Hire Remote Rust Developers

Hire Senior Rust Developers Who Build Systems With Zero Compromise

Rust is the language for the problems where performance and correctness both matter absolutely — where a memory bug isn’t a user-facing error message but a security vulnerability, a production outage, or a safety-critical failure. It’s the language that let Firefox’s Quantum engine outperform Chrome, that powers Cloudflare’s edge network, that Amazon uses for Firecracker (the virtualization layer behind AWS Lambda), and that the Linux kernel now accepts for systems code.

The engineers who thrive in Rust have internalized its ownership model, lifetime system, and fearless concurrency model. They’re not fighting the borrow checker; they’re designing systems where the borrow checker’s constraints force correct architecture.

We staff those engineers. Our Rust developers build the systems software, WASM modules, embedded firmware, and performance-critical services that demand Rust’s unique combination of speed and safety.

What Our Rust Developers Build

Systems Software & Low-Level Infrastructure

Network proxies, databases, storage engines, virtual machines, and runtime environments. Our Rust engineers build the foundational systems software that other software runs on — with memory safety guarantees that C and C++ can’t provide.

High-Performance APIs & Microservices

Axum, Actix-web, and Warp for HTTP APIs that compete with Go and outperform every managed language. When you need sub-millisecond response times at scale without garbage collection pauses, Rust is the answer — and our engineers build it right.

WebAssembly (WASM) Modules

Rust compiles to WebAssembly better than any other language. Our engineers build WASM modules that run compute-intensive logic in the browser at near-native speed — PDF processing, image manipulation, cryptography, compression — eliminating round trips to the server.

Embedded & Edge Systems

Rust is increasingly the language of choice for embedded systems and edge computing — especially where safety and resource constraints coexist. Our Rust engineers write firmware for microcontrollers and IoT devices using embassy, RTIC, and bare-metal Rust.

CLI Tools & Developer Tooling

Fast, reliable CLI tools and developer platform components. Rust’s startup time, single binary distribution, and zero runtime dependencies make it ideal for developer tooling — and our engineers have built production CLI tools used across large engineering organizations.

Rust Technology Stack

HTTP Frameworks: Axum, Actix-web, Warp, Rocket, Poem

Async Runtime: Tokio, async-std

Serialization: serde, serde_json, bincode, protobuf (prost)

Databases: sqlx, diesel, SeaORM, Redis (redis-rs), MongoDB (mongodb)

WebAssembly: wasm-bindgen, wasm-pack, Trunk, worker-rs (Cloudflare Workers)

Embedded: embassy, RTIC, probe-rs, svd2rust

CLI: clap, structopt, console, indicatif

Observability: tracing, opentelemetry, metrics, tokio-console

FFI & Interop: PyO3 (Python), neon (Node.js), cbindgen (C), uniffi (mobile)

Client Success Story: Core Transaction Processing Infrastructure for a Neobank

A neobank building consumer and small-business banking products needed its core transaction processing infrastructure to meet two non-negotiable requirements: absolute memory safety with no undefined behavior, and deterministic latency under load. Traditional garbage-collected languages couldn’t provide both. Our Rust engineers built the transaction processing service using Tokio for async concurrency and Axum for the HTTP layer — handling account debits, credits, balance calculations, and idempotency management with correctness properties enforced by the type system. The production system processes 50,000 transactions per second with sub-2ms p99 latency. It has operated for eighteen months without a memory-safety-related incident — a track record that directly supports the neobank’s regulatory compliance narrative with banking supervisors.

Client Success Story: Billion-Event-Per-Day Analytics Ingestion API

A high-growth analytics startup needed an event ingestion API capable of handling one billion events per day with guaranteed delivery semantics and zero data loss under traffic spikes 5x above baseline. The ingestion service was the most critical component in the product — any data loss meant broken customer dashboards and contractual SLA violations. Our Rust engineers built the service using Axum and Tokio with an in-memory ring buffer for absorbing traffic spikes and async Kafka writes for durable delivery. The service handles peak load on two commodity servers, consuming just 180MB of RAM at 400,000 events per second. It has processed over 200 billion events to date with zero data loss incidents — and its performance profile has become a key proof point in the company’s enterprise sales conversations.

Why Companies Choose Our Rust Developers

• Ownership model mastery: Our Rust engineers don’t fight the borrow checker — they design systems where lifetime constraints expose architectural problems before they become production bugs
• Fearless concurrency: Rust’s type system makes data races impossible at compile time. Our engineers build concurrent systems that are correct by construction, not by careful manual synchronization
• Zero-cost abstractions: They write Rust that’s both high-level and high-performance — using iterators, traits, and generics that compile to optimal machine code without heap allocation or virtual dispatch
• Cross-language interop: PyO3 for Python, Neon for Node.js, cbindgen for C — our Rust engineers integrate Rust performance into systems built on other languages without rewriting everything
• 50% cost savings: Fully-burdened rates including salary, benefits, taxes, and HR

