Software Engineer - Platform Observability and Intelligence

New York City, NY · San Francisco · USD 155,370-186,444 · 2+ years experience · Hybrid · Posted Oct 6, 2026

At a glance

Fastly is looking for a full-stack software engineer to join its Platform Observability and Intelligence (POI) team.
This is a generalist, mid-level position ideal for someone with a few years of experience who is seeking to grow their career.
The role involves contributing to Fastly's internal observability stack, internal developer portal, and related internal tools.

Design, build and maintain software and platform capabilities that power Fastly’s internal observability function and developer experience
Contribute to the development of our internal developer portal, helping engineering teams discover services, documentation, and operational tooling all in one place
Work with your team to break down project requirements into concrete tasks, and take ownership of your assigned work through to completion
Debug and resolve issues across the software stack, from datacenter hardware to the browser, often spanning multiple services and data sources
Communicate clearly about the status of your work and any problems you encounter
Collaborate with other engineers on the team by providing thoughtful code review and sharing context and knowledge
Participate constructively in team planning and retrospectives
Participate in on-call rotation as required, and respond to incidents within the team's SLA while on-call

2+ years of professional software engineering experience, with demonstrated ability to deliver quality work on reasonably well-defined projects with limited oversight
Experience in a statically typed, modern back-end language (Go, Java, Rust, etc.)
Experience in modern front-end frameworks (React, etc.), or a willingness to dive in and become proficient
Experience with SQL and database-driven applications
Experience working with Linux systems and the shell
Experience working with distributed systems or cloud-based services, and an interest in developing deeper expertise in operating and debugging them
Comfort with large and unfamiliar codebases
Strong debugging skills

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)
Cloud platforms (AWS/GCP), orchestration (Kubernetes), infrastructure-as-code tools (Terraform, Ansible, Chef)
Data science and data engineering, capacity planning, cost modeling, or FinOps practices
Network protocols and infrastructure, datacenter infrastructure, physical server administration
Training, teaching, or developing documentation and educational materials for internal tools

Position is open to hybrid and remote work locations
There is a strong preference for hybrid near a local office
Position may require travel as required by your role or requested by your manager

Show all 15 skills