GCP DevOps Engineer – Senior

Lumenalta partners with forward-thinking organizations to build scalable technology solutions, and they are seeking a Senior GCP DevOps Engineer. The role focuses on building secure CI/CD pipelines, hardening GCP infrastructure, and operationalizing Vertex AI workloads within complex cross-cloud networking environments.

Responsibilities:

• Design and implement secure CI/CD pipelines that move code from development to production with zero security exceptions—embedding automated security gates, policy enforcement, and compliance checks at every stage of the delivery process
• Architect and manage GKE/Kubernetes environments, including namespace design, multi-tenant cluster configuration, and Workload Identity Federation (WIF) binding for secure, keyless service authentication
• Provision and manage GCP infrastructure using Terraform, including Project-per-tenant setups, resource hierarchy design, and maintaining environment parity across development, staging, and production
• Operationalize Vertex AI for long-running asynchronous batch jobs (1hr+)—covering job scheduling, resource configuration, monitoring, and failure recovery patterns
• Design and manage cross-cloud networking using Partner Cross Cloud Interconnect (GCP ↔ AWS / on-prem), Identity-Aware Proxy (IAP), and firewall topology to ensure secure, low-latency hybrid and multi-cloud connectivity
• Lead pre-production security hardening activities and deploy API gateways (Cloud Endpoints, Apigee, or equivalent) with proper authentication, rate limiting, and threat protection policies
• Establish monitoring, alerting, and cost optimization practices across GCP environments, ensuring infrastructure reliability and FinOps accountability
• Collaborate with engineering teams to define platform standards, reduce operational overhead, and support smooth handoffs from professional services to internal teams

Requirements:

• 7+ years of professional experience in DevOps or platform engineering roles, with a strong focus on GCP in production environments. A technical assessment will be required
• Proven experience designing and implementing secure CI/CD pipelines that move code from development to production with zero security exceptions—including automated security gates, policy enforcement, and compliance checks at every stage
• Senior-level hands-on experience with Google Kubernetes Engine, including namespace architecture, multi-tenant cluster design, and Workload Identity Federation (WIF) binding for secure, keyless service authentication
• Deep expertise with Terraform for GCP provisioning, including Project-per-tenant setups, resource hierarchy design, and management of environment parity across dev, staging, and production
• Experience provisioning and operationalizing Vertex AI for long-running asynchronous batch jobs (1hr+), including job scheduling, resource configuration, monitoring, and failure recovery patterns
• Hands-on experience with Partner Cross Cloud Interconnect (GCP ↔ AWS / on-prem), Identity-Aware Proxy (IAP), and firewall topology design for secure, low-latency hybrid and multi-cloud environments
• Experience leading pre-production security hardening processes and deploying API gateways (Cloud Endpoints, Apigee, or equivalent) with proper authentication, rate limiting, and threat protection policies
• Strong background in Linux administration
• Strong written and verbal communication skills in English