zeely - Senior DevOps Engineer (Infrastructure)
Requirements
• 6+ years of hands-on commercial DevOps experience. • 5+ years of practical AWS experience, including EKS, EC2, RDS, SQS, S3, OpenSearch, and related infrastructure components. • Strong Kubernetes administration and troubleshooting skills, preferably with EKS. • Advanced Terraform experience, including reusable modules, state management, and multi-provider infrastructure. • Hands-on experience with GCP, ideally including BigQuery, Compute Engine, or infrastructure supporting data pipelines. • Strong Linux, networking, and security fundamentals. • Experience taking ownership of production infrastructure, observability, alerting, and incident response. • The ability to make technical decisions, explain trade-offs, and drive improvements through to implementation. • Upper-Intermediate English / B2 or higher, including communication with external providers and technical stakeholders. • Fluent Ukrainian for day-to-day team communication. • Availability to collaborate during CET/EET working hours. • Experience with Cloudflare, including R2, caching, or edge services. • Experience with Hetzner infrastructure. • Experience optimizing OpenSearch or ELK stack performance. • Experience deploying, operating, or monitoring infrastructure for AI/ML workloads. • Experience with FinOps and cloud cost optimization. • Experience leading infrastructure initiatives or mentoring engineers.
Responsibilities
• Own and improve AWS infrastructure, including EKS, EC2, RDS, SQS, S3, OpenSearch, and related services, balancing reliability, scalability, performance, and cost. • Manage and scale GCP environments supporting AI services, data pipelines, and analytics workloads, including BigQuery. • Maintain supporting infrastructure across Cloudflare and Hetzner, including networking, edge services, and production traffic routing. • Develop and maintain Infrastructure as Code with Terraform, building reusable modules and consistent practices across cloud providers. • Operate and improve Kubernetes production environments, including availability, autoscaling, troubleshooting, and deployment stability. • Strengthen observability across metrics, logs, traces, and APM, improving visibility into application and infrastructure performance. • Improve monitoring and alerting to reduce noise, surface actionable issues, and support effective incident response. • Partner with engineering teams to improve CI/CD pipelines, release reliability, and developer experience. • Contribute to infrastructure architecture and our multi-cloud strategy, with a primary focus on AWS and GCP. • Drive cloud cost optimization and FinOps practices while maintaining performance and reliability. • Participate in on-call rotations (L2), investigate critical infrastructure incidents, and turn findings into lasting improvements.
Benefits
• Infrastructure ownership with room to shape decisions. Influence architecture, standards, and the way engineering teams deploy and operate the product. • Scale with a proven business. Support a profitable AI platform used by more than 2M businesses as we expand into B2B and enterprise. • Meaningful engineering challenges. Work across AI workloads, Kubernetes, multi-cloud infrastructure, observability, and deployment automation. • An experienced engineering team. Collaborate with specialists who value autonomy, clear reasoning, and practical results. • Remote-first work, with access to our offices in Warsaw and Kyiv. • Performance reviews twice a year, with clear goals and conversations about your development, impact, and compensation. • Recruitment Process: • Recruiter interview → Technical interview → Final interview with the Principal System Architect and COO / Co-Founder → Reference check → Job offer. • Send us your CV — we’d love to get to know you! 💚
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