Staff Software Engineer - Network Functions and Architecture

Fastly
Denver, CO; New York City, NY; San Francisco, CA$211k – $254kPosted 24 February 2026

Job Description

<div class="content-intro"><p>Fastly helps people stay better connected with the things they love. Fastly’s edge cloud platform enables customers to create great digital experiences quickly, securely, and reliably by processing, serving, and securing our customers’ applications as close to their end-users as possible — at the edge of the Internet. The platform is designed to take advantage of the modern internet, to be programmable, and to support agile software development. Fastly’s customers include many of the world’s most prominent companies, including GitHub, Yelp, Paramount, and JetBlue.</p> <p>We're building a more trustworthy Internet. Come join us.</p></div><p><strong>Posting Open Date: </strong>Reposted Jan 9, 2026</p> <p><strong>Anticipated Posting Close Date*: </strong>Jan 30, 2026</p> <p><em>*Job posting may close early due to the volume of applicants.</em></p> <p><strong>Staff Software Engineer - Network Functions and Architecture</strong></p> <p>We are looking for a talented Staff level Engineer to help design and build the next generation of Fastly’s network telemetry and traffic engineering systems. You will be responsible for designing and building distributed systems to collect network data at large scale via passive and active measurements, process data efficiently and cost-effectively, and use the results to make real-time network configuration decisions for load balancing, traffic engineering and failover purposes. </p> <p><strong>What You'll Do:</strong></p> <ul> <li>Lead full lifecycle projects from design and development through roll out and maintenance to build systems that make automated network configuration decisions for load balancing, traffic engineering and failover purposes, </li> <li>Design and build systems to collect, normalize, enrich, transport, and process data from heterogeneous sources across a rapidly scaling network</li> <li>Study and apply concepts from control theory, optimization and statistics to tackle traffic engineering problems</li> <li>Design and build pipelines for generating, testing and deploying changes to distributed systems that control Fastly's edge network</li> <li>Design and build software systems to run on network equipment for controlling their dataplane configuration</li> <li>Technical leadership of full lifecycle projects, driving project progress and collaborating with project stakeholders - Coordinate and communicate with the team members and across other technical and cross functional teams</li> <li>Write code that is performant, maintainable, clear, and concise and contribute to code reviews, improving the codebase and other team processes</li> <li>Mentor and support other engineers, fostering a culture of knowledge sharing, innovation, and collaboration within the team</li> <li>Participate in on-call rotation as needed</li> </ul> <p><strong>What We're Looking For: </strong></p> <ul> <li>Significant professional experience building high-reliability distributed systems. Most Staff Engineers at Fastly have more than 7 years of related experience.</li> <li>Solid understanding of the Go programming language</li> <li>Strong network engineering experience including load balancing, traffic engineering, etc.</li> <li>Consistent track record of designing and implementing large-scale and mission-critical distributed software systems</li> <li>Understanding of the challenges involved in building, operating, and maintaining scalable and reliable data processing systems</li> <li>Experience mentoring, guiding, and coaching team members</li> <li>Ability to learn new skills and share what you’ve learned with the broader team</li> </ul> <p><strong>We’ll be super impressed if you have experience in any of these: </strong></p> <ul> <li>Real-world experience in the protocols and practices that make up the fabric of the global internet, including IP, BGP, Anycast, and DNS</li> <li>Understanding of control theory, optimization, probability or statistics as well as experience applyi ... (truncated, view full listing at source)
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