Staff Platform Engineer: Remote Kubernetes & Cloud Resilience

Huntress; United States; Remote; USD 200,000 - 220,000; Full time

Benefits offered by this job

Remote work

Paid time off

Parental leave

Medical, dental, vision

401(k) with company contribution

Stock options

Home office stipend

Education stipend

Digital reimbursement

Coaching access

Job summary

Huntress, a remote-first cybersecurity company, is seeking a Staff Platform Engineer to design, monitor, and scale the core cloud infrastructure behind our security platform. You will own platform resilience across multi-region environments and contribute to key roadmap initiatives.

You'll work with Kubernetes controllers, Terraform, and AI coding agents while maintaining focus on reliability, performance, and measurable outcomes.

Qualifications

• 7+ years of experience managing Linux-based cloud infrastructure.
• Deep expertise in multi-region or multi-cloud resilience.
• Hands-on experience with Kubernetes and production workloads.

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
• Diagnose and fix complex production issues, performance bottlenecks, and resource constraints across cloud environments
• Collaborate across engineering teams to guide software architecture choices and eliminate infrastructure pain points

Skills

Go

Ruby

Python

Tools

Terraform

Kubernetes

Datadog

Job description

Huntress, a remote-first cybersecurity company, is seeking a Staff Platform Engineer to design, monitor, and scale the core cloud infrastructure behind our security platform. You will own platform resilience across multi-region environments and contribute to key roadmap initiatives.

You'll work with Kubernetes controllers, Terraform, and AI coding agents while maintaining focus on reliability, performance, and measurable outcomes.