Chatbots and Assistants: AI agents that interact with users, answer questions, and complete tasks, using your internal data and APIs.
Document Processing: apps to answer questions, summarize, and extract insights from any document, no matter how long.
Answer Questions on Databases: connect GPT-like models to databases (such as Notion, Airtable, or Postgres) and ask questions about them.
Content Creation: generate tags, summaries, and transfer styles or formats between documents and data sources.

Apply now

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