Toronto, Ontario, Canada · On-site
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…
Skills: Backend System Design, Distributed Architecture, Node.js, Django, AWS
United States · Remote OK
About Feathery 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…
Skills: Solutions Engineering, JavaScript, Python, API Debugging, Workflow Architecture
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Design, build, and scale backend services and asynchronous pipelines to power document intelligence and workflow automation. Collaborate cross-functionally to translate complex customer needs into resilient, high-performance infrastructure.
Requires 4-7+ years of experience in backend engineering with proficiency in Node.js or Django and strong AWS cloud infrastructure skills. Candidates should have a proven track record of designing distributed systems and production-grade APIs in a fast-paced environment.
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.
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
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.
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
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
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
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.
AI operating & decisioning platform for financial services
Feathery is an agentic data intake platform for financial firms. We automate onboarding and risk assessment while syncing client data across CRMs, custodians, policy management systems, and internal systems. Firms use Feathery to replace manual processes with scalable workflows that accelerate onboarding, reduce operational friction, and keep data consistent across their stack.
Offices: San Francisco, California 94111, US
AI operating & decisioning platform for financial services
Feathery is an agentic data intake platform for financial firms. We automate onboarding and risk assessment while syncing client data across CRMs, custodians, policy management systems, and internal systems. Firms use Feathery to replace manual processes with scalable workflows that accelerate onboarding, reduce operational friction, and keep data consistent across their stack.
Offices: San Francisco, California 94111, US
