Senior Engineer - Cloud and Container Services

Denver · New York City, NY · San Francisco · USD 181,220-217,464 · 5+ years experience · Hybrid · Posted Sep 25, 2026

At a glance

Fleet Operations and Production Engineering at Fastly is looking for a Senior Engineer to join our Cloud and Container Services team.
This role is focused on helping to scale and manage Fastly’s Kubernetes based platform for control plane services, built on top of multiple public cloud services.

Design, build, and operate infrastructure (cloud, Fastly datacenter) to enable reliable and rapid deployment.
Diagnose and resolve performance and reliability issues across the stack: application, operating system, network, 3rd party services and APIs, including cross-application dependencies.
Deploy and support complex 3rd party and internally developed applications.
Write tools to automate maintenance and deployment of servers, services, and applications.
Collaborate with internal users and continually evolve the platform and its operations using solid engineering practices.
Drive projects sometimes independently and sometimes collaboratively across time zones.
Configure access and manage operations within a multi-cloud environment.

Experience running high availability systems and supporting distributed infrastructure.
Designed services with fault tolerance and across geographies.
Deployed and managed multi-tiered services.
Understanding of Linux systems, high and low level, with experience using tcpdump and tracing tools.
Experience building and operating production-grade kubernetes clusters in multiple regions, clouds or data centers, with tooling in the CNCF space such as prometheus, flux, helm, etc.
Experience with programming languages such as Go and Python.
Experience with infrastructure and configuration management tooling such as Terraform.
Experience provisioning and managing users and resources with cloud providers such as AWS and GCP.
Experience with CI/CD and GitOps tooling, and using Github including creating and reviewing pull requests.
Experience with monitoring tools such as Prometheus, Datadog and Grafana.

Embraces a largely hybrid model allowing employees flexibility to split time between office and home, with a strong preference for Hybrid near a local office.
May be willing to consider remote candidates within the US, UK or Canada.
May require travel as required by the role or requested by the manager.

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