The Engineering team aims to enhance their event-driven microservices architecture on Google Cloud Platform to support a 25% increase in customer workload
Job Summary
The Engineering team aims to enhance their event-driven microservices architecture on Google Cloud Platform to support a 25% increase in customer workload.
You will be responsible for building and maintaining GitOps-based deployment pipelines using ArgoCD and Kargo to ensure high reliability and efficiency.
The role involves leveraging AI tools to automate repetitive tasks, validate infrastructure code, and reduce manual intervention within the first year.
Matching Summary
The Engineering team aims to enhance their event-driven microservices architecture on Google Cloud Platform to support a 25% increase in customer workload.
Skills & Requirements
Must-have
3+ years DevOps/SRE experience
Google Cloud Platform GCP expertise
Kubernetes and Helm management
ArgoCD and Kargo GitOps tools
Terraform infrastructure as code
Nice-to-have
AI-assisted workflow integration
High-growth SaaS environment background
Experience with GitHub Actions optimization
Key Requirements
3+ years in DevOps or SRE roles
Deep understanding of GCP services including GKE
Proven hands-on experience with Kubernetes and Helm