DevOps\SRE
!!!!The role follows New York (NY) time zone, so you’ll need to be available and responsive until approximately 11 PM–12 AM Ukraine time.
Technical Requirements:
Platform & Infrastructure GCP, Terraform (IaC), Kubernetes, Service Mesh (Istio / Linkerd),
Linux distributed systems at scale
GitOps & CI/CD ArgoCD, GitHub Actions, GitOps principles, Progressive delivery
Language & Observability Go (Golang), Prometheus / Grafana, Distributed tracing, SQL /
NoSQL at scale
Competencies Cloud native mindset · Automate Everything · Speaks developers'
language · Fantastic communication · SLO / error quota ownership
Nice to Have Helm, eBPF, Vault / Crossplane, OpsGenie / PagerDuty
Responsibilities:
-Eliminate toil through automation, re-architecting, and refactoring — not just patching
symptoms.
-Approach every incident with an "Automate Everything" mindset so the same problem
never fires twice.
-Pair with software engineers to troubleshoot and resolve production incidents down to
root cause.
-Drive complex infrastructure changes with full transparency, clear communication,
and zero downtime.
-Design and implement self-healing, reliable, and scalable infrastructure in a cloud-
native environment.
-Guide and unblock developers across multiple teams so they can keep shipping with
confidence.
-Define SLOs and error quotas for production services; own and manage the error
budget.
-Own the GitOps workflow via ArgoCD — every deployment is Git-defined, automated,
and reproducible.
-Write or review postmortems after incidents; track corrective actions to completion.
Participate in the follow-the-sun on-call rota and actively champion our DevOps
culture.
Languages:
Ukrainian — Native
English — Upper-Intermediate (written and spoken)
Russian — a plus (large part of team is Russian-speaking people from Latvia and Kazahstan)
What does an average day look like?
You'll proactively support production workloads, troubleshoot issues to their root cause,
and write or review postmortems once incidents are resolved. You'll continuously identify
weaknesses in infrastructure and observability and feed them into the improvement
backlog.