Remote
Software Engineer (Golang)
About this role
About the product: Our company specializes in building cutting-edge Managed DNS infrastructure solutions that ensure high availability, reliability, and security. We focus on delivering robust DNS services, including authoritative DNS servers, DNS APIs, DNSSEC, and DNS failover mechanisms, seamlessly integrated with our advanced Traffic Management System. Our goal is to provide scalable and efficient DNS solutions that empower businesses to manage their traffic with ease and confidence.
What You Will Do: As a Software Engineer, you'll collaborate with a dynamic team focused on innovation and excellence. Your role will be pivotal in developing and maintaining our Traffic Management System, which steers client traffic for performance, availability, and resilience About the role: Design, build, and maintain the Traffic Management System API (a Go service) to manage routing and traffic-steering configuration across our global edge fleet.
Develop the agent that renders and applies routing configuration on edge nodes, reliably driving desired state from the API out to the edge. Build and extend BGP and Anycast routing capabilities, including config rendering, peer-group and route-map support, and prefix filtering, as we consolidate edge routing onto a single control plane. Develop and maintain automated failover and high-availability solutions, including non-stop maintenance mode and capacity- and health-aware traffic offloading from saturated points of presence.
Strengthen reliability through strong test coverage (config rendering and end-to-end pipeline tests), metrics, and observability across the routing pipeline. Collaborate with cross-functional teams to optimize system performance, reliability, and resiliency. Required qualifications & skills: At least 5 years of experience in software engineering and 3+ years' experience with Go. Proven ability to work independently with minimal supervision, owning work end-to-end and communicating proactively.
Comfort with working in Linux environments. Background in DevOps practices, with a focus on infrastructure as code, CI/CD pipelines, and system monitoring tools. Familiarity with service-level indicators (SLIs), objectives (SLOs), and agreements (SLAs) and their application in maintaining system reliability. Proven experience in incident management, including handling and resolving production issues effectively. Nice to have qualifications & skills: Hands-on experience with AI coding assistants (e.g., Claude Code, Copilot, Cursor) and agentic workflows for automation or ops tasks.