Tennr

www.tennr.com

1 Job

169 Employees

About the Company

Tennr takes healthcare providers from fax to first visit, faster. Using RaeLM(tm), the only vision-language model trained to interpret unstructured medical records against complex payor criteria, Tennr helps ensure payor-ready documentation, boost conversions, and cut first-pass denials.

Listed Jobs

Company Name: Tennr
Job Title: Backend Software Engineer
Job Description: **Job Title** Backend Software Engineer **Role Summary** Build and own end‑to‑end backend services that power high‑volume, data‑driven workflow automation and machine‑learning integration. Design scalable data schemas, architect event‑driven systems, and oversee performance optimization to deliver direct customer value. **Expectations** - Deliver production‑ready features that meet defined business goals. - Own technical architecture decisions and ensure scalability, reliability, and maintainability. - Collaborate cross‑functionally with product, sales, and customer success to translate feedback into technical solutions. - Demonstrate a proactive, “founder‑mindset” by steering projects from concept through deployment and improvement. **Key Responsibilities** 1. Design, implement, and maintain scalable backend services and infrastructure. 2. Lead development of high‑volume workflow automation pipelines, optimizing data processing and machine‑learning workloads. 3. Build event‑driven, orchestrated workflows that leverage ML models in production. 4. Conduct performance profiling and tuning across all stack layers, ensuring scalability and reliability. 5. Integrate third‑party APIs and services, maintaining clean, well‑documented interfaces. 6. Mentor peers, review code, and advocate best practices in design, testing, and deployment. **Required Skills** - 3+ years of backend development experience. - Strong command of JavaScript/Node.js with TypeScript proficiency. - Proven experience building scalable web applications and high‑volume data pipelines. - Hands‑on knowledge of event‑driven architectures (e.g., message queues, Kafka, RabbitMQ). - Practical experience integrating ML models (serving inference, data pipelines). - Familiarity with orchestration/automation tools (e.g., Airflow, Prefect, Argo). - Performance optimization across databases, APIs, and distributed systems. - Excellent problem‑solving, clean‑code practices, and documentation skills. - Strong verbal and written communication; ability to explain complex concepts to varied audiences. - Team‑player mindset; thrives in collaborative, fast‑paced environments. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Software Engineering, or a related technical field (preferred; not mandatory). - Industry certifications (e.g., AWS Certified Developer, GCP Professional Data Engineer) are optional and not required.

New york, United states

Hybrid

Junior

04-12-2025