Senior Backend Engineer

Feathery•Toronto, ON

47d•Onsite

About The Position

Feathery automates data intake workflows for insurance and wealth management firms. Industry leaders rely on Feathery to power mission-critical workflows like underwriting, client onboarding, and automated account openings. With rapid revenue growth and expanding enterprise demand, we’re scaling our engineering team to support increasingly complex, data-intensive workflows across our platform. 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. 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, and 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.

Requirements

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

Nice To Haves

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

Responsibilities

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
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
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
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