Senior Backend Engineer
Role summary
Feathery is seeking a Senior Backend Engineer to design, build, and scale the core infrastructure for its data intake and workflow automation platform, serving the insurance and wealth management industries. This high-ownership role involves developing reliable, high-performance distributed systems, optimizing infrastructure on AWS, and processing complex data. The engineer will collaborate closely with product and customer-facing teams, contribute to technical leadership, and mentor other engineers. The ideal candidate has 4-7+ years of backend experience, proficiency in frameworks like Node.js or Django, and strong AWS and distributed systems knowledge.
## 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 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.
## 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 Do
### Backend 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
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