Base salary for this role ranges from $190,000 - $235,000 per year.

• 5+ years of experience as a SRE or DevOps Engineer (this is a hard requirement).

• Deep Production Expertise: You must have extensive experience managing live, high-traffic SaaS environments; developer-only backgrounds without ops experience will not be a fit.

• Cloud & Orchestration: Proven mastery of Kubernetes and AWS in production settings.

• Coding/Scripting: Advanced proficiency in Python (preferred) or Go for automation; we need more than just Bash skills.

• AI Knowledge: A strong understanding of or direct experience with AI/LLM technologies.

• Observability: Hands-on experience with Datadog for monitoring and incident response.

• Autonomy: Ability to work independently without direct daily oversight, managing production incidents and on-call responsibilities.

• Time Zone: Located in the East Coast time zone to provide coverage overlap with our global teams.

• Design, build, and operate production-grade Kubernetes infrastructure on AWS

• Developing Ai Agents to handle incidents and root cause analisys

• Build and maintain GitOps-based CI/CD pipelines using GitHub Actions and ArgoCD

• Develop internal DevOps tooling and developer self-service platforms

• Own monitoring, observability, and operational excellence using Datadog

• Collaborate with engineering teams to improve delivery speed and reliability