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Fundraise UpPosted 1 month ago

Senior DevOps Engineer

$69,600–$79,200 year

RemoteSpain

Part TimeSenior LevelSmallFundraising Platform

Job Summary

Own the end-to-end architecture, reliability, and roadmap for core platform areas including observability (VictoriaMetrics, Grafana, Graylog) or CI/CD (Jenkins pipelines, Harbor, Nexus). Drive technical initiatives from requirements and design through production rollout, while automating repetitive operations and codifying maintenance. Act as the senior escalation point for complex incidents, leading post-mortems and systemic fixes during on-call rotations. Support developers by deploying applications on Kubernetes and troubleshooting builds, while mentoring less experienced engineers through design reviews and pairing. Use AI to enhance daily troubleshooting and development workflows.

Required Qualifications

  • 6+ years as a DevOps Engineer / SRE (or very close responsibilities)
  • Track record of owning technical initiatives end-to-end — from requirements and technical design through production delivery
  • Confident Linux skills (we use Ubuntu)
  • Working knowledge of the Prometheus stack: metric types, exporters, and how alerting works — enough to navigate and extend an existing setup
  • Hands-on experience with CI/CD: pipeline design, build orchestration, artifact delivery
  • Containers: Docker, image building, registries
  • Ansible
  • Git
  • Experience with Bash or Python scripting for automation and observability (writing exporters, eliminating routine work)
  • Production/on-call experience: diagnosing incidents, restoring service, leading post-mortems
  • Experience mentoring less experienced engineers
  • Ownership and attention to detail
  • Must have solid hands-on experience in two or more of the following: VictoriaMetrics / Prometheus stack at scale: architecture, cardinality control, exporters, alerting infrastructure
  • Must have solid hands-on experience in two or more of the following: Log pipelines at scale: Graylog / VictoriaLogs / ELK — collection (fluent bit or similar), retention, sharding, performance
  • Must have solid hands-on experience in two or more of the following: Jenkins scripted pipelines: shared libraries, pipeline infrastructure, build agent fleets
  • Must have solid hands-on experience in two or more of the following: Container registries and artifact management: Harbor, Nexus, base images, image policies
  • Must have solid hands-on experience in two or more of the following: Operating applications on Kubernetes: Helm, workload monitoring and log delivery, deploy troubleshooting
  • Must have solid hands-on experience in two or more of the following: Grafana: dashboards as code, alerting, performance at scale

Desired Qualifications

  • Great if you've worked with any of the following: Analytics & DS platforms: JupyterHub, Airflow, Tableau, MLflow, Airbyte — deployment, maintenance, resource limits. Building platform around these tools to improve Quality of Life for Analytics
  • Great if you've worked with any of the following: Remote development environments and AI agent execution environments. E.g. Coder/Telepresence
  • Great if you've worked with any of the following: Bare-metal Kubernetes: provisioning, networking, scaling
  • Great if you've worked with any of the following: Flux and GitOps
  • Great if you've worked with any of the following: Terraform
  • Great if you've worked with any of the following: Sentry on-premise: operating self-hosted error tracking
  • Great if you've worked with any of the following: ClickHouse, MongoDB

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