Lead Backend Engineer

CAT TALES, INC.
Denver, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 157K

Job location

Remote
Denver, United States of America

Tech stack

Java
API
Artificial Intelligence
Build Automation
Data Integrity
Relational Databases
Distributed Systems
Python
Knowledge Management
PostgreSQL
Automation of Marketing
Node.js
Operational Databases
Blockchain
Software Deployment
Systems Integration
TypeScript
AI Infrastructure
Sql Optimization
Large Language Models
Backend
Event Driven Architecture
Build Management
Free and Open-Source Software
Build Tools
Data Management
Data Pipelines
Web Api

Job description

We only work with real companies hiring for live positions. Every opportunity on our platform is an active search. If there's a strong match, we'll guide you through the process. If not, we won't ignore you., We're looking for a Lead Backend Engineer to build the core automation engine and data platform powering next-generation AI systems. This is a highly hands-on engineering role where you'll architect scalable backend services, build production-grade data pipelines, develop AI infrastructure, and own complex distributed systems from design through production. What You'll Do Backend Engineering;

  • Design and build scalable backend services using TypeScript and Node.js
  • Develop production-ready APIs and distributed systems
  • Build automation platforms that improve complex business workflows
  • Architect reliable, scalable backend infrastructure

Data Platforms;

  • Build robust data pipelines integrating third-party APIs and external data sources
  • Design scalable relational database schemas and data models
  • Ensure data integrity, monitoring, validation, and observability
  • Develop infrastructure supporting business intelligence and AI applications

AI Infrastructure;

  • Build systems supporting AI agents and intelligent automation
  • Develop scalable execution environments for AI-powered workflows
  • Create secure, traceable, and reliable automation platforms
  • Contribute to next-generation knowledge management systems

Technical Leadership;

  • Lead projects from architecture through production deployment
  • Drive engineering best practices and technical excellence
  • Identify technical risks early and deliver incrementally
  • Collaborate across engineering and product teams to solve complex problems

Requirements

Must Have;

  • 5+ years building production backend or server-side systems
  • Strong TypeScript and Node.js expertise
  • Experience with Python, Go, Rust, or Java
  • Advanced SQL and relational database design
  • Experience building production data pipelines
  • Experience integrating third-party APIs
  • Strong distributed systems knowledge
  • Excellent system design and architecture skills
  • High ownership and execution mindset
  • Experience leading complex technical initiatives

Nice to Have;

  • AI infrastructure or LLM experience
  • Blockchain or distributed ledger experience
  • Experience with Notion, Supabase, or similar platforms
  • Event-driven architectures
  • Open-source contributions
  • PostgreSQL expertise
  • Observability and monitoring platforms
  • Startup or high-growth company experience

Benefits & conditions

  • Competitive USD compensation
  • Equity and token participation
  • Performance-based bonuses
  • Fully remote within the United States
  • High ownership from day one
  • Opportunity to build cutting-edge AI infrastructure
  • Small, high-performing engineering team
  • Collaborative, fast-paced environment focused on solving meaningful technical challenges

If you're excited about building scalable backend systems, AI-powered infrastructure, and distributed platforms that push the boundaries of intelligent software, we'd love to hear from you...

About the company

Our client is building the next generation of AI-powered governance infrastructure, creating intelligent software that transforms how complex organisations manage knowledge, workflows, and decision-making.

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