Senior Platform Engineer (Kubernetes/GCP)
Senior Platform Engineer (Kubernetes/GCP)
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4-5years
80000 - 80000
1 Vacancy
Job Description
Requirements
Benefits
- Work Setup and Schedule: Onsite shifting schedule
- Benefits: HMO 13th-month pay and vacation leave (VL) conversion
Strong background in software development or site reliability engineering 4+ years of hands-on experience with Kubernetes in production environments Proven experience designing and implementing platform engineering solutions Expert knowledge of containerization technologies (Docker, containerd) Proficiency with infrastructure as code tools (Terraform, Pulumi) Strong scripting skills using languages like Python, Go, or Bash Experience with GCP services, particularly GKE, Cloud Build, Cloud Storage, and IAM Demonstrated experience with observability tools (Prometheus, Grafana, Cloud Monitoring) Experience implementing service mesh technologies (Istio, Linkerd) Knowledge of secrets management and security best practices in Kubernetes environments Understanding of GitOps workflows and tools (Flux, ArgoCD) Hands-on experience with CI/CD pipelines (Cloud Build, Jenkins, GitHub Actions) Solid understanding of networking concepts in Kubernetes and cloud environments Team-oriented mindset with excellent communication skills and commitment to continuous improvement Pluses: Experience with multi-cluster and hybrid-cloud Kubernetes deployments GCP Professional Cloud Architect or Kubernetes certification Experience with Kubernetes operators and custom resource definitions (CRDs) Knowledge of advanced Kubernetes concepts (admission controllers, custom schedulers) Familiarity with game publishing infrastructure requirements Experience with high-performance computing workloads on Kubernetes Hands-on experience with database operations on Kubernetes (StatefulSets, operators) Experience with Kubernetes-native CI/CD tools (Tekton) Contributions to open-source Kubernetes projects or cloud-native ecosystem Experience working with globally distributed teams across multiple time zones Background in implementing machine learning operations (MLOps) on Kubernetes Passion for online games and gaming culture is a plus. Interest in space sci-fi is a plus.
Education
Strong background in software development or site reliability engineering 4+ years of hands-on experience with Kubernetes in production environments Proven experience designing and implementing platform engineering solutions Expert knowledge of containerization technologies (Docker, containerd) Proficiency with infrastructure as code tools (Terraform, Pulumi) Strong scripting skills using languages like Python, Go, or Bash Experience with GCP services, particularly GKE, Cloud Build
Employment Type
Full Time
