Senior Engineer - Production Cloud and Container Services

Rounx Limited; Denver (CO); Hybrid; USD 181,000 - 217,000; Full time

Job summary

Fastly is seeking a Senior Engineer to join its Cloud and Container Services team, focusing on scaling and managing a Kubernetes-based control plane platform. You will design and operate infrastructure across cloud and datacenter environments, diagnosing performance and reliability issues while deploying complex applications.

Ideal candidates have 5+ years in high availability and distributed systems, with Go and Python expertise.

Qualifications

• Requires 5+ years in high availability and distributed infrastructure.
• Strong Kubernetes cluster management experience.
• Proficiency in Go and Python.

Responsibilities

• Design and operate infrastructure across cloud and datacenter environments.
• Diagnose performance and reliability issues in production.
• Deploy complex applications and automate maintenance and deployment processes.
• Collaborate with internal users and drive projects across time zones.
• Configure operations within a multi-cloud environment.

Skills

Go

Python

Distributed systems

High availability

Tools

Terraform

Prometheus

Grafana

CI/CD pipelines

AWS

GCP

Job description

Fastly is seeking a Senior Engineer to join its Cloud and Container Services team, focusing on scaling and managing the company's Kubernetes-based platform for control plane services. The role involves designing and operating infrastructure across cloud and datacenter environments, diagnosing performance and reliability issues, deploying complex applications, and automating maintenance and deployment processes. Candidates will collaborate with internal users, drive projects across time zones, and configure operations within a multi-cloud environment.

The ideal candidate has more than five years of experience in high availability systems, distributed infrastructure, and Kubernetes cluster management, with proficiency in Go and Python. Experience with Terraform, CI/CD pipelines, monitoring tools like Prometheus and Grafana, and cloud providers such as AWS and GCP is required. Familiarity with CNCF tools, infrastructure automation, and AI-driven development is a plus. The position is based in San Francisco, Denver, or New York, with hybrid work options available. Salary range in the U.S. is $181,220 to $217,464.