Senior DevOps

We are looking for a  Senior DevOps / Platform Engineer to develop and operate GoMining's cloud platform. The primary focus of this role is  GCP and Kubernetes , infrastructure and application delivery automation, and the reliability and security of production services. You will maintain and improve our existing infrastructure, contribute to the development of the next generation of our platform, and help product teams ship changes safely and efficiently.
Responsibilities

• Develop and operate infrastructure in  GCP , including GKE, virtual machines, networking, load balancers, storage, and managed services.
• Manage Infrastructure as Code with  Terraform : develop modules, manage state and dependencies, ensure reproducible changes, and identify configuration drift.
• Operate  Kubernetes : upgrade clusters and platform components, configure autoscaling, workload placement, network policies, and resource allocation.
• Develop  CI/CD and GitOps  using GitLab CI and Flux / Argo CD, automating builds, checks, deployments, controlled releases, and rollbacks.
• Build observability across metrics, logs, distributed tracing, and actionable alerting. Define and improve  SLIs/SLOs together with engineering teams.
• Troubleshoot production incidents and performance issues, conduct root cause analysis, and eliminate recurring failure patterns.
• Implement least-privilege access, environment and service isolation, secure secrets management and rotation, and infrastructure audit controls.
• Maintain backup processes and regularly validate recovery of critical data and infrastructure according to agreed  RPO/RTO .
• Help engineering teams prepare services for production, including health checks, resource configuration, telemetry, and deployment procedures.
• Optimize cloud infrastructure usage and costs while maintaining reliability requirements.
• Maintain infrastructure documentation, operational runbooks, and recovery procedures.

Requirements

• Strong hands-on experience independently operating  production infrastructure and Kubernetes , including upgrades, troubleshooting, and disaster recovery.
• Strong experience with  GCP , including GKE, Compute Engine, VPC, IAM, and Cloud Storage; good understanding of Cloud SQL, Cloud Logging, and Cloud Monitoring.
• Hands-on experience with  Terraform , including modules, remote state, locking, importing existing resources, and safely applying infrastructure changes through CI.
• Deep knowledge of  Kubernetes and containerization : Deployments, StatefulSets, Services, Ingress, storage, requests/limits, probes, autoscaling, RBAC, and NetworkPolicy.
• Experience with  Helm and Kustomize .
• Strong Linux administration skills, preferably Debian/Ubuntu: processes, systemd, filesystems, disks, and resource troubleshooting.
• Strong networking fundamentals: TCP/IP, DNS, TLS, routing, NAT, load balancing, and firewalls.
• Ability to troubleshoot connectivity issues across applications, Kubernetes clusters, networks, and cloud services.
• Experience building CI/CD pipelines, preferably with  GitLab CI , and strong understanding of Git and GitOps principles.
• Understanding of runner permissions, secrets protection, and production deployment controls.
• Automation skills with  Bash and Python , including maintainable infrastructure scripts and API integrations.
• Experience with monitoring, logging, and alerting using tools such as  Prometheus, Grafana, or Cloud Monitoring .
• Practical experience operating  PostgreSQL  and understanding Redis and RabbitMQ, including availability, connections, replication or clustering, backup, and recovery.
• Strong understanding of cloud security principles: least privilege, service accounts, Workload Identity, secrets management, network segmentation, and access auditing.
• Ability to independently deliver infrastructure changes to a validated production result, explain technical trade-offs, and collaborate effectively with Engineering and Security teams.

Nice to Have

• Experience with  Flux CD, Argo CD, Ansible, and HashiCorp Vault .
• Experience with  OpenTelemetry  and distributed tracing.
• Experience migrating infrastructure between clouds or Kubernetes clusters, including database migrations with limited downtime.
• Experience designing disaster recovery strategies and conducting recovery exercises.
• Cloud cost optimization and capacity planning experien