Software Engineer (Platform Observability and Intelligence)

Fastly

San Francisco, United States Posted October 28, 2026

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On-site Full-time Mid level
Salary Range

$155,370 - $186,444

Job Description

Join Fastly's Platform Observability and Intelligence (POI) team as a full-stack software engineer. In this mid-level position, you will design, build, and maintain software and platform capabilities that enhance Fastly's internal observability function and developer experience. You will work collaboratively with your team, take ownership of your assigned tasks, and participate in on-call rotation as required. This role offers a range of benefits, including generous parental leave, health and wellness support, retirement plans, and opportunities for ongoing learning and development.

  • Contribuer à la conception, à la construction et à la maintenance des logiciels et des capacités de plateforme qui alimentent la fonction d'observabilité interne de Fastly.
  • Participer au développement de notre portail de développeurs interne, en aidant les équipes d'ingénierie à découvrir les services, la documentation et les outils opérationnels.
  • Travailler avec votre équipe pour décomposer les exigences du projet en tâches concrètes et prendre en charge votre travail assigné jusqu'à son achèvement.
  • Experience with SQL and database-driven applications
  • Experience working with distributed systems or cloud-based services, and an interest in developing deeper expertise in operating and debugging them
  • Experience working with Linux systems and the shell
  • Ways of working:
  • Experience in a statically typed, modern back-end language (Go, Java, Rust, etc.)
  • Clear, thoughtful writing and communication. You understand that a precise Slack message, a well-written pull request description, or a clear explanation to a teammate is just as important as the code itself
  • A proactive disposition. You take ownership of your responsibilities. When you finish a task, you look for the next useful thing. When you see something that could be better, you say so
  • A service mindset. The people who use our tools depend on them to do their jobs. You care about their experience, you're approachable when they have questions, and you follow through and close the communication loop
  • 2+ years of professional software engineering experience, with demonstrated ability to deliver quality work on reasonably well-defined projects with limited oversight
  • A desire to grow in your skills, knowledge, and scope. Enthusiasm for learning new technologies
  • Comfort working within lightweight agile processes. You participate constructively in planning and retrospectives, and you see team rituals as tools for coordination, productivity, and collaboration
  • Strong debugging skills: forming hypotheses and narrowing down causes methodically. You’re willing to step outside your primary area of expertise to get to the bottom of something
  • Experience in modern front-end frameworks (React, etc.), or a willingness to dive in and become proficient
  • Comfort with large and unfamiliar codebases: jumping into a system you didn't build, figuring out the context, and contributing with confidence. Our stack is broad, and you will regularly work in code you haven't seen before, including code written at Fastly and open-source codebases
  • Backstage or other internal developer portal frameworks, open-source software in general
  • Enterprise-scale observability systems (e.g., Prometheus, Grafana, Splunk, Datadog, ELK, or similar
  • Data science and data engineering, capacity planning, cost modeling, or FinOps practices
  • Cloud platforms (AWS/GCP), orchestration (Kubernetes), infrastructure-as-code tools (Terraform, Ansible, Chef)
  • Network protocols and infrastructure, datacenter infrastructure, physical server administration
  • Training, teaching, or developing documentation and educational materials for internal tools
Required Skills
software development collaboration SQL Linux Java Rust communication Slack Agile React Prometheus Grafana Splunk Datadog data science data engineering
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