RUST Engineer

About the Role

As a RUST Engineer at Voto Consulting LLC, you will be responsible for building and operating backend services in large-scale production environments, with a focus on Rust applications. You will leverage your expertise in performance optimization, service migration, and AI coding agents to enhance the functionality and efficiency of our systems.

Basic Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent technical field.
• 5-7+ years building and operating backend services in large-scale production environments, with demonstrable end-to-end ownership across design, implementation, testing, deployment, and operations.
• End-to-end experience building, deploying, and maintaining production Rust applications: solid command of ownership/borrowing, lifetimes, traits, error handling, and an async runtime (e.g., Tokio); able to write, review, and debug Rust, not just read it.
• Hands-on performance and memory optimization experience in production services: profiling, benchmarking, and reducing memory footprint, with a working understanding of how memory optimization is achieved (e.g., allocation patterns, data layout, eliminating runtime overhead).
• Demonstrated experience migrating or rewriting services across languages or runtimes while preserving API/wire-format compatibility and proving functional equivalence.
• Familiarity with the Rust service target stack or close equivalents: Smithy Rust Server SDK, ECS Fargate (ARM64/Graviton), CargoBrazil, and CDK with @amzn/pipelines.
• Proficiency working hands-on with AI coding agents as a primary development workflow: driving multi-step/multi-agent workflows, structuring work within human-defined boundaries, reviewing agent output critically, and knowing when to intervene versus delegate.
• Strong Java/JVM experience (or equivalent in another source language), including the runtime cost model (GC, heap/metaspace, JIT), sufficient to judge migration candidates and faithfully re-express existing service logic and framework behavior (e.g., Coral, Spring, Guice).

Preferred Qualifications

• Measurable DRAM/latency/throughput improvements achieved in production distributed systems through rewrites, memory optimization, or runtime changes.
• Experience with oracle/differential testing and shadow deployment (traffic mirroring, response diffing, statistical equivalence) as a validation and cutover strategy.
• Experience contributing to AI agent frameworks or automated engineering workflows: not just using them, including skills, steering, or CI enforcement to prevent convention drift.
• Experience with Rust interop/FFI (JNI/bindgen) and incremental, per-API migration where Rust and Java services coexist behind stable boundaries.
• Experience with Amazon internal validation and operational tooling (profilers, stress-testing frameworks, CloudWatch, X-Ray) and standing up observability for a new runtime.
• Strong written and verbal communication: able to present equivalence and performance results and frame proposals around fleet cost / IMR / DRAM reduction to service teams and leadership.