ファストリー株式会社のSenior Engineer - Cloud and Container Services求人

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. This platform is built on top of multiple public cloud services and contains many Kubernetes ecosystem components. We’re working to scale out our platform to support growth and at the same time evolve to address new business priorities. A successful candidate will help expand our platform feature set, support existing users and onboard new services, and drive efficiency while maintaining a secure platform.

What You'll Do:

Design, build, and operate infrastructure (cloud, Fastly datacenter) to enable reliable and rapid deployment. This includes effective monitoring and resilient operations in a large-scale multi-cloud and hybrid cloud / on-premise environment. The majority of workloads are containerized but some are using native cloud services such as compute and storage.

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.

What We're Looking For:

Experience running high availability systems and supporting distributed infrastructure. Most Senior level Engineers at Fastly have more than 5 years of related experience.

You have designed services with fault tolerance and across geographies.

You have deployed and managed multi-tiered services.

Understanding of Linux systems, high and low level. You have used tcpdump and tracing tools.

Experience building and operating production-grade kubernetes clusters in multiple regions, clouds or data centers. You have experience with tooling in the CNCF space, such as: prometheus, flux, helm, etc.

Experience with programming languages such as Go and Python. You can read code and reason about what it does. You can write code within an existing large code base such as adding features. You can create medium-sized programs from scratch such as custom kubernetes controllers, custom prometheus exporters, and building tooling to help manage infrastructure.

Experience with infrastructure and configuration management tooling. You have used Terraform to manage infrastructure.

Experience provisioning and managing users and resources with cloud providers such as AWS and GCP. You have provisioned users and accounts using both graphical user interfaces and infrastructure as code frameworks. You have experience provisioning components on public cloud and understand how they work together in creating a multi-tiered service. You have deployed and managed services built on top of public cloud components such as EC2, S3, and GKE.

Experience with CI/CD and GitOps tooling. You can iterate infrastructure via pipelines through code changes. You have experience using Github including creating and reviewing pull requests.

Experience with monitoring tools such as Prometheus, Datadog and Grafana.

Experience working on a distributed team. You have experience collaborating across timezones. You can articulate challenges of distributed teams and how you mitigate them.

Experience leveraging AI tooling to accelerate your work and enable new capabilities. You have used tooling like Claude Code and created skills or agents with demonstrated success in unlocking you, your team, and/or the company to achieve more.

Work Hours:

This position will require you to be available during core business hours and occasional nights and weekends as necessary to support on-call coverage.

Work Location(s) & Travel Requirements:

The preferred locations for this position are:

San Francisco, CA, USA
Denver, CO, USA
New York, NY, USA

Fastly currently embraces a largely hybrid model for most roles which allows employees flexibility to split their time between the office and home. There is a strong preference for Hybrid near a local office. However, we may be willing to consider remote candidates within the US, UK or Canada. This position may require travel as required by your role or requested by your manager.

Salary:

The estimated salary range for this position when hired in the US is $181,220 to $217,464. Starting salary may vary based on permissible, non-discriminatory factors such as experience, skills, qualifications, and location. This role may be eligible to participate in Fastly’s equity and discretionary bonus programs.