Rust Backend Architect – AI Training Projects

Gramian Consulting

. Solve and validate Rust backend engineering problems involving APIs, service behavior, data persistence, concurrency, performance, and reliability.

Posted 10/27/2026contractRemote • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong proficiency in Rust backend engineering, focusing on API design, data persistence, and performance optimization. Capable of translating functional requirements into robust implementations and testing workflows while maintaining high output quality.

Highest-signal resume keywords

Rust ProgrammingBackend Service DesignAsynchronous ProgrammingDebugging SkillsTechnical Problem-Solving

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

RustAPI DevelopmentData PersistenceConcurrencyPerformance OptimizationTesting WorkflowsBackend ArchitectureError HandlingTechnical DocumentationSystem Reliability

Soft Skills

Analytical ReasoningClear Written Communication

Tools & Technologies

Rust WorkspacesDependency ManagementTest EnvironmentsContainerized Development

Industry Keywords

Backend EngineeringSoftware ArchitecturePerformance BottlenecksScalabilityProduction Readiness

Tech Stack

Tools & technologies

Rust

About the role

Key responsibilities & impact

Solve and validate Rust backend engineering problems involving APIs, service behavior, data persistence, concurrency, performance, and reliability.
Translate functional requirements, performance targets, and failure-handling expectations into reproducible implementation and testing workflows.
Design, review, and assess backend architectures for correctness, scalability, maintainability, and production readiness.
Prepare Rust crate workspaces, configuration files, test fixtures, dependency services, databases, and containerized development environments.
Develop and validate test cases covering expected behavior, edge cases, failure scenarios, and system reliability.
Debug complex backend issues and identify weaknesses in implementation, architecture, or system design.
Evaluate asynchronous and concurrent systems, including race conditions, resource contention, and performance bottlenecks.
Produce technical explanations and implementation artifacts supporting AI training and evaluation.
Maintain output quality while meeting weekly submission requirements and project deadlines.

Requirements

What you’ll need

Strong hands-on proficiency in Rust, demonstrated through substantial professional, research, or open-source software development.
Strong understanding of backend service design, APIs, data persistence, and production software architecture.
Practical knowledge of asynchronous programming, concurrency, error handling, and performance optimization in Rust.
Experience analyzing and resolving complex backend correctness, scalability, reliability, or performance problems.
Ability to translate technical requirements into working implementations, reproducible tests, and verifiable outcomes.
Experience with Rust workspaces, dependency management, test environments, and backend development tooling.
Strong debugging, analytical reasoning, and technical problem-solving skills.
Clear written communication and the ability to explain architectural decisions and technical findings.
Availability to contribute approximately 15 hours per week and meet the project's minimum weekly task requirements.
Ability to begin work within 24–48 hours after completing onboarding.