Senior Backend Software Engineer

SURT AI

Join the Future of Fraud Detection

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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