Senior DevOps Engineer

We are a distributed team of 160+ product professionals, including 80+ engineers. Our team members are mainly based across Spain, Poland, Portugal, Georgia, Armenia, Serbia, Turkey, and Cyprus. Many of our developers bring 5 - 10+ years of experience, and we foster a culture of deep technical curiosity and knowledge sharing.

Despite our scale, we operate like a focused team - where every task matters and every voice is heard. We value thoughtful collaboration, strong engineering practices, and a product mindset. You’ll be joining a team where quality, mentorship, and mutual respect come first.

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.

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.

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.

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

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.