Cloud DevOps Engineer

• Virtana is the leader in observability for hybrid infrastructure. The AI-powered Virtana Platform delivers a unified view across applications, services, and underlying infrastructure, correlating user impact, service dependencies, performance bottlenecks, and cost drivers in real time. Trusted by Global 2000 enterprises, Virtana empowers IT, operations, and platform teams improve efficiency, reduce risk, and make faster, AI-driven decisions across complex, dynamic environments. Learn more at virtana.com
• Virtana is proud to be an Equal Opportunity Employer. We value diversity and are committed to creating an inclusive environment for all employees

Recent milestones include:

• The acquisition of Zenoss to create a unified observability platform combining deep infrastructure analytics, AI-driven event intelligence, and service-level visibility
• Launching AI Factory Observability (AIFO) to meet the demanding visibility, performance, cost, and risk challenges of AI infrastructure, including tight integration with GPU workloads and modern hybrid environments

Virtana is trusted by Global 2000 enterprises to optimize performance, reduce risk, and control costs-helping them drive business outcomes with complete observability across every layer of infrastructure

MISSION & WHAT WE BELIEVE: Virtana’s mission is to empower IT, operations, and platform engineering teams to see everything, understand everything, and act with confidence, especially in complex, hybrid, and AI-intensive environments. The company believes:

• Observability isn’t optional in modern infrastructure; it’s foundational
• Deep, correlated visibility (across computing, storage, network, service/app dependencies, AI workloads) drives better performance, cost efficiency, and risk mitigation
• AI/ML, topology mapping, event intelligence, root cause analysis, and cost forecasting are essential differentiators
• Customers want not just metrics, but insight, predictability, and control, * Virtana is seeking a Cloud DevOps Engineer to help build, automate, and operate the Google Cloud Platform (GCP) infrastructure that runs the Virtana Platform. You will join our Cloud DevOps team and own infrastructure as code with Terraform, CI/CD pipelines, Kubernetes (GKE) operations, and observability for our SaaS environments. You will work closely with product engineering, QA, and security to deliver reliable, secure, and cost-efficient releases, and to keep improving how we build and ship software, * Design, build, and maintain GCP infrastructure (GKE, Compute Engine, Cloud SQL, Cloud Storage, VPC, IAM, Cloud Load Balancing) using Terraform as the standard for infrastructure as code
• Develop and maintain reusable Terraform modules, manage remote state, and enforce code review, testing, and drift detection for all infrastructure changes
• Build and improve CI/CD pipelines for build, test, and release automation across product engineering teams
• Implement monitoring, logging, and alerting (Cloud Monitoring/Logging, Prometheus, Grafana) to ensure the availability and performance of production environments
• Participate in the on-call rotation, lead incident response and root cause analysis, and drive remediation to prevent recurrence
• Apply security best practices across the cloud environment, including least-privilege IAM, secrets management, network policies, and vulnerability remediation, in support of SOC 2 compliance
• Track and optimize cloud spend through rightsizing, committed-use planning, and resource hygiene
• Automate repetitive operational tasks with scripting (Python, Bash, or Go) and configuration management tools
• Partner with development and QA teams to define release pipelines, environments, and test frameworks
• Document architecture, runbooks, and standard operating procedures

• At least 5+ years of experience in DevOps, Site Reliability, or Cloud Infrastructure Engineering
• Terraform: Strong, hands-on experience writing and maintaining production Terraform, including modules, remote state, workspaces, and CI-driven plan/apply workflows
• Google Cloud Platform: Hands-on experience designing and operating production workloads on GCP, including GKE, IAM, VPC networking, Cloud SQL, and Cloud Storage
• Solid experience with containers (Docker) and orchestration (Kubernetes), including Helm
• Experience building CI/CD pipelines (GitHub Actions, Jenkins, or similar)
• Deep knowledge of Git and branching/release workflows
• Proficiency in at least one scripting language (Python, Bash, or Go)
• Understanding of networking fundamentals (DNS, load balancing, TCP/IP, firewalls, VPN), * Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience, * Google Cloud Professional Cloud DevOps Engineer or Professional Cloud Architect certification
• Experience with AWS or Azure in a multi-cloud or hybrid environment
• Experience with configuration management (Ansible, Puppet, or similar)
• Experience with policy as code and security scanning (OPA, Checkov, tfsec, Trivy)
• Familiarity with SOC 2 or similar compliance frameworks
• Experience supporting SaaS observability or monitoring products

• Opportunity to shape the cloud platform that powers our SaaS products
• Work in an innovative, collaborative, and flexible environment
• Competitive compensation and equity opportunities