layiq
/la·yiq/adjective
worthy; deserving; fitting; suitable.
A role, opportunity, or path that merits attention, time, and pursuit.
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Job opportunity
Senior DevOps Engineer
StackAI
San Francisco, California, United States; New York City, New York, United States
Source: StackAI careers · View original posting
- Pay
- $220,000 — $260,000 USD per year
Employer job description
From StackAI's posting. “We” and “our” refer to 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.).