Staff Engineer, Edge Config Systems (Go/Perl)

Fastly

San Francisco (CA)

Hybrid

USD 211,000 - 254,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, and vision insurance
401(k) with company match
Employee Stock Purchase Program
Paid holidays and wellness days

Job summary

Fastly’s Control Systems team translates customer intent into configuration data powering Fastly’s edge. As a Staff Software Engineer, you’ll join engineers solving high-availability challenges and shaping core infrastructure across the organization.

You’ll drive architecture, mentor peers, and lead complex multi-team projects from design to deployment, including on-call responsibilities. A strong background in Go, Perl, and distributed systems is essential, as is comfort with remote

Qualifications

  • 7+ years of experience building highly reliable distributed systems.
  • Strong Go programming language knowledge.
  • Willingness to learn Perl to support core infrastructure.
  • Ability to lead cross-team projects and influence outcomes.
  • Strong communication in a remote, asynchronous work environment.

Responsibilities

  • Support, deploy, and manage large-scale Perl production systems.
  • Evolve legacy systems into maintainable Go microservices.
  • Provide technical leadership and coordinate with stakeholders.
  • Collaborate across teams to meet feature requirements.
  • Mentor engineers and foster knowledge sharing.
  • Participate in on-call rotation.

Skills

Go
Distributed systems
Cross-team collaboration
Remote work
Mentoring

Tools

Kubernetes
Docker
Perl
Prometheus
Grafana

Job description

Fastly’s Control Systems team translates customer intent into configuration data powering Fastly’s edge. As a Staff Software Engineer, you’ll join engineers solving high-availability challenges and shaping core infrastructure across the organization.

You’ll drive architecture, mentor peers, and lead complex multi-team projects from design to deployment, including on-call responsibilities. A strong background in Go, Perl, and distributed systems is essential, as is comfort with remote

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