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Feathery Inc

Senior Backend Engineer

Reposted 20 Days Ago
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In-Office
Toronto, ON, CAN
Senior level
In-Office
Toronto, ON, CAN
Senior level
Design, build, and scale backend services and asynchronous distributed pipelines for document processing and workflow automation. Own infrastructure on AWS (including queueing systems like SQS), improve reliability, performance, and observability, integrate OCR/AI where appropriate, collaborate with product and customer teams, mentor engineers, and contribute to architecture and production APIs.
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About Feathery

Feathery is the AI Operating & Decisioning system for financial services. Our customers — including Fortune 500s like Allstate — use Feathery to power mission-critical workflows such as customer onboarding, insurance underwriting and quoting, account openings, and advisor transitions.

Why We’re Hiring

As Feathery grows, so does the complexity and scale of the systems that power our product — from document processing pipelines to real-time workflow execution.

We’re hiring a Senior Backend Engineer to help build and scale the core infrastructure behind our document intelligence and workflow platform. This role is ideal for someone who enjoys designing reliable, high-performance systems and taking ownership of backend architecture in a high-growth B2B SaaS environment.

You’ll work closely with product, engineering, and customer-facing teams to deliver systems that are fast, resilient, and deeply aligned with customer needs.

About the Role

This is a high-ownership role that blends:

  • Backend system design and distributed architecture

  • Infrastructure, scalability, and performance optimization

  • Product-focused engineering and problem solving

  • Cross-functional collaboration across product and customer teams

You’ll play a key role in shaping the systems that power Feathery’s platform — ensuring they are reliable, scalable, and built to handle complex, real-world use cases.

What You’ll DoBackend Systems & Infrastructure
  • Design, build, and scale backend services that power document processing and workflow automation

  • Develop asynchronous pipelines and distributed systems for handling large volumes of data

  • Build and maintain infrastructure using AWS services and queueing systems (e.g., SQS)

  • Ensure high availability, fault tolerance, and observability across systems

  • Optimize systems for performance, scalability, and cost-efficiency

Data Processing & Platform Capabilities
  • Build systems for processing and transforming structured and unstructured data

  • Integrate external services such as OCR and AI models where appropriate

  • Improve reliability and throughput of document and data processing pipelines

  • Contribute to APIs and internal services that power the product

Product & Cross-Functional Collaboration
  • Work closely with product to define requirements and ship impactful features

  • Collaborate with frontend and customer-facing teams to support new use cases

  • Help translate complex customer needs into scalable backend solutions

  • Contribute to product planning and technical scoping

Technical Leadership
  • Take ownership of key backend systems and architecture decisions

  • Mentor other engineers and contribute to engineering best practices

  • Help improve code quality, testing, and deployment processes

  • Stay up to date with modern backend and infrastructure technologies

About You
  • 4–7+ years of experience building and scaling backend systems

  • Strong proficiency in backend frameworks such as Node.js, Django, or similar

  • Experience designing distributed systems and asynchronous processing pipelines

  • Solid experience with AWS and cloud infrastructure

  • Strong understanding of system performance, reliability, and observability

  • Experience building production-grade APIs and services

  • Comfortable working in a fast-paced, high-growth startup environment

  • Strong communication skills and ability to collaborate across teams

Bonus
  • Experience building data processing or ETL pipelines

  • Familiarity with document processing, OCR, or AI/ML integrations

  • Experience with queueing systems (e.g., SQS) and event-driven architectures

  • Experience optimizing systems for high throughput and low latency

  • Background in financial services, insurance, or other data-intensive industries

  • Experience at a high-growth B2B SaaS company

What We Offer
  • Competitive compensation and equity

  • Health, dental, and vision coverage

  • Unlimited PTO

  • Downtown Toronto office location

  • Office snacks and lunches

  • A supportive, low-ego team that values ownership and growth

  • Company offsite to connect and recharge

Feathery is an equal opportunity employer and does not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or any other legally protected characteristic. We’re committed to building an inclusive team and provide reasonable accommodations upon request.

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