Description

• Experience Deep understanding of Linux, networking, DNS, load balancing, firewalls, IAM, and security fundamentals.
• • Strong hands-on experience working with Google Cloud Platform (GCP) and designing/supporting production cloud infrastructure.
• • Strong knowledge of GCP services including Compute Engine, GKE, Cloud Storage, VPC, Cloud Load Balancing, Cloud DNS, Cloud NAT, and Cloud Router.
• • Strong experience with Google Kubernetes Engine (GKE), including cluster administration, upgrades, deployments, autoscaling, networking, security, and troubleshooting.
• • Experience implementing Infrastructure as Code (IaC) using Terraform, including reusable modules, remote state management, and environment-specific deployments.
• • Good understanding of GCP IAM, service accounts, Workload Identity, organization policies, Secret Manager, and least-privilege access models.
• • Experience designing and supporting GCP networking, including VPCs, subnets, firewall rules, VPC peering, Private Google Access, Cloud NAT, VPN, and hybrid connectivity.
• • Experience with GCP data and messaging services such as Pub/Sub, BigQuery, Dataflow, Cloud SQL, Spanner, and Memorystore.
• • Strong understanding of containers, Docker, Kubernetes, Helm, and container registries such as Artifact Registry.
• • Experience building and maintaining CI/CD pipelines using tools such as GitLab CI, Jenkins, GitHub Actions, Cloud Build, or similar platforms.
• • Experience implementing GitOps deployment models using tools such as Argo CD or Flux.
• • Strong experience with monitoring, logging, alerting, and observability using Google Cloud Monitoring/Logging, Prometheus, Grafana, Splunk, Dynatrace, or similar tools.
• • Experience troubleshooting production issues across applications, Kubernetes, networking, IAM, storage, databases, and cloud infrastructure.
• • Good understanding of high availability, scalability, disaster recovery, backup, resiliency, and production reliability practices.
• • Experience managing SSL/TLS certificates, secrets, credentials, and secure application connectivity.
• • Solid scripting/automation experience using at least one language such as Python, Shell/Bash, or PowerShell.
• • Good understanding of REST APIs, JSON/YAML, Git, branching strategies, and automation practices. • Experience working in production support/SRE environments, including incident management, root-cause analysis, problem management, and performance troubleshooting.
• • Ability to work closely with application developers, platform engineers, security teams, network teams, database teams, and SRE teams.

What You Know:

• 2–4 yrs of exp in devops
• Experience with Anthos, Service Mesh, Istio, or advanced Kubernetes networking.
• Experience with Vault, Consul, Keyfactor, CyberArk, or similar secrets/certificate-management platforms.
• Experience with JFrog Artifactory/Xray, SonarQube, Snyk, or similar DevSecOps tooling.
• Experience implementing SRE practices, including SLIs, SLOs, error budgets, capacity planning, and reliability engineering.
• Experience with workflow/orchestration technologies such as Cloud Composer/Airflow.
• Understanding of GCP data platforms including BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage.
• Experience working in multi-cloud environments involving GCP, AWS, and/or Azure.
• Knowledge of FinOps and GCP cost optimization, including resource rightsizing, committed-use discounts, storage optimization, and cost monitoring.
• Exposure to AI/ML platforms such as Vertex AI, Generative AI, RAG, vector databases, and LLM-based applications would be an added advantage

Key Skills

Education

Bachelor's degree