Senior Staff Engineer, Software, Infrastructure Reliability

Role Description

We're looking for an Infrastructure Engineer to build developer tooling that enables developer velocity and reliability for the entire engineering organization. Our team owns the full end-to-end development lifecycle, from local development tools, CI/CD, dynamic testing environments, deployments, and releases. You’ll be working with the latest cloud-native technologies as you build an infrastructure platform that enables the engineering organization to deliver observability for some of the largest technology companies.

Key Responsibilities

• Architect & Build: Design and maintain high-scale developer tooling and backend services that improve productivity and reliability across a distributed cloud environment.
• Infrastructure as Code (IaC): Define, deploy, and manage entire environments using declarative IaC (Terraform).
• Drive Systemic Quality: Identify and eliminate systemic bottlenecks in the software development lifecycle (SDLC).
• Scale & Reliability: Ensure our infrastructure remains resilient under massive traffic loads, optimizing for performance, cost-efficiency, and near real-time telemetry processing.
• Strategic Leadership & Mentorship: Define platform standards and reference architectures that span a 1–3 year horizon.

Qualifications

• 8+ years of relevant experience.
• Strong experience in at least one backend language (e.g., Go, Java, Python, or Rust).
• A solid understanding of cloud-native concepts and experience working with cloud providers like AWS or GCP.
• Deep knowledge of Linux internals, process management, and resource isolation.
• Understanding of the OSI model, service meshes, load balancing, and "zero-trust" security architectures.
• Experience building and debugging systems that deal with CAP theorem trade-offs, eventual consistency, and distributed tracing.
• A track record of completing assigned tasks/tickets reliably and estimating work effectively within a sprint.
• The ability to debug your own code efficiently using logs and tests.
• Strong communication skills to keep teammates informed and contribute meaningfully to code reviews and design discussions.
• A proactive approach to learning new tools, processes, and libraries.
• Experience or interest in using AI coding assistants (like Cursor or Claude).

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. The starting base salary is expected to be in the annual range of $126,000.00 - $204,500.00/yr.

Our Commitment

We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. We are committed to providing reasonable accommodations for all qualified individuals with a disability.