Staff Rust Engineer - Edge Compute Platform (Remote)

Fastly, Inc.; Los Angeles (CA); Hybrid; USD 211,000 - 254,000; Full time

Benefits offered by this job

Equity

Discretionary bonus programs

Job summary

Fastly, Inc. is seeking a Staff Software Engineer for the Compute Platform to scale our edge compute infrastructure. You’ll work on an advanced serverless platform built on open standards, enabling customers to run code securely at the edge with microsecond cold starts.

You will design high-quality APIs, collaborate across teams, and contribute to open source projects like Wasmtime while ensuring performance and reliability at scale.

Qualifications

• At least 7 years of software development experience, with at least 3 in high-reliability systems programming, ideally in Rust.
• Comfortable writing asynchronous, concurrent code
• A willingness to dive into and learn bleeding-edge and developing technologies

Responsibilities

• Coordinate and communicate seamlessly with the team members and across other technical and product teams
• Contribute to code reviews, improving the codebase and other team processes
• Manage projects from a technical lead role driving project progress and communicating project status to stakeholders
• Write platform-level code in Rust that handles host concerns like back pressure, resource limits, and interactions with other services
• Analyze and address performance and stability issues to meet high scale requirements
• Be responsible for a large scale production system with extremely high performance and availability requirements

Skills

Rust

Asynchronous code

High reliability

Cross-team collaboration

API design

Performance optimization

Tools

Wasmtime

Job description

Fastly, Inc. is seeking a Staff Software Engineer for the Compute Platform to scale our edge compute infrastructure. You’ll work on an advanced serverless platform built on open standards, enabling customers to run code securely at the edge with microsecond cold starts.

You will design high-quality APIs, collaborate across teams, and contribute to open source projects like Wasmtime while ensuring performance and reliability at scale.