Senior Infrastructure Engineer, Tennr
$200-230k
Offers Equity • Offers Bonus
4+ days a week in office (Hudson Square, NYC)
Automation platform for healthcare operations
Be an early applicant
Automation platform for healthcare operations
201-500 employees
Be an early applicant
$200-230k
Offers Equity • Offers Bonus
4+ days a week in office (Hudson Square, NYC)
201-500 employees
Company mission
To ease the administrative burdens on healthcare providers.
Role
Who you are
- 5–8 years in infrastructure, platform, or DevOps engineering, with real ownership of production systems
- Hands-on depth with Kubernetes (EKS preferred) and Terraform or comparable infrastructure-as-code
- Solid AWS fundamentals: networking, IAM, and the core services a modern platform runs on
- Experience with Datadog or a comparable observability stack, and a point of view on what good looks like
- Comfortable executing autonomously
- A pragmatic bias toward simple, durable systems, and toward shipping over gold-plating
- Bonus: experience in a regulated or healthcare (HIPAA / PHI) environment
What the job involves
- You’ll be the senior builder on Tennr’s Infrastructure team, owning the cloud, clusters, and environments that everything else runs on. This is a hands-on, high-ownership role: you’ll help design our Kubernetes foundation, run dev, staging, and production end to end, and keep our AWS footprint clean, secure, and reliable as we scale
- We’re looking for someone who executes fast but doesn’t just take orders. The patterns you set and the guardrails you establish are the ones the rest of engineering will inherit
- Help build out our EKS cluster module and the patterns other teams inherit from it
- Own cluster management and the dev, staging, and production build-out end to end
- Drive and unblock infrastructure migrations, keeping them safe, staged, and low-drama
- Lead the consolidation of our infrastructure observability onto Datadog and set the standards other teams build on
- Own AWS building and maintenance - networking, IAM, and core services as infrastructure-as-code. Keeping the environment secure-by-default and cost-aware
Our take
In the healthcare system, there are inefficiencies associated with the referral process to specialists. Often coming in various forms, from email to fax, without any standardized structure, this leads to administrative burdens and significant delays in patient care.
Tennr has developed a machine learning and document scanning platform that automates the extraction of relevant information from referrals and facilitates faster appointment scheduling. With its focus solely on the healthcare industry, it addresses the complexities of medical terminology and ensures doctors, clinics and insurers stay informed throughout the process.
It's had a successful start, customers reporting significant improvements in their workflows, signalling strong market demand for the solution. This success is accompanied by strong funding, enabling the company to focus on accelerating its growth. It has also announced the launch of Tennr Network, which provides real-time updates to referring and receiving providers, as well as patients, on the status of any referral.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 5 rounds)
Jun 2025
$101m
SERIES C
Oct 2024
$37m
SERIES B
Total funding: $156.3m
Company benefits
- Meaningful equity
- In-person culture
- Promoting from within
- 401k matching
- Unlimited PTO
- Free lunch (and a pantry stocked with a strangely wide array of puffed corn snacks)
Company HQ
Chelsea, New York, NY
Leadership
Trey Holterman
(Co-Founder & CEO)They studied Computer Science with a focus on Machine Learning at Stanford. Prior to starting Tennr, they focused on applying their research in the health technology world at HealthIQ and Strava.
Diego Baugh
(Co-Founder & CPO)They studied Computer Science at Stanford with a focus on Human Computer Interaction and Design. Prior to Tennr, they built automation systems at Goldman Sachs as an Automation Engineer.
Tyler Johnson
(Co-Founder & CTO)They studied Computer Science with a focus on Systems and Networking at Stanford. Prior to Tennr, they worked as a Lead Engineer at Tanduo, where they built bespoke data workflows for large industrial companies.
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