Oxylabs - Senior Site Reliability Engineer
Requirements
• Have built and operated highly available infrastructure at comparable scale — hundreds of servers, dozens of services, real production load. • Hands-on K8s in self-hosted / bare-metal environments. • Confident with Infrastructure as Code. • Have owned CI/CD pipelines end-to-end (GitLab CI or equivalent). • Have been on call in a production environment. • Proactive— surfaces problems before being asked, keeps the team informed without prompting. • Led at least one major infrastructure migration - planned, executed, and stabilised it. • Python and/or Go familiarity - backend is Python, edge services are Go. • Exposure to proxy, networking-heavy infrastructure. • Previous experience in a small team where developers shared infrastructure responsibility. • Familiarity with edge clusters or split compute/edge architectures.
Responsibilities
• Own and evolve Webshare's production infrastructure - lead the migration from Docker Swarm to Kubernetes (or hybrid K8s + Ansible). • Maintain high availability across hundreds of servers and ~50 services. • Drive observability in cooperation with development team. • Establish and enforce IaC practices, CI/CD pipeline reliability, and change management processes. • Participate in the on-call rotation alongside backend developers. • Respond to and lead incident resolution, run post-mortems and drive systematic remediation. • Contribute platform tooling that improves developer experience and reduces infrastructure toil. • Keep backend engineers informed and capable — no silos, shared infrastructure ownership.
Benefits
• Gross salary: 26 000 PLN/month - 34 000 PLN/gross. Keep in mind that we are open to discussing a different salary based on your skills and experience. • Growth & Learning: 40+ internal learning options, external conferences, mentorship, and year-round knowledge-sharing. • Health & Well-being: Private health insurance, gym allowance and a wellness app. • Celebration & Community: Team events, an overseas workation and plenty of ways to mark milestones together. • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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