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Headway

Senior Software Engineer - Infrastructure

Headway is hiring a Senior Software Engineer - Infrastructure for a remote role open to applicants in United States. It pays $183k-$279k a year and Level rates it ; you can apply on Headway.

Level's read on this job

  • Level rates this software engineer role Little AI ●○○○: aI is not part of the work.
  • The listed pay starts 9% above the typical software engineer posting on Level.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include AWS, FastAPI and Python.
  • Level lists 90 other open roles at Headway.

AI in this role

Senior software engineer for cloud infrastructure supporting mental healthcare applications and AI platforms.

awsfastapipython
cloud-infrastructurescalabilityplatform-engineeringobservability

1 in 4 people in the US have a treatable mental health condition, but most providers don't accept insurance, making therapy too expensive for most people. Headway’s mission is to fix this by building a new mental healthcare system everyone can access. We started by solving the biggest barrier to care: insurance. The admin work - credentialing, claims, payment reconciliation - is a nightmare. We've automated that.

But we're going further. Over 90,000 providers across all 50 states run their practice on our software, serving over 2.6 million patients. We are building the best tools for therapists to run their entire practice, reimagining the experience of finding a therapist, and investing in the platform foundations to enable this at scale, and building much of it with AI. We aren't just a billing layer; we are becoming the platform where care actually happens.

We're a Series D company with $325M+ in funding (a16z, Accel, Spark Capital, etc.), looking for exceptional people to help us achieve this mission. We want your time here to be the most meaningful experience of your career. Join us, and help change mental healthcare for the better.

The Role

Architect and own the cloud platform that every engineer at Headway deploys on. Make deploys boring, scaling automatic, infrastructure self-serve, and cost attributable.

About Infrastructure Engineering at Headway

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.

About This Role

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.

What You'll Own

  • 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.

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.

Experience we're seeking:

  • 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

Nice to have:

  • FinOps and cloud cost optimization experience

  • Kubernetes and EKS depth

  • Observability tooling at scale (Datadog)

  • Experience in healthcare or other regulated environments

We believe a team's strength is in its people, and we cannot achieve this mission without a team that reflects the diversity of this problem – across race, ethnicity, gender, sexuality, age, national origin, religion, family status, disability, military status, and experience. Headway is committed to the full inclusion of all qualified individuals. As part of this commitment, Headway will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or receive other benefits and privileges of employment, please inform the recruiter when they contact you to schedule your interview.

Headway participates in E-Verify. To learn more, click here.

A notice to Headway applicants: To protect yourself against phishing and recruitment fraud, please note that Headway only accepts applications through our official careers page at https://headway.co/careers. Headway will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. All official communication will come from a @findheadway.com email address. If you are contacted by someone claiming to be from Headway via an unofficial channel, please do not share any information and report it as spam.

How we rate this

Senior Software Engineer - Infrastructure at Headway rates 15 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Cloud InfrastructureScalabilityPlatform EngineeringObservabilityAWSFastAPIPython

Also common in software engineer jobs at this level

Pay

This job starts at
$183k
Typical software engineer job
$167k

This posting starts 9% above the typical software engineer job. See software engineer jobs

Questions you could be asked

  1. Tell me about a project where cloud infrastructure was part of your work. What did you do?
  2. Tell me about a project where scalability was part of your work. What did you do?
  3. Tell me about a project where platform engineering was part of your work. What did you do?
  4. Tell me about a project where observability was part of your work. What did you do?
  5. Walk me through how you've used AWS in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Cloud Infrastructure, Scalability, Platform Engineering, Observability, and AWS. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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