Develop and operate GoMining’s GCP-based cloud platform, including GKE, Kubernetes, Terraform, CI/CD, GitOps, observability, security, backups, and disaster recovery. Troubleshoot production incidents, improve reliability and performance, optimize costs, and support engineering teams with safe production delivery. Maintain infrastructure documentation and operational runbooks while collaborating with Engineering and Security teams.
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/SLOstogether 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, HTTP(S), 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 experience.
- Experience with DigitalOcean, Hetzner, or AWS.
- Ability to read and troubleshoot JavaScript / TypeScript applications.
- Experience operating financial or payment services with strict requirements around access control, auditing, reliability, and data integrity.
Benefits
- Professional growth: support for courses, conferences, and English learning (up to 100% coverage).
- Work-life fit: remote or hybrid format with flexible hours across international teams.
- Paid leave: up to 20 vacation days + 8 company holidays + 5 personal days per year
- Recognition programs: structured performance reviews and team awards.
- Team culture: retreats in international locations (for example, company apartments in Cyprus).
Similar Jobs
Cloud • Security • Software • Cybersecurity • Automation
Leads GitLab’s distributed EMEA Deal Desk team and owns regional quoting, pricing, order management, and sales-booking operations. The role manages hiring and enablement, handles complex transactions and escalations, advises Sales leadership on pricing and commercial strategy, and ensures alignment with global policies. It also develops executive insights on deal quality, discounts, cycle times, exceptions, and pricing effectiveness while coordinating downstream billing, fulfillment, revenue recognition, and customer execution.
Top Skills:
AICpqCRMSaaS
Cloud • Security • Software • Cybersecurity • Automation
Build and maintain software, automation, tooling, and infrastructure that support GitLab demos, workshops, trials, and internal test environments. Improve the Demo Architect Portal, enable self-service, create technical workshop assets, troubleshoot environments, and collaborate with sales, solutions architecture, customer success, marketing, UX, and engineering teams. The role combines software engineering, infrastructure operations, technical enablement, and customer-facing collaboration in a remote, asynchronous environment.
Top Skills:
DevsecopsGitlabGitlab.ComInfrastructure AutomationMonitoring And Observability
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Analyze large-scale security telemetry, threat intelligence, endpoint, and detection data to identify trends, anomalies, and emerging threats. Build dashboards, reports, data pipelines, and KPI frameworks using SQL, Python, LogScale, or similar tools. Collaborate with data engineering, product, and engineering teams to ensure data quality and translate complex findings into actionable insights for technical and non-technical stakeholders.
Top Skills:
Graph DatabasesLogscaleLookerMitre Att&CkPower BIPythonRSIEMSQLTableau
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
