Senior Backend Architect: Scalable Data & ML Workflows

Tennr

New York (NY)

On-site

USD 140,000 - 190,000

Full time

14 days+
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Benefits offered by this job

Beautiful office at 345 Hudson Street
Unlimited PTO
100% paid employee health benefit
Employer-funded 401(k) match
Competitive parental leave

Job summary

Tennr is seeking a Senior Backend Engineer in New York to architect and implement features end-to-end across backend services and infrastructure. You will design data schemas, build resilient services, and ensure integration with third-party systems.

You will lead initiatives in high-volume workflow automation and build scalable data processing and machine learning infrastructure, driving performance improvements and reliability.

Qualifications

  • 5+ years of backend development experience with JavaScript/TypeScript.
  • Proven track record building scalable web applications with high-volume workflow automation.
  • Experience integrating machine learning models into production and optimizing data pipelines.
  • Strong problem-solving skills and clean coding practices.

Responsibilities

  • Architect and implement features that drive direct customer value end-to-end across our backend services and infrastructure.
  • Lead initiatives in high-volume workflow automation with scalable data processing and ML infrastructure.
  • Design and maintain complex workflows leveraging machine learning to drive automation.
  • Drive performance optimization for scalability and reliability across all layers of the stack.
  • Collaborate with sales and customer success teams to respond to feedback from customers and prospects.
  • Embrace a founder’s mindset, proactively driving projects from conception to completion.

Skills

JavaScript
TypeScript
Backend architecture
Data processing
ML integration

Job description

Tennr is seeking a Senior Backend Engineer in New York to architect and implement features end-to-end across backend services and infrastructure. You will design data schemas, build resilient services, and ensure integration with third-party systems.

You will lead initiatives in high-volume workflow automation and build scalable data processing and machine learning infrastructure, driving performance improvements and reliability.

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