Tennr
Senior Infrastructure Engineer
New York City Office · Senior
Sponsorship not specifiedDetected 14 days ago
PythonDistributed SystemsPostgreSQLAWSCloud PlatformsMachine LearningData EngineeringLLMsMLOps
About the role
- We're looking for a founding Sr.
- ML Infrastructure Engineer with a strong background in distributed systems and building pipelines that scale.
- In this role, you'll own the infrastructure that powers Tennr's AI-driven healthcare platform - the training, inference, and data pipelines that let our models handle growing traffic and an expanding product surface.
Responsibilities
- Architect, build, and scale the cloud infrastructure behind our ML training, inference, and data pipelines.
- Design resilient systems for model deployment, evaluation, and monitoring that stay reliable as traffic grows.
- Own observability across the stack - logging, metrics, tracing, and alerting.
- Collaborate with ML engineers, backend engineers, and cross-functional teams to integrate models cleanly with data pipelines and products.
- you move fast and drive projects from idea to production in a startup environment.
Requirements
- Strong backend software engineering fundamentals, with proficiency in Python and TypeScript.
- Hands-on experience with AWS, and PostgreSQL
- Interested in growing into ML infrastructure - prior ML ops/infra experience is not required.
- 4+ years building and scaling infrastructure in production-distributed systems, cloud platforms, or data engineering.
- Solid grasp of observability, reliability, and production incident response.
- Comfortable with ambiguity and high ownership; you move fast and drive projects from idea to production in a startup environment.
Nice to have
- exposure to inference engines (vLLM, SGLang, TensorRT), or k8s.
- You won't just talk about things, you'll get them done.
- And feel the impact.
- Innovate with Purpose: we're not just doing this for fun (although we do have a lot of fun).
- Plus a pantry full of snacks.
- Beautiful new office at 345 Hudson Street
- Employer-funded 401(k) match
- Nice to have: exposure to inference engines (vLLM, SGLang, TensorRT), or k8s.
Skills
- learn the inner workings of scaling systems, tools, and infrastructure
Benefits
- 100% paid employee health benefit options
- Competitive parental leave
Company info
- Today, when you go to your doctor and get referred to a specialist, your doctor sends out a referral and tells you, "They'll be in touch soon." So you wait.
- Sometimes days, weeks, or even months.
- Because too often providers are overwhelmed with the painstakingly tedious work required to get paid by insurance companies.
- Powered by proprietary models, Tennr handles the complex paperwork that gets patients through the door and providers paid, helping operators get patients the right care, at the right time, in the right setting.
This listing is sourced directly from Tennr's careers page and normalized into a canonical job model.