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Senior Backend Software Engineer - Rust & Serverless (Remote) @ Surt AI

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About this role

Senior Backend Engineer (Rust & Serverless) The Mission We are looking for a Senior Backend Engineer to own the "brain" of our application. This is a heavy-coding, high-impact role where performance is the baseline. You will be responsible for architecting and building high-performance compute engines, translating complex business logic into lightning-fast, memory-safe Rust services. If you are a builder who believes that "if it's worth doing twice, it's worth automating," and you have a deep appreciation for the elegance of the Rust borrow checker, we want to talk to you.

What You’ll Do

Build the Core: Develop and maintain mission-critical business logic using Rust and the Tokio runtime, deployed primarily via high-performance Lambda functions. Architect Infrastructure: Take full ownership of your stack using Terraform. You’ll provision and manage everything from DynamoDB schemas to API Gateways and event-driven pipelines. Optimize & Profile: This isn't just "functional" code. You will profile memory usage and execution timing to shave off milliseconds and minimize compute overhead. Define the Interface: Design and implement robust REST APIs that serve as the bridge between our complex backend logic and the frontend. Cultivate Excellence: Set the bar for Rust within the team. You’ll establish coding standards, mentor others, and conduct rigorous code reviews to ensure our "brain" remains healthy and scalable.

Technical Profile

Rust Mastery: You have deep experience with ownership, lifetimes, and asynchronous programming in Rust. You know your way around the ecosystem (Serde, Axum/Tower, etc.). Serverless Native: You understand the nuances of event-driven architecture. You know how to work within (and around) the constraints of serverless environments. Automation First: You have a "script-first" mentality. Experience with IaC (Terraform) is highly recommended. Data & Observability: You’ve managed NoSQL databases (DynamoDB) and have a disciplined approach to observability using tools like CloudWatch and CloudTrail. Testing Discipline: You view unit and integration tests as a core part of the feature, not an afterthought.

Our Tech Stack

Languages: Rust (Async/Tokio) Infrastructure: AWS (Lambda, SQS, SNS, API Gateway, DynamoDB) Deployment: Terraform / IaC Operations: CloudWatch, CloudTrail, GitHub Actions

Skills

Engineering

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