Experience:

10+ years in Cloud Infrastructure, DevOps, SRE, or Platform Engineering, with strong hands-on experience in Google Cloud Platform (GCP) and Google Kubernetes Engine (GKE).

Role Overview:

We are looking for an experienced GCP DevOps Architect to design, implement, and operate highly scalable, secure, resilient, and cost-efficient cloud platforms on GCP.

The ideal candidate should have strong expertise in GCP, GKE, Kubernetes, DevOps, CI/CD, Infrastructure as Code, observability, security, and high-availability architecture, with experience building platforms capable of handling 5 - 10 million users / high-volume production traffic.

The candidate will be responsible for defining cloud architecture, DevOps standards, deployment strategies, reliability engineering practices, and platform automation.

Key Responsibilities:

GCP & Cloud Architecture:

- Design highly available and scalable cloud architectures on GCP.

- Architect platforms capable of supporting 5 - 10 million users and high-volume traffic.

- Design multi-region / multi-zone architectures for high availability and disaster recovery.

- Select and optimize appropriate GCP services based on scalability, reliability, performance, and cost.

- Design networking architecture including VPC, subnets, Cloud Load Balancing, Cloud NAT, Cloud DNS, Private Service Connect, firewall policies, and hybrid connectivity.

- Define cloud architecture standards, reference architectures, and engineering best practices.

GKE & Kubernetes:

- Strong hands-on experience designing and managing GKE production clusters.

- Design scalable GKE architectures including regional and private GKE clusters, node pools, workload isolation, cluster autoscaling, HPA/VPA, Workload Identity, Ingress/Gateway architecture, network policies, and pod security.

- Optimize Kubernetes workloads for performance, availability, and cost.

- Define Kubernetes deployment, upgrade, backup, and disaster recovery strategies.

- Troubleshoot complex production issues involving Kubernetes, networking, compute, and application performance.

DevOps & CI/CD:

- Design and implement enterprise-grade CI/CD pipelines.

- Strong experience with tools such as GitHub/GitLab, Jenkins, Cloud Build, Argo CD, and/or other CI/CD platforms.

- Implement GitOps-based deployment strategies where appropriate.

- Automate build, test, security scanning, deployment, rollback, and release processes.

- Implement progressive delivery strategies such as Blue/Green, Canary, and Rolling deployments.

- Establish DevOps standards across development and operations teams.

Infrastructure as Code:

- Strong hands-on experience with Terraform.

- Build reusable Terraform modules and infrastructure frameworks.

- Automate provisioning and configuration of GCP infrastructure.

- Implement infrastructure versioning, state management, policy controls, and automated validation.

Scalability & Reliability:

- Architect systems for millions of users and high concurrent traffic.

- Design autoscaling strategies across compute, Kubernetes, databases, and networking layers.

- Implement SRE practices including SLIs/SLOs/SLAs, error budgets, capacity planning, reliability engineering, incident management, and performance engineering.

- Conduct architecture reviews, scalability assessments, and production readiness reviews.

- Design fault-tolerant systems with appropriate RTO/RPO targets.

Monitoring & Observability:

- Design comprehensive monitoring and observability solutions using Google Cloud Operations Suite, Prometheus, Grafana, OpenTelemetry, and Datadog.

- Implement infrastructure, application, Kubernetes, and business-level monitoring.

- Establish centralized logging, metrics, tracing, alerting, and dashboards.

- Analyze production performance and identify bottlenecks.

Security:

- Implement GCP security best practices across infrastructure and Kubernetes.

- Strong understanding of IAM, Service Accounts, Workload Identity, Secret Manager, KMS, VPC Service Controls, Organization Policies, Security Command Center, and container/image security.

- Implement least-privilege access and secure CI/CD pipelines.

- Integrate vulnerability scanning and security controls into the DevOps lifecycle.

Cost Optimization:

- Monitor and optimize GCP infrastructure costs.

- Optimize GKE compute, node pools, autoscaling, storage, networking, and logging costs.

- Establish cloud FinOps practices and cost governance.

- Identify opportunities for capacity optimization without compromising reliability.

Required Technical Skills:

- Must Have: Strong GCP expertise, Strong GKE / Kubernetes expertise, Strong Terraform / IaC, Advanced CI/CD and DevOps, GCP networking and security, Linux and container technologies, Production experience with highly scalable systems, Experience supporting 5 - 10 million users or equivalent high-volume traffic, High Availability and Disaster Recovery architecture, Monitoring, logging, and observability, Strong troubleshooting and incident-management skills.

- Good to Have: Google Cloud Professional Cloud Architect certification, Google Cloud Professional Cloud DevOps Engineer certification, Service mesh experience such as Istio, Argo CD / GitOps, Prometheus / Grafana / OpenTelemetry, Anthos / GKE Enterprise, FinOps experience, Experience with Kafka, Redis, PostgreSQL/MySQL, NoSQL platforms, Experience with API Gateway / Apigee, Experience with microservices architecture.

Leadership & Soft Skills:

- Strong architectural and problem-solving capabilities.

- Ability to communicate complex cloud architecture to both technical and non-technical stakeholders.

- Experience mentoring DevOps, SRE, and cloud engineering teams.

- Ability to lead architecture decisions and establish engineering standards.

- Strong ownership of production reliability and operational excellence.

- Ability to work effectively with application, security, data, and infrastructure teams.