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Part Time React Native Developer Jobs in Knightdale, NC

... of Engineering at NC State University. The department actively contributes to the academic ... Disclaimer: Perks and Benefit eligibility is based on Part-Time or Full-Time Employment status.

Part Time React Native Developer information

See Knightdale, NC salary details

$36K

$116.4K

$142.7K

How much do part time react native developer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for part time react native developer in Knightdale, NC is $116,444.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,400.00 and $141,300.00 per year, depending on experience, location, and employer.

What does a part time React Native developer do?

A Part Time React Native Developer builds and maintains mobile applications using the React Native framework, usually on a flexible or reduced-hour schedule. Their responsibilities include writing code, debugging, testing, and deploying apps for both iOS and Android platforms. They often work with designers and backend developers to create seamless user experiences, while balancing their workload with other commitments or jobs. This role is ideal for those who want to contribute to app development projects without committing to a full-time schedule.

What are the key skills and qualifications needed to thrive as a part time React Native developer?

To thrive as a Part Time React Native Developer, you need a solid grasp of JavaScript, React Native frameworks, and mobile app development principles, often supported by relevant experience or a computer science background. Familiarity with version control systems like Git, mobile debugging tools, and package managers such as npm or Yarn is typically required. Strong problem-solving, time management, and clear communication skills help developers collaborate effectively and deliver quality apps within limited hours. These capabilities ensure efficient development, maintainable code, and successful project outcomes despite part-time constraints.

How do part time React Native developers typically balance project deadlines with limited working hours?

Part-time React Native developers often coordinate closely with project managers and team members to prioritize tasks and set realistic expectations around deliverables. Clear communication and effective time management are essential, as they usually focus on specific features or bug fixes within agreed-upon sprints. Many teams use collaboration tools and asynchronous communication to keep everyone aligned, ensuring that part-time contributors can make meaningful progress without being present full-time. This structure allows developers to contribute efficiently while maintaining a healthy work-life balance.

What is the difference between Part Time React Native Developer vs Part Time Mobile App Developer?

AspectPart Time React Native DeveloperPart Time Mobile App Developer
Required SkillsProficiency in React Native, JavaScript, UI/UX designKnowledge of multiple platforms (iOS/Android), native languages (Swift, Kotlin), cross-platform tools
Work EnvironmentCollaborates with cross-functional teams, remote or onsiteDevelops mobile apps for various platforms, often in a team setting
Industry UsageCommon in startups, tech companies focusing on cross-platform appsUsed across industries for native or cross-platform mobile app development

Part Time React Native Developers specialize in building cross-platform mobile apps using React Native, focusing on JavaScript and UI design. In contrast, Part Time Mobile App Developers may work with native languages like Swift or Kotlin and develop for specific platforms. Both roles require mobile development skills but differ in tools and platform focus.

What cities near Knightdale, NC are hiring for Part Time React Native Developer jobs?

Cities near Knightdale, NC with the most Part Time React Native Developer job openings:

Infographic showing various Part Time React Native Developer job openings in Knightdale, NC as of August 2026, with employment types broken down into 100% Part Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $116,444 per year, or $56 per hour.

REFRAME Platform Architect

NCSU

Raleigh, NC • On-site

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago


North Carolina State University rating

6.8

Company rating: 6.8 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

463rd of 623 rated colleges and universities


Job description

Posting Information
Posting Number PG194519EP Internal Recruitment No Working Title REFRAME Platform Architect Anticipated Hiring Range Commensurate with Experience ($120,000- $150,000) Work Schedule Monday - Friday, 8am - 5pm (40 hours/week, with flexibility) Job Location Raleigh, NC Department Biological And Agricultural Engineering About the Department
The Platform Architect will be an employee in the Department of Biological and Agricultural Engineering (BAE) jointly administered by the College of Agriculture and Life Sciences (CALS) and the College of Engineering at NC State University. The department actively contributes to the academic, research and extension missions of the University.
Wolfpack Perks and Benefits
As a Pack member, you belong here, and can enjoy exclusive perks designed to enhance your personal and professional well-being. As you consider this opportunity, we encourage you to review our Employee Value Proposition and learn more about what makes NC State the best place to learn and work for everyone.

What we offer:
  • Medical, Dental, and Vision
  • Flexible Spending Account
  • Retirement Programs
  • Disability Plans
  • Life Insurance
  • Accident Plan
  • Paid Time Off and Other Leave Programs
  • 12 Holidays Each Year
  • Tuition and Academic Assistance
  • And so much more!

Attain Work-life balance with our Childcare benefits, Wellness & Recreation Membership, and Wellness Programs that aim to build a thriving wolfpack community.
Disclaimer: Perks and Benefit eligibility is based on Part-Time or Full-Time Employment status. Eligibility and Employer Sponsored Plans can be found within each of the links offered.
Essential Job Duties
This is a repost; previous applicants need not reapply.
This position supports the REFRAME project, a multi-year, externally funded research initiative led by NC State University. The project aims to deliver a modular, AI-enabled, open-source platform for feedstock-agnostic evaluation of future biomass. It will integrate legacy open-source models, novel surrogates, shared metadata schemas, and a large language model (LLM) to enhance accessibility for varied stakeholders.
Leveraging well-characterized agricultural and food processing residues, REFRAME will generate insights into historically underfunded circular biomass streams and provide deployment-ready tools for end-to-end scenario analysis, counterfactual modeling, and decision support across the value chain. The Platform Architect will play a central role in designing and operationalizing the technical backbone of this platform in close collaboration with faculty, research staff, and external partners.
The Platform Architect is a senior technical leadership role that will lead the software and infrastructure development for the digital backbone for the REFRAME project. This digital backbone is the central nervous system for developing, deploying, monitoring, and governing all machine learning models related to the project. The platform architect will be responsible for strategic roadmapping of infrastructure, system design, tech-stack selection, devOps, security & compliance, workflow integration, and process optimization, ensuring the platform's scalability, reliability, and efficiency. The architect will also work closely with the project manager and software development personnel, bridging gaps between project personnel and development personnel to ensure that ML models can transition from research workflows to scalable, secure, and reliable production environments efficiently.
The Platform Architect is a senior technical leadership role responsible for defining the strategy, design, and implementation of our solution-specific Machine Learning Operations (MLOps) platform. This platform is the central nervous system for developing, deploying, monitoring, and governing all machine learning models related to the project. The Architect bridges the gap between data science experimentation and production engineering rigor, ensuring that ML models can transition from research workflows to scalable, secure, and reliable production environments efficiently.
Platform Vision and Architecture :
  • Strategic Roadmapping: Define the technical vision and multi-year roadmap for the end-to-end ML platform, aligning it with project and research objectives and data science needs (including GenAI/LLM capabilities).
  • System Design: Architect, design, and document a robust, scalable, and cost-efficient platform covering the entire ML lifecycