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Mobile Rust Backend Developer Jobs in Wilmington, DE

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

Net Developer

Philadelphia, PA · On-site

$48.75 - $64.25/hr

... mobile, tablet) Job Roles/Responsibilities: Review user stories. Participate in planning sessions ... Collaborate with user experience designers and back-end developers / architects to complete ...

Android Developer - Onsite

Wilmington, DE · On-site

$54 - $71/hr

Work with backend engineers to integrate mobile applications with backend services. * Troubleshoot and fix application bugs and issues. * Contribute to code reviews and provide constructive feedback.

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

Android Developer

Wilmington, DE · On-site

$54 - $71/hr

Keylent Inc is a company seeking a Mobile Android Developer. The role involves developing and deploying Android native applications while integrating back-end services and working with various APIs.

... backend languages such as Go, TypeScript (Node.js), Rust, or Python is a plus · Solid working ... DEVOPS & RELEASE MANAGEMENT • Build and maintain CI/CD pipelines to support consistent and ...

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Mobile Rust Backend Developer information

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How much do mobile rust backend developer jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for mobile rust backend developer in Wilmington, DE is $17.42, according to ZipRecruiter salary data. Most workers in this role earn between $14.95 and $18.65 per hour, depending on experience, location, and employer.

What is a mobile Rust backend developer?

Mobile Rust Backend Developers are software engineers who specialize in building and maintaining the backend infrastructure of mobile applications using the Rust programming language. They design APIs, manage databases, and ensure that server-side logic efficiently supports mobile app features. Rust is chosen for its safety, performance, and concurrency capabilities, making it suitable for building fast and reliable backend systems. These developers often work closely with mobile app developers to deliver seamless user experiences.

How does a mobile Rust backend developer typically collaborate with mobile app and frontend teams?

As a Mobile Rust Backend Developer, you’ll regularly work alongside mobile app developers and frontend engineers to ensure seamless integration between the backend systems and user-facing applications. Collaboration often involves participating in sprint planning, clarifying API requirements, and troubleshooting integration issues. Effective communication is key, as you’ll need to provide clear API documentation, respond to integration queries, and adapt backend services to evolving app features. This cross-functional teamwork not only enhances the product’s performance but also helps you develop a broader understanding of the overall tech stack.

What are the key skills and qualifications needed to thrive as a mobile Rust backend developer, and why are they important?

To thrive as a Mobile Rust Backend Developer, strong proficiency in Rust programming, system architecture, and backend API development is essential, along with a degree in computer science or related experience. Familiarity with tools like Cargo, Docker, RESTful APIs, and database systems such as PostgreSQL, plus experience with CI/CD pipelines, is typically required. Effective problem-solving, communication, and collaborative skills help developers excel in team environments and manage complex projects. These skills are vital for building secure, efficient, and scalable backend solutions supporting mobile applications.

What is the difference between Mobile Rust Backend Developer vs Mobile Backend Developer?

AspectMobile Rust Backend DeveloperMobile Backend Developer
Required SkillsRust programming, backend development, mobile integrationJava, Kotlin, Swift, backend development
Work EnvironmentMobile app backend, Rust ecosystem, cloud servicesMobile app backend, various languages, cloud services
Industry UsageEmerging in high-performance mobile appsWidespread across mobile app industries

The main difference between a Mobile Rust Backend Developer and a Mobile Backend Developer lies in the programming languages used. The Rust role focuses on high-performance, memory-safe backend services using Rust, especially for mobile app integration. In contrast, Mobile Backend Developers typically work with languages like Java, Kotlin, or Swift, depending on the platform. Both roles involve backend development and cloud services, but the choice of language and specific expertise distinguishes them.

What are popular job titles related to Mobile Rust Backend Developer jobs in Wilmington, DE?

For Mobile Rust Backend Developer jobs in Wilmington, DE, the most frequently searched job titles are:

What job categories do people searching Mobile Rust Backend Developer jobs in Wilmington, DE look for?

The top searched job categories for Mobile Rust Backend Developer jobs in Wilmington, DE are:

What cities near Wilmington, DE are hiring for Mobile Rust Backend Developer jobs?

Cities near Wilmington, DE with the most Mobile Rust Backend Developer job openings:

Infographic showing various Mobile Rust Backend Developer job openings in Wilmington, DE as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 18% Part Time, 9% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $36,226 per year, or $17.4 per hour.

Backend Developer - Remote

YO AI Labs

Philadelphia, PA • Remote

$80 - $120/hr

Full-time

Posted 6 days ago


Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.