Note: The job is a remote job and is open to candidates in USA. Lumenalta partners with forward-thinking organizations to build scalable technology solutions that accelerate business growth. The company is seeking a Senior GCP DevOps Engineer to build secure CI/CD pipelines, manage hardened GCP and Kubernetes infrastructure, operationalize Vertex AI workloads, and support complex hybrid and multi-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
Skills
- 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
Benefits
- Be 100% dedicated to one project at a time so that you can innovate and grow.
- Be a part of a team of talented and friendly senior-level developers.
- Work on projects that allow you to use leading tech.
- This is a fully remote position.
Company Overview