Rust Backend Engineer

In 2024, Google selected LearnTube for its AI First Accelerator, further fueling our growth. Alongside investment from funds of visionaries like Reid Hoffman and Naval Ravikant, we set out on a mission to reimagine how billions will learn and grow.

What You'll Do:

Build and scale high-performance Rust microservices handling ~800 requests/second today, growing to 3x capacity within a year while holding sub-200ms p95 latency

Power the quiz-scoring and AI-tutor engines that process millions of learning events every day

Write safe, concurrent async services using Tokio, and profile CPU, memory, and latency hot paths

Design scalable, secure backend systems using Postgres, MongoDB, Redis, and SQS

Deploy containerized services via NGINX on AWS and GCP Kubernetes infrastructure

Own GitLab CI/CD pipelines, including clippy, tests, and optimized release builds, so we can ship to production several times a week

Drive reliability toward 99.9% uptime with Prometheus and Grafana monitoring

Build LLM inference and vector-search endpoints in collaboration with the AI team

Identify performance-critical paths in existing services and rebuild them in Rust where it makes a real difference

Take features from design to production within two weeks

Must-Have Requirements:

4+ years of backend development, with at least 2 years writing production Rust

Strong grasp of ownership, lifetimes, traits, and error handling, plus async Rust with Tokio

Hands-on experience with a web framework such as Axum, Actix-web, or Warp

Experience with Rust data and serialization tooling (e.g. sqlx, SeaORM, Diesel, serde)

Hands-on experience with Docker and container orchestration

Production experience with GitLab CI/CD and AWS (EC2, S3, SQS) or GCP (GKE/Compute)

SQL/NoSQL expertise (Postgres, MongoDB) and solid system design fundamentals

Nice-to-Have Skills:

gRPC (tonic) and protobuf-based service contracts

Python interop (PyO3) or experience migrating services from Python/Node to Rust

Kubernetes at scale, Terraform

Kafka or other streaming systems

AI/ML inference services experience (LLMs, vector databases, embeddings)

Observability tools (Prometheus, Grafana, OpenTelemetry, tracing crate)

How We Hire No take-home. No whiteboard trivia. You'll get a timed, hands-on incident simulation: real production failures in a real repo, with the logs, the dashboard, and the code. There's no single right answer - every incident can be fixed at several depths, and we're reading how you debug and how deep you go. Here's the link for you to get started on it - [hidden]

The Team Google's Top 20 Startups to Watch. Google AI First Accelerator '24. Backed by funds of Naval Ravikant, Reid Hoffman, and founders/CXOs from Udemy, Flipkart, Jupiter, PayU, Edmodo & Inflection AI. Featured on CNBC-TV18. 11–50 people building something that changes how people learn, permanently.

Why work with us: state-of-the-art generative AI on a backend you own. Full ownership from ideation to deployment. Direct access to founders and advisors, including the CTO of Inflection AI. Three years of growth packed into one, and Monday morning meetings you actually look forward to.