Staff Cloud Platform Engineer: Scale & Self-Serve Infra

Headway

United States

Remote

USD 180,000 - 240,000

Full time

14 days+
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Job summary

Headway is seeking a technical leader to architect and own the cloud platform used by every engineer. You will isolate blast radius, automate scaling, and build a self-serve infrastructure platform so the team focuses on strategic work.

You will also anchor Headway’s compute, networking, and deployment platform with Staff-level influence across teams. You will guide deployment safety, optimize container footprints (ECS/EKS), and drive capacity planning, cost attribution, and reliability reviews

Qualifications

  • 8+ years in platform, infrastructure, or SRE roles at high-traffic companies.
  • Deep AWS expertise with compute and networking at scale (ECS, EKS, RDS, IAM).
  • Strong IaC experience, especially Terraform, with self-serve platforms.
  • Hands-on autoscaling and capacity engineering with container orchestration.

Responsibilities

  • Own deployment architecture and blast-radius containment.
  • Lead ECS/EKS footprint decisions and network connectivity.
  • Own capacity planning and scalable design based on data.
  • Build a Terraform self-serve platform with guardrails.
  • Implement per-team cost attribution and cloud cost controls.
  • Own Python runtime health and framework upgrades for the monolith.

Skills

Platform experience
Infrastructure
SRE
AWS
Terraform
Autoscaling
Deployment safety
Staff-level influence

Education

Bachelor's degree in CS or related

Tools

AWS ECS
AWS EKS
RDS
Datadog
Terraform
Kubernetes
IAM

Job description

Headway is seeking a technical leader to architect and own the cloud platform used by every engineer. You will isolate blast radius, automate scaling, and build a self-serve infrastructure platform so the team focuses on strategic work.

You will also anchor Headway’s compute, networking, and deployment platform with Staff-level influence across teams. You will guide deployment safety, optimize container footprints (ECS/EKS), and drive capacity planning, cost attribution, and reliability reviews

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