Principal Engineer - Developer Infrastructure (Chronosphere)

Experteer Overview In this role you will build and maintain high-scale developer tooling and backend services to boost engineering velocity and reliability.You will work in a cloud-native, 100% ephemeral infrastructure environment, shaping the observability platform used by large tech customers.You’ll define platform standards and mentor teams, driving scalable, efficient infrastructure across the SDLC.This position offers impact across a global team and exposure to cutting-edge cloud-native tech, AI-assisted development, and strategic platform work.Compensaciones / Beneficios - Architect and build high-scale developer tooling and backend services across a distributed cloud environment - Implement infrastructure as code (Terraform) to create reproducible environments - Identify and eliminate bottlenecks in the SDLC through architectural changes and tooling - Scale and ensure reliability under heavy traffic while optimizing cost and telemetry latency - Provide strategic leadership and mentorship to establish platform standards and reference architectures across 1-3 yearsResponsabilidades - 8+ years of relevant experience - Proficiency in at least one backend language (Go, Java, Python, or Rust) - Cloud-native experience with AWS or GCP; Kubernetes familiarity - Deep Linux knowledge (OS, compute, process management) - Understanding of networking, security, service meshes, load balancing, and zero-trust architectures - Experience with distributed systems, CAP theorem, and tracing - Track record of reliable delivery and effective sprint planning - Strong communication and collaboration skills - Continuous learning mindset and openness to feedback - Interest or experience with AI-assisted development tools (e.G., Cursor, Claude)Requisitos principales -

You’ll define platform standards and mentor teams, driving scalable, efficient infrastructure across the SDLC., balancing, and zero-trust architectures - Experience with distributed systems, CAP theorem, and tracing - Track record of reliable delivery and effective sprint planning - Strong communication and collaboration skills - Continuous learning mindset and openness to feedback - Interest or experience with AI-assisted development tools (e.G., Cursor, Claude)Requisitos principales -