What You'll Do:

• Design, implement, and manage highly available, scalable, and secure systems on Google Cloud Platform

• Automate infrastructure provisioning using Infrastructure as Code tools such as Terraform and Deployment Manager

• Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, or Cloud Build

• Implement monitoring, logging, and alerting solutions using Google Cloud Monitoring / Logging and tools like Prometheus, Grafana, ELK (any one)

• Manage Kubernetes clusters using Google Kubernetes Engine

• Ensure system reliability through capacity planning, performance tuning, disaster recovery planning, and chaos engineering practices

• Participate in on-call rotations and incident response processes

• Drive root cause analysis (RCA) and conduct post-incident reviews

• Collaborate with development teams to improve deployment processes and application reliability

• Implement cloud security best practices across environments

What You Know:

• Must have 9+ years of experience as an SRE, DevOps Engineer, or Cloud Engineer

• Strong hands-on experience with GCP services, including:

• Google Compute Engine

• Google Kubernetes Engine

• Google Cloud Functions / Google Cloud Run

• Google Cloud Storage

• Google BigQuery

• Google Cloud Pub/Sub

• Google Cloud IAM & Networking

• Experience with containerization and orchestration (Docker, Kubernetes)

• Proficiency in Infrastructure as Code tools such as Terraform, Helm, Ansible, or similar

• Strong scripting skills in at least one language (Python, Go, Bash, or Java)

• Experience building and managing CI/CD pipelines and automation frameworks

• Solid understanding of networking concepts, Linux systems, and security best practices

• Experience with monitoring and observability tools

• Strong troubleshooting and problem-solving skills

Preferred Qualifications

• Experience working in multi-cloud environments (GCP)

• Knowledge of service mesh technologies such as Istio or Anthos

• Experience with GCP databases such as Cloud SQL, Spanner, or Firestore

• Familiarity with SLO / SLI / SLA frameworks

• Experience supporting high-traffic production environments

Mandatory Skills

• Experience managing infrastructure on Google Cloud Platform (GCP)

• Strong hands-on expertise in Compute Engine, GKE, Cloud Functions / Cloud Run

• Experience implementing CI/CD pipelines and Infrastructure as Code (Terraform)

• Kubernetes cluster management experience

• Monitoring, logging, and alerting implementation

• Incident management, RCA, and reliability engineering practices

• Strong understanding of networking, Linux, and cloud security

Education:

• Bachelor’s degree in computer science, Information Systems, Engineering, Computer Applications, or related field.