Staff Engineer, Developer Infrastructure

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and manage the developer infrastructure for Ava Labs' Platform Engineering teams.

• Collaborate with Platform Engineering to gain insights into development, testing, release, observability, and debugging processes.

• Enhance CI/CD pipelines utilizing Bazel and GitHub Actions for unit, end-to-end, performance, and release-critical testing.

• Optimize the provisioning, inspection, comparison, and decommissioning of both ephemeral and long-running test environments.

• Advance observability infrastructure to analyze data across different runs, versions, and configurations.

• Strengthen the accuracy and robustness of consensus, networking, and protocol-adjacent systems through comprehensive testing, fuzzing, chaos engineering, and failure-oriented test design.

• Transform recurring challenges faced by the team into effective tools, automation, and documentation.

• Convey technical context through design reviews, illustrative examples, and technical writing.

• Troubleshoot flaky tests, enhance release checks, refine documentation, evaluate tool adoption, and ensure the system remains beneficial.

⛳️ Requirements

• 7+ years of experience in writing production-level software.

• Proficient in Go and/or Rust.

• Familiarity with extensive legacy codebases involving multiple teams and shared ownership boundaries.

• Experience in building or significantly enhancing developer infrastructure, CI/CD systems, testing frameworks, observability tools, or similar engineering productivity systems.

• Strong commitment to testing and an ability to identify and pragmatically alleviate bottlenecks.

• Practical knowledge of Linux, containers, and infrastructure-as-code.

• Preferred: Experience with GitHub Actions or comparable CI/CD systems; Bazel or similar build systems.

• Preferred: Background in distributed systems, blockchain infrastructure, consensus systems, P2P networking, or other high-reliability systems.

• Preferred: Familiarity with Kubernetes or similar orchestration frameworks.

• Preferred: Experience in large-scale observability including tracing, profiling, and metrics.

• Preferred: Utilizing data to inform performance optimization.

• Preferred: Knowledge of chaos engineering, fuzzing, property-based testing, and failure-injection systems.

• Ability to operate at a Staff level and create or transform workstreams that other teams rely on.

🏝️ Benefits

• Token and equity package.

• Remote work arrangement.

• Global team environment.

• Equal Opportunity Employer.