GCP DevOps Architect

Opstree Global; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Opstree Global in Bengaluru seeks an experienced GCP DevOps Architect to design, implement, and operate scalable, secure cloud platforms on Google Cloud Platform.

The ideal candidate should lead architecture for 5–10 million users, drive CI/CD, IaC, observability, security, and SRE practices while mentoring teams and ensuring reliability/cost efficiency across multi-region deployments.

Qualifications

• Strong GCP expertise and production experience with large-scale systems.
• Deep knowledge of GKE, Kubernetes, and multi-region architectures.
• Proficiency in Terraform/IaC and automation tooling.
• Advanced CI/CD and DevOps practices across teams.
• GCP networking and security fundamentals.

Responsibilities

• Design highly available and scalable cloud architectures on GCP.
• Architect platforms supporting 5–10 million users and high-volume traffic.
• Define cloud architecture standards and engineering best practices.

Skills

GCP

GKE

Terraform

CI/CD

Kubernetes

Linux

Observability

Security

HA/DR

SRE

Tools

GitHub/GitLab

Jenkins

Cloud Build

Argo CD

Prometheus

Grafana

OpenTelemetry

Datadog

Job description

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 and workload isolation
• Cluster autoscaling
• Horizontal/Vertical Pod Autoscaling
• Workload Identity
• Ingress and Gateway architecture

Network policies

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 deployments
• Canary releases
• 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.

Experience with configuration management and automation tools is desirable.

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
• 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 / Cloud Monitoring / Cloud Logging and tools such as 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
• 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.