Senior DevOps Engineer

Fundraise UpGeorgia - Remote, GA
GEL 14,300 - GEL 15,950Remote

About The Position

We are seeking a Senior DevOps Engineer to join our distributed team. This role is responsible for the platforms our engineering teams rely on daily, including CI/CD, observability, logging, and developer tooling. The philosophy is that the team owns its systems end-to-end, and every engineer should be able to diagnose and fix issues in their area of responsibility. This is a senior-only role where you will be entrusted to own an entire area, such as observability or CI/CD, from requirements and technical design through rollout, operations, and mentoring others. You will serve as the go-to technical reference and senior escalation point for complex incidents within your area.

Requirements

  • 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. You can showcase initiatives that were yours, not just tasks you completed.
  • 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. Downtime is expensive: during busy events 10 minutes of downtime can cost us around $500k.
  • We understand it’s impossible to be an expert in everything, but it’s important to have solid hands-on experience in two or more of the areas below: VictoriaMetrics / Prometheus stack at scale: architecture, cardinality control, exporters, alerting infrastructure. Log pipelines at scale: Graylog / VictoriaLogs / ELK — collection (fluent bit or similar), retention, sharding, performance. Jenkins scripted pipelines: shared libraries, pipeline infrastructure, build agent fleets. Container registries and artifact management: Harbor, Nexus, base images, image policies. Operating applications on Kubernetes: Helm, workload monitoring and log delivery, deploy troubleshooting. Grafana: dashboards as code, alerting, performance at scale.

Nice To Haves

  • 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.
  • Remote development environments and AI agent execution environments. E.g. Coder/Telepresence.
  • Bare-metal Kubernetes: provisioning, networking, scaling.
  • Flux and GitOps.
  • Terraform.
  • Sentry on-premise: operating self-hosted error tracking.
  • ClickHouse, MongoDB.

Responsibilities

  • Own one of our core platform areas end-to-end: observability (VictoriaMetrics, Grafana, Graylog / VictoriaLogs, fluent bit, exporters, alerting) or CI/CD (Jenkins scripted pipelines, Harbor, Nexus, build agents) — you drive its architecture, reliability, and roadmap.
  • Drive technical initiatives end-to-end: gather requirements, write the design doc, decompose into tasks, implement, deliver to production, and own the operational health afterwards.
  • Drive clarity in ambiguous situations by defining requirements, assumptions, and next steps.
  • Design for reliability and scale: evolve the architecture of our platforms — topology, integration points, scaling approach, and reliability model.
  • Support developers: deploy and monitor applications on both on-premise servers and Kubernetes (Helm), troubleshoot builds and deploys, help teams with metrics, alerts, and logs; participate in chat duty in developer support channels.
  • Automate away toil: repetitive operations, provisioning, and maintenance should be codified, not performed by hand.
  • Investigate production incidents as the senior escalation point for your area: drive resolution, lead post-mortems, implement systemic fixes. Participate in on-call rotations and raise the bar for how on-call works.
  • Mentor less experienced engineers through design discussions, reviews, and pairing; catch debt-inducing shortcuts at the review stage.
  • Use AI in all aspects of day-to-day work: researching, troubleshooting, developing.

Benefits

  • 31 days off
  • 100% paid telemedicine plan
  • Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace
  • English learning courses
  • Relevant professional education
  • Gym or swimming pool
  • Co-working
  • Remote working
  • Equity options
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