Opstree Solutions - GCP DevOps Architect - Cloud Infrastructure

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.