DevOps Engineer - GCP

Job summary

Design, implement, and maintain CI/CD pipelines, manage infrastructure on Google Cloud Platform (GCP) using Terraform, and ensure platform security and reliability. Deploy and scale applications on Kubernetes, support API lifecycle management, and troubleshoot production issues.

Benefits

Qualifications

• 7+ years of experience in DevOps, SRE, or Platform Engineering
• Strong hands-on experience with CI/CD tools (Jenkins)
• Strong hands-on experience with Kubernetes (K8s)
• Strong hands-on experience with Helm charts
• Strong hands-on experience with GCP
• Strong hands-on experience with Terraform
• Solid understanding of IAM and security best practices
• Solid understanding of DNS, networking, and ingress
• Solid understanding of API gateways (Kong preferred)
• Proven experience supporting production systems and handling incidents
• Experience with observability tools (Grafana, Prometheus)
• Experience with canary deployments and traffic routing
• Experience with Akamai CDN, EdgeWorkers, Property Manager, or Traffic Management
• Familiarity with service mesh concepts (Istio/Envoy)
• Knowledge of logging systems (Loki, ELK, or similar)
• Experience with security scanning and compliance
• Exposure to GCP networking and load balancing

Responsibilities

• Design, implement, and maintain CI/CD pipelines using Jenkins
• Optimize build and release workflows
• Integrate Akamai CDN cache purge and configuration updates into CI/CD pipelines
• Standardize application deployments using Helm charts
• Enable automated testing, security scanning, and deployment strategies (blue/green, canary)
• Build and manage infrastructure on Google Cloud Platform (GCP)
• Use Terraform to provision and manage cloud and Kubernetes resources
• Implement and manage IAM policies following least-privilege principles
• Manage DNS, networking, and ingress configurations
• Implement and operate Akamai security solutions including WAF, DDoS protection, and bot mitigation
• Improve platform resilience using Akamai edge failover and traffic management
• Deploy, manage, and scale applications on Kubernetes
• Configure and operate Ingress controllers and API gateways (Kong)
• Support microservices architectures and service-to-service communication
• Ensure platform reliability, scalability, and security
• Implement and maintain monitoring and observability solutions using Prometheus and Grafana
• Troubleshoot complex production issues across infrastructure, networking, and application layers
• Support API lifecycle management and integrations
• Work with application teams to onboard services to the platform
• Assist teams with production readiness, deployment best practices, and troubleshooting

Skills

Relocation