senior platform engineer

GameOps is looking for a Senior Platform Engineer to provide dedicated support for one of the largest global independent studios, known for its innovative and immersive gaming experiences and commitment to delivering next-generation AAA games.

Responsibilities:

• Design, implement, and maintain cloud-native infrastructure and Kubernetes-based platforms that are massively scalable and highly reliable
• Develop and optimize CI/CD pipelines for seamless deployment of microservices to Kubernetes clusters
• Serve as a technical escalation point for platform and infrastructure issues
• Collaborate with engineering teams to implement infrastructure as code and GitOps practices
• Monitor and enhance the performance, reliability, and security of our Kubernetes ecosystem
• Champion DevOps and platform engineering best practices throughout the organization
• Mentor junior platform engineers and share knowledge across teams
• Participate in on-call rotation to ensure platform stability
• Create comprehensive documentation for platform services, components, and processes

Requirements:

• 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.

Job Type: Full-time

Application Question(s):

• Experience: What version of Kubernetes are you currently working with, and what types of workloads have you deployed in production?
• Networking & Storage:

a. Which networking solutions (CNI plugins) have you implemented in production?

b. What storage solutions (CSI drivers) have you used for persistent data?

• Configuration Management:

a. How do you manage Kubernetes resource configurations (Helm, Kustomize, etc.)?

b. What's your approach to managing secrets and configuration in Kubernetes environments?

• Deployment Practices:

a. Describe your experience with CI/CD pipelines for Kubernetes deployments.

b. How do you handle application updates in production?

• Observability:

a. What monitoring and logging solutions do you use with Kubernetes?

b. How do you approach troubleshooting issues in Kubernetes environments?

• Development & Operations Balance:

a. What percentage of your time is spent on development versus operations?

b. Which programming languages do you use most frequently in your Kubernetes work?

• Real-World Challenges:

a. What was the most challenging issue you've encountered with Kubernetes, and how did you resolve it?

b. What strategies have you used to optimize resource usage in your clusters

• GitOps & Advanced Deployment:

a. Have you implemented GitOps workflows with tools like Flux or ArgoCD?

b. What's your experience with progressive delivery techniques (canary, blue/green) in Kubernetes?

• Service Mesh & Advanced Networking:

a. Have you implemented service mesh technologies (Istio, Linkerd, etc.)? For what use cases?

b. What's your experience with multi-cluster or hybrid cloud networking?

• Specialized Workloads:

a. Have you deployed stateful applications, databases, or message brokers on Kubernetes?

b. Have you worked with specialized workloads like ML/AI, game servers, or HPC on Kubernetes?

• Multi-Architecture & Platform:

a. Have you managed multi-architecture workloads (arm64, amd64) in Kubernetes?

b. What's your experience with Cluster API (CAPI) for infrastructure management?

• Advanced Autoscaling:

a. What metrics and thresholds do you use for Horizontal Pod Autoscaler and Vertical Pod Autoscaler?

b. Have you implemented custom autoscaling solutions beyond the standard HPA/VPA?

• Kubernetes Community & Custom Development

a. Have you contributed to Kubernetes or related CNCF projects?

b. Which Kubernetes Special Interest Group (SIG) aligns most with your interests or expertise?

c. Have you authored custom Kubernetes operators? Which frameworks and languages did you use?

d. What custom controllers or CRDs have you implemented?

• Cloud Implementation:

a. Which cloud providers have you used for Kubernetes deployments (GCP, AWS, Azure)?

b. Have you worked with managed services (like GKE), self-managed clusters, or both?

Experience:

• Kubernetes: 4 years (Required)

Work Location: In person