Tasks:
- * Architect and optimize public and private cloud infrastructure
- * Automate infrastructure using Infrastructure as Code
- * Build and operate CI/CD pipelines and release automation
- * Deploy, scale, and operate production microservices on Kubernetes
- * Develop infrastructure automation and operational tooling
- * Implement GitOps workflows
- * Implement observability and monitoring
- * Improve deployment velocity and operational efficiency
- * Improve service reliability, availability, and fault tolerance
- * Lead cross-team infrastructure initiatives and establish engineering practices
- * Manage application lifecycle, networking, and security in Kubernetes environments
- * Monitor AI service latency, resource utilization, and operational costs
- * Operate AI-powered services and model API integrations in production
- * Respond to incidents, perform root cause analysis, and drive remediation
- * Validate and safely integrate AI-generated code
Perks/Benefits:
- + 401k plan with company match
- + Employee stock purchase plan
- + Equity
- + Family leave programs
- + Flexible spending accounts
- + Flexible time away
- + Health plans
- + Matching donations
Skills/Tech stack required:
[Agentic AI] [AI coding] [AI Coding Assistants] [Ansible] [ArgoCD] [Bash] [Cause analysis] [CI/CD] [Cloud infrastructure] [Coding assistants] [Cursor] [Custom Controllers] [Distributed Systems] [Generative AI] [GitHub Actions] [GitHub Copilot] [GitOps] [Go] [Helm] [Incident Response] [Infrastructure as Code] [Infrastructure as Code (IaC)] [Jenkins] [Kubernetes] [Kubernetes custom controllers] [Kubernetes Operators] [LLMs] [Microservices] [Model Inference] [Observability] [Python] [RAG] [Root cause] [Root Cause Analysis] [Tekton] [Terraform] [Tool-Calling]
Educational requirements:
N/A
Role(s):
[DevOps Engineer] [Engineer] [Infrastructure] [Infrastructure Engineer] [Platform Engineer] [Reliability Engineer] [Site Reliability Engineer] [Staff DevOps Engineer] [Staff Platform Engineer]