Backend Infrastructure Engineer jobs in United States
cer-icon
Apply on Employer Site
company-logo

Envoy AI · 13 hours ago

Backend Infrastructure Engineer

Envoy AI is a company focused on revolutionizing freight brokerage through AI technology. They are seeking a Backend Infrastructure Engineer to own the infrastructure that powers AI-native logistics operations, ensuring reliability and performance while contributing to full-stack development and improving developer experience.

Computer Software
Hiring Manager
Rawnak Wasi
linkedin

Responsibilities

Own the reliability and performance of our production infrastructure as we scale
Design and implement high-availability architecture
Build observability into everything: define SLOs, implement intelligent alerting, and create dashboards
Optimize our real-time voice pipeline to support thousands of concurrent AI-powered phone calls
Build end-to-end features across our FastAPI backend and SvelteKit frontend
Contribute to our agentic platform that orchestrates complex multi-step logistics operations
Create intuitive interfaces for workflow visualization and debugging
Design APIs that scale
Improve our CI/CD pipelines for faster, safer deployments
Optimize Docker builds and Azure Container Apps scaling policies
Enhance our IaC (Bicep) to support multi-region deployments
Establish engineering practices in an AI first SDLC: better local development, testing utilities, deployment scripts
Take ownership of major technical initiatives from design to deployment
Participate in architecture decisions that shape our platform's future
Collaborate on code reviews, design reviews, and technical strategy
Help establish engineering best practices as we grow the team

Qualification

PythonTypeScriptCloud infrastructureSystem designDistributed systemsCI/CD pipelinesDockerInfrastructure as codeReal-time systemsAutonomous workClear communication

Required

4+ years of professional software engineering experience
Experience scaling production systems; you've felt the pain of database bottlenecks, worked on performance optimization, or implemented caching strategies
Strong fundamentals in system design, databases, and distributed systems
Proficiency with Python or TypeScript (ideally both)
Experience with cloud infrastructure (Azure, AWS, or GCP)
Track record of deploying production systems with proper monitoring and logging
Comfortable working across the stack—backend, frontend, infrastructure, and everything in between
AI-native engineer : You use AI coding tools (Claude, Cursor, GitHub Copilot, etc.) daily and understand how to work effectively with LLM assistants
Clear communication skills and ability to work autonomously
Authorized to work in the US

Preferred

Early-stage startup experience (founding engineer, first 10 employees)
Built or scaled infrastructure that supports AI/LLM workloads
Worked with real-time systems (WebSockets, voice processing, LiveKit)
Experience with infrastructure as code (Terraform, Bicep, CloudFormation)
Built agentic applications using LangChain, LangGraph, or similar frameworks
Prior experience in logistics or supply chain technology
Strong GitHub profile or open-source contributions
Shipped features with LLM integrations in production

Benefits

Significant equity and influence
Help build engineering culture and practices from the ground up
Grow into leadership roles as we scale the team
Shape product direction and business strategy with your contributions

Company

Envoy AI

twitter
company-logo
Envoy AI builds autonomous agents for logistics service providers.

Funding

Current Stage
Early Stage
Company data provided by crunchbase