DevOps Engineer

Senior-level DevOps Engineer with 4+ years of experienceC1 English level or higherAdvanced Kubernetes orchestration and cluster managementStrong Python; Rust experience for high-performance infrastructure toolingProduction experience with AWS RDS and managed database servicesHands-on experience using AI coding agents and automation tools for DevOps workflowsProven track record building scalable, automated CI/CD pipelinesSkillsKubernetesPythonRustAWS RDSCI/CDAI Coding Agents Design, build, and maintain automated CI/CD pipelines that scale with workload demandsImplement and lead adoption of AI-powered development workflows to accelerate deliveryArchitect efficient, scalable deployment systems supporting critical production workloadsEnsure post-deployment stability, security, and continuous infrastructure optimizationDrive operational leverage through automation that enables small teams to deliver outsized impact This role centers on designing, automating, and optimizing deployment infrastructure for AI-driven workflows. You will build robust CI/CD pipelines and implement AI-powered automation tools (such as Claude Code, GitHub Copilot CLI, etc.) to maximize engineering efficiency. The goal is to create systems that enable a lean technical team to operate at significantly higher output than traditional staffing models would require. You will own the full infrastructure lifecycle: architecture, deployments, and stability. This includes Kubernetes orchestration, managed database services (AWS RDS), and high-performance tooling in Python and Rust. Basic React knowledge is needed to understand frontend integration points. Success is measured by operational leverage: your automation should allow 1-2 engineers to deliver what typically requires 3-5. This demands deep expertise in infrastructure as code, proactive optimization, and practical application of generative AI tools to DevOps workflows. React