Remote Senior Cloud Platform Engineer: Kubernetes

Huntress; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Generous paid time off

Parental leave (12 weeks)

Medical, dental, and vision benefits

401(k) with 5% company contribution

Job summary

Huntress is hiring a cloud infrastructure engineer to design and enhance multi-region cloud environments and build scalable tooling using Go, Ruby, or Python. You will deploy production-grade Kubernetes controllers and infrastructure code with Terraform and contribute to observability through Datadog.

The role emphasizes remote-first work, strong ownership, and improving reliability, cost efficiency, and capacity planning across cloud platforms.

Qualifications

• 7+ years of experience managing Linux-based cloud infrastructure.
• Deep expertise in multi-region or multi-cloud resilience.
• 3+ years of hands-on experience orchestrating production workloads in Kubernetes.
• Strong coding proficiency in Go, Ruby, or Python for building scalable infrastructure tools.

Responsibilities

• Design and enhance cloud infrastructure across multi-region and multi-cloud environments to improve service reliability, cost, and capacity failover.
• Author custom Kubernetes tools, controllers, and infrastructure code using Terraform, Go, Python, or Ruby.
• Support and extend observability infrastructure using Datadog to give deep visibility into system health and platform performance.

Skills

Linux administration

Multi-region / multi-cloud resilience

Kubernetes production workloads

Go, Ruby, Python tooling

Tools

Terraform

Datadog

Job description

Huntress is hiring a cloud infrastructure engineer to design and enhance multi-region cloud environments and build scalable tooling using Go, Ruby, or Python. You will deploy production-grade Kubernetes controllers and infrastructure code with Terraform and contribute to observability through Datadog.

The role emphasizes remote-first work, strong ownership, and improving reliability, cost efficiency, and capacity planning across cloud platforms.