Senior DevOps Engineer

STACK.AI, LLC
San Francisco, CA, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Build Automation Microsoft Azure Bash Shell Cloud Computing Computer Programming Continuous Delivery Continuous Integration DevOps Github Monitoring of Systems
+13 more
Python (Programming Language) Reliability Engineering Prometheus Software Engineering Datadog Data Logging Cloud Platform System Grafana Infrastructure as Code (IaC) Gitlab-ci Kubernetes Terraform Docker

Job description

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.

Requirements

DevOps, Artificial Intelligence (AI), DevOps, Systems Administration/Management, Cloud Computing, Software Engineering, Identify Issues, Automation, Reliability Engineering, Continuous Deployment/Delivery, * 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.

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