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Senior Software Engineer

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Remote

Senior Software Engineer

Headway

Senior Software Engineer

Skills

PythonDatadogAIAWSKubernetesTerraform

20 days ago

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Important information


Salary:

$182,750 – $278,500 / year

Location:

United States

Work mode:

Remote

Published on:

8 October 2026

What they need


Who you are

  • A senior engineer who combines deep cloud and infrastructure expertise with the instincts to drive alignment across teams
  • You thrive in ambiguity, operate with a high degree of ownership, and are as comfortable setting technical direction as you are building
  • You make other engineers better through architecture reviews, runbooks, and paved-road tooling that raises the baseline for everyone who ships on the platform
  • 5 or more years in platform, infrastructure, or SRE roles at companies running significant production traffic
  • Deep AWS expertise and production ownership of compute and networking at scale (ECS, EKS, RDS, networking, IAM)
  • Strong infrastructure-as-code experience, particularly Terraform, including designing self-serve platforms for other engineering teams
  • Hands-on autoscaling and capacity engineering, and container orchestration with ECS and/or EKS
  • Track record making deploys safe and self-serve for other teams, not just your own
  • FinOps and cloud cost optimization experience
  • Kubernetes and EKS depth
  • Observability tooling at scale (Datadog)
  • Experience in healthcare or other regulated environments

What the job involves

  • Building a new mental healthcare system at Headway is only possible because of the scale and leverage that software can provide
  • Infrastructure Engineering is one of three teams in Engineering Foundations, alongside Agentic Engineering and Eddy, Headway's internal AI platform
  • We own the infrastructure Headway runs on, as well as the performance and scalability of Headway's FastAPI/Python monolith, and the AWS infrastructure it runs on
  • We are the paved road the rest of engineering builds on: databases, deploys, asynchronous platform, observability, autoscaling, and self-serve compute infrastructure
  • As AI dramatically increases code velocity across the org, our mandate is to make every change safe from the start and build systems that get safer as they get faster
  • You will be on the Infrastructure team, which owns the cloud platform Headway runs on
  • You will be the senior engineer driving work to isolate blast radius, make autoscaling trustworthy, and build a self-serve infrastructure platform so that the Infrastructure Engineering team focuses on the strategic and unusual, not the routine
  • Deployment architecture and blast-radius containment. Redesign deployment so that a mistake in one part of our service cannot block or take down others. Continue to drive our shift toward per-service deploy isolation and functional-area slices that contain failures rather than propagating them across the platform
  • Container footprint and networking. Own the ECS and EKS footprint, evaluate broader EKS adoption for AI workloads, and design the next iteration of inter-service network connectivity
  • Capacity and scaling. Own capacity for a spiky workload: floors computed ahead of demand rather than chased by reactive scaling, self-deriving from data, with drift caught early
  • Self-serve infrastructure platform. Build the Terraform self-serve platform with guardrails so engineering teams own their standard infrastructure changes and Reliability Engineering reviews only the non-standard ones
  • Cloud cost attribution and controls. Stand up per-team cost attribution across AWS, Datadog, and LLM spend. Make infrastructure costs visible and attributable so teams can make informed tradeoffs
  • Python runtime and dependency health. Own how the monolith behaves under load: garbage collection, event loop contention, and the runtime limits that bite first. Lead the framework and package upgrades most teams defer

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