Engagement Models

• Individual Rust Engineer — A senior Rust developer embedded in your existing systems, platform, or infrastructure team. Ideal for adding borrow-checker-fluent expertise to a performance-critical service, a WebAssembly component, or a safety-critical library.
• Systems Software Pods (2–3 engineers) — Rust engineers paired with DevOps for end-to-end ownership of high-performance services. Common for teams building event ingestion platforms, database engines, or bare-metal infrastructure tooling where Rust’s compile-time guarantees are a deliberate architectural choice.
• Full Rust Teams (4–12+ engineers) — Complete Rust engineering organizations for large-scale platform builds — network proxies, transaction processing engines, or compiler toolchain projects where every layer of the stack is owned by engineers fluent in the ownership model.
• Contract-to-Hire Rust Engineers — Evaluate a Rust engineer’s ownership model fluency and idiomatic code quality in your codebase before committing. Engineers who fight the borrow checker vs. those who design around it become apparent within the first code review.

How To Vet Rust Developers

Our Rust vetting is the most rigorous in our portfolio — because Rust expertise is rare and the gap between a junior and a senior Rust engineer is enormous. The four-stage process:

1. Technical screening — Ownership and lifetime semantics (borrowing rules, lifetime annotations, Arc<Mutex<T>> vs. channels for shared state), async Rust with Tokio (task spawning, Pin, Select!, cancellation safety), trait design and generics, and FFI (PyO3, cbindgen). Over 95% of applicants do not pass this stage.
2. Systems design exercise — Architect a high-throughput Rust service: an Axum HTTP API with Tower middleware, async Kafka producer for durable event delivery, a ring buffer for traffic spike absorption, and Prometheus metrics via metrics crate. Evaluated on lifetime discipline, zero-copy design, and panic safety.
3. Live technical interview — Borrow checker constraint solving in real code, lifetime elision rules, unsafe code review (identifying undefined behavior), and discussion of when unsafe is genuinely necessary vs. avoidable with better design.
4. Communication and documentation screening — Rust engineers working on platform infrastructure must write documentation that non-Rust engineers can understand. We assess RFC-quality technical writing and the ability to explain ownership semantics to engineers from other languages.

What to Look for When Hiring Rust Developers

Senior Rust engineers don’t fight the borrow checker — they design data structures and ownership patterns so the borrow checker validates correctness they already reasoned about. Candidates who describe the borrow checker primarily as an obstacle aren’t ready for production Rust.

What strong candidates demonstrate:

• They can design around lifetime constraints from first principles: they choose between Arc<Mutex<T>>, channels, and single-ownership data flows deliberately, based on contention patterns — not by trial and error
• They understand async Rust deeply: Pin, Waker, and the Future trait contract — not just “I use Tokio.” Candidates who can explain why async fn in traits requires Pin<Box<dyn Future>> have real depth
• They have a principled view on unsafe: they know exactly what invariants must be maintained inside each unsafe block and they can articulate why the compiler cannot verify them
• They write zero-copy code instinctively: they reach for &str over String, Cow<'_, str> when ownership is conditional, and slices over Vec when possible — because every unnecessary allocation has a cost they’ve measured

Red flags to watch for:

• Describing the borrow checker primarily as an obstacle — a sign they haven’t internalized the ownership model deeply enough for production Rust work
• Not knowing the difference between Mutex<T> and a channel for state sharing — these have different performance and deadlock properties that matter in concurrent services
• Unable to explain when unsafe is genuinely necessary vs. avoidable — candidates who use unsafe without understanding the specific invariants they’re asserting are introducing undefined behavior
• No async Rust production experience — candidates who’ve only written sync Rust may underestimate the complexity of async lifetimes and cancellation safety

Interview questions that reveal real depth:

• “Walk me through a scenario where you’d choose Arc<Mutex<T>> over a channel for shared state. What are the trade-offs, and how does each choice affect your ability to avoid deadlocks?”
• “Explain why async fn in traits requires special handling in stable Rust. How would you design a trait-based abstraction for an async data source without async_trait?”
• “You need to call a C library from Rust using FFI. Walk me through the unsafe invariants you’d need to document and verify for each function call.”

Related Services

• Hire Golang Developers — Go and Rust serve overlapping use cases. Explore our Go engineering practice if you need high-performance systems with a gentler learning curve.
• DevOps & SRE Engineers — Rust services live in containers. Our DevOps engineers handle the Kubernetes, CI/CD, and cloud operations.
• Enterprise Software Developers — Rust alongside Go, Java, and Python on our full enterprise engineering bench.
• Staff Augmentation — The fastest way to add a senior Rust engineer to your existing team.

Want to Hire Remote Rust Developers?

We specialize in sourcing, vetting, and placing senior remote Rust engineers — from individual borrow-checker-fluent systems programmers joining your infrastructure team, to complete Rust organizations building neobank transaction engines, high-throughput data platforms, Kubernetes operators, and WebAssembly-powered applications. Rust expertise is rare; our pipeline is deep and pre-vetted.

Get matched with Rust developers →

Ready to hire Rust developers who understand ownership semantics, zero-copy design, and unsafe invariants — not just the syntax? Contact us today and we’ll introduce you to senior Rust engineers within 48 hours.