Site Reliability Engineer, Tennr
$175-200k
Offers Equity & Bonus
Office located in Hudson Square, NY
Automation platform for healthcare operations
Open for applications
Automation platform for healthcare operations
201-500 employees
Open for applications
$175-200k
Offers Equity & Bonus
Office located in Hudson Square, NY
201-500 employees
Company mission
To ease the administrative burdens on healthcare providers.
Role
Who you are
- It’s a great fit for someone a few years into their career who wants to grow into deep SRE ownership — with strong mentorship, real problems to solve from day one, and a direct line to the reliability and security of a platform that handles PHI
- 2–4 years in SRE, infrastructure, systems, or a strong adjacent engineering background
- Familiarity with PagerDuty or a comparable on-call and incident-response tool
- Hands-on with Datadog or another observability platform, or eager to go deep on it
- Working understanding of secrets, certificate, and key management (e.g. AWS Secrets Manager / KMS / ACM, HashiCorp Vault)
- Careful and methodical with anything touching security and rotation — you sweat the details
- Eager to grow into broader SRE ownership, and energized by working in a regulated healthcare (HIPAA / PHI) environment
What the job involves
- You’ll join Tennr’s Infrastructure team as a Site Reliability Engineer, focused on the systems that keep us reliable, observable, and secure. This is a hands-on role with real room to grow: you’ll roll out our on-call tooling, wire observability into the product, and own the lifecycle of the credentials, certificates, and keys that protect patient data
- Continue the PagerDuty rollout across engineering teams, helping them define escalation policies, schedules, and runbooks so on-call is calm and clear
- Build in-app Datadog instrumentation — metrics, traces, and alerts — working from the observability standards Infrastructure sets
- Manage credential storage and rotation across our environments
- Manage certificate issuance, renewal, and rotation
- Manage encryption key lifecycle and rotation, keeping PHI protected end to end
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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