Senior DevOps Engineer

About Brandlight

Brandlight is the leading enterprise AI visibility platform, built to help the world’s leading brands understand, manage, and optimize how they appear across AI-driven search, commerce, and advertising.

As AI rapidly becomes a trillion-dollar marketing and distribution channel, Brandlight is defining the systems that decide what brands are surfaced, trusted, and chosen.

Join our team and help build the next generation of tools shaping the future of brand management in an AI-first world.

About The Role

As a Senior DevOps Engineer at Brandlight, you’ll build and scale the cloud-native platform behind an AI-native analytics product processing millions of inference requests across multiple LLM providers. You’ll own infrastructure projects end-to-end from Kubernetes and CI/CD to observability and security, while improving developer velocity and reliability at scale.

Responsibilities

• Build and scale production Kubernetes infrastructure for AI workloads.
• Own CI/CD standards and delivery pipelines across teams.
• Improve reliability, observability, and incident response at scale.
• Implement secure, scalable IaC foundations (Terraform/Crossplane).
• Build internal tooling and self-service workflows to improve DevEx.
• Drive cloud architecture decisions across availability, performance, and cost.
  
  

• 6+ years in Platform Engineering, DevOps, or SRE roles.
• Strong cloud experience (GCP preferred) with Kubernetes at scale.
• Production Kubernetes expertise: HPA, Helm, ArgoCD, Keda, secrets management.
• Strong IaC foundations with Terraform and/or Crossplane.
• CI/CD ownership experience (GitHub Actions, GitLab CI, or similar).
• Strong scripting/programming skills (Python, Go, or Bash), automation-first mindset.
• Experience improving developer experience via internal platforms or tooling.
• Clear communicator who documents decisions, owns outcomes, and drives execution.
  
  

• GPU / ML infrastructure experience, scaling compute for AI workloads.
• OpenTelemetry + observability at scale (Datadog preferred), distributed tracing, metrics, and monitoring.
• FinOps mindset - cost visibility, rightsizing, and commitment management.