
Senior AWS DevOps Engineer Jobot
- $155,000–$165,000 Per Year
| Location | San Francisco, California (Remote) |
| Website | https://www.stack-ai.com/?utm_keyword=e_stack-ai&utm_source=google&utm_medium=cpc&utm_campaign=22125562210_Google_Search_Phrase_Brand_USA_EN_2025&utm_content=Cj0KCQjww-HABhCGARIsALLO6XxZ8XGDWVzleanC2RVKefUSH5f1-sR7gN7nVRU8mgHkKRQa1xYZfbEaAvlXEALw_wcB&utm_term=stack-ai&hsa_acc=4683022066&hsa_cam=22125562210&hsa_grp=173978761352&hsa_ad=728939900812&hsa_src=g&hsa_tgt=kwd-2222993706220&hsa_kw=stack-ai&hsa_mt=e&hsa_net=adwords&hsa_ver=3&gad_source=1&gad_campaignid=22125562210&gbraid=0AAAAAqvbNaX1_5m5XeITuYwV6U_hqy7q_&gclid=Cj0KCQjww-HABhCGARIsALLO6XxZ8XGDWVzleanC2RVKefUSH5f1-sR7gN7nVRU8mgHkKRQa1xYZfbEaAvlXEALw_wcB |
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.
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.
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.
Experience with FluxCD or similar GitOps tools.
Familiarity with security/compliance frameworks (SOC 2, HIPAA).
Previous startup experience.
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


