Staff Cloud Platform Engineer

New
J
JobgetherEnergy forecasting
Based in the United States, At least three hours of daily overlap with US Central Time required.Full-TimeStaff
Salary not disclosed
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Job Details

Experience
8+ years in infrastructure engineering, platform engineering, site reliability engineering, or related fields, including several years of senior-level ownership of production systems.
Required Skills
PythonKubernetesMySQLAzureClickhouseTerraform

Requirements

  • Have 8+ years of experience in infrastructure engineering, platform engineering, site reliability engineering, or a related field, including several years of senior-level production ownership.
  • Demonstrate ability to lead multi-month infrastructure projects end to end, from technical design and stakeholder alignment through implementation, cutover, and cleanup.
  • Bring extensive hands-on experience operating Kubernetes in production; managed Kubernetes experience such as AKS, EKS, or GKE is preferred.
  • Have production experience with at least one major cloud provider; Azure is strongly preferred, and candidates with AWS or GCP experience should be willing to build substantial Azure expertise.
  • Have strong Terraform skills in large codebases and experience with GitOps-oriented workflows and tools such as Atlantis or ArgoCD.
  • Have production experience operating relational or analytical databases such as MySQL, PostgreSQL, or ClickHouse, including replication, upgrades, recovery, and reliability management.
  • Understand least-privilege access, identity-based authentication, secrets management, and network isolation.
  • Have experience with metrics, logs, distributed tracing, alerting, and service-level objectives; OpenTelemetry and related tools are preferred.
  • Be proficient in Python and shell scripting for infrastructure automation and operational tooling.
  • Have strong written communication skills for design documents, code reviews, and asynchronous updates across distributed teams and time zones.

Responsibilities

  • Operate and evolve Azure Kubernetes Service clusters supporting production services, workflows, and AI agent workloads.
  • Develop and maintain Terraform code, including provider upgrades, drift reconciliation, reusable modules, and safeguards for infrastructure changes.
  • Maintain and improve GitHub Actions runners and build pipelines, using tools such as Atlantis and GitOps workflows.
  • Operate production MySQL Flexible Server and ClickHouse data stores, strengthening replication, failover, backup, recovery, capacity planning, and upgrades.
  • Design secure, isolated, and auditable environments for AI agent workloads and Model Context Protocol services.
  • Develop monitoring and observability using OpenTelemetry, Prometheus, Grafana, and Tempo, and maintain alerting rules as code.
  • Identify and implement opportunities to reduce Azure infrastructure spending while maintaining performance, reliability, and security.
  • Participate in the on-call rotation, lead incident response, conduct blameless postmortems, and support engineering, data science, data engineering, and product teams.
  • Lead infrastructure initiatives from design documentation and stakeholder alignment through phased rollout, cutover, and cleanup.
  • Review code, write design documents, mentor engineers, and document systems and operational procedures.
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