Senior DevOps Engineer

About the Role

You will join the DevOps team responsible for the platforms our engineering teams rely on daily: CI/CD, observability, logging, and developer tooling. Our philosophy is simple: 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. We are looking for an engineer we can hand an entire area — observability or CI/CD — and trust to run it: from requirements and technical design through rollout, operations, and mentoring others. You will be the go-to technical reference for your area and the senior escalation point for complex incidents in it.

What You’ll Do

• 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.

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.

Must Have

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.

Bonus points

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.

Why work with us

• A strong, collaborative product team that owns what it builds

• Clear product vision and access to real customer feedback from global nonprofit leaders

• Flat structure: no politics, just great work with great people

• Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next

• Long-term focus: we offer equity options and value sustained, meaningful contribution

Compensation

• The compensation range for this role is: €6,000 - €6,800 gross per month.

• Final compensation will be determined based on relevant experience, skills, qualifications, and alignment with the role's requirements.

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