Mid-Senior DevOps Engineer

We are looking for a Mid–Senior DevOps Engineer to join our operations and platform team. The ideal candidate is a builder with strong experience in Terraform and cloud infrastructure (GCP), a solid understanding of CI/CD pipelines (Azure DevOps, ArgoCD), and familiarity with modern monitoring/observability tools (Grafana, Prometheus, Cloud Monitoring).

This role is highly collaborative, working with developers, security, and operations to ensure reliable deployments, secure environments, and compliance with SOC 2 requirements.

Responsibilities

• Design and maintain scalable cloud infrastructure with Terraform (modules, workspaces, state management).

• Implement and manage resources such as GKE, CloudSQL, Pub/Sub, networking, and IAM with a security-first mindset.

• Build and improve deployment workflows using Azure DevOps pipelines and ArgoCD for GitOps-based delivery.

• Work with GraphQL APIs for service integration and automation.

• Create dashboards, alerts, and metrics in Grafana and integrate with cloud monitoring systems.

• Support SOC 2 controls in day-to-day operations (logging, access controls, backup, monitoring evidence).

• Partner with developers and SREs to improve deployment speed, reliability, and cost efficiency.

• 3–5 years in DevOps, Site Reliability, or Cloud Engineering.

• Proven experience with Terraform (HCL modules, versioning, remote state, CI/CD integration).

• Hands-on with Google Cloud Platform (IAM, networking, Kubernetes/GKE, CloudSQL, Cloud Storage).

• Working knowledge of Azure DevOps pipelines (YAML builds, release workflows, secrets management).

• Practical exposure to ArgoCD (application sync, GitOps principles, rollback strategies).

• Basic to intermediate understanding of GraphQL (queries, mutations, schema awareness).

• Monitoring skills with Grafana (dashboards, alerts, data sources).

• Familiarity with SOC 2 operational practices (audit evidence, monitoring controls, access management).

Nice to Have

• Knowledge of Prometheus or other time-series DBs.

• Experience with multi-cloud (AWS, Azure in addition to GCP).

• Familiarity with container security tools (Trivy, Aqua, etc.).

• Background in incident response or SRE best practices.

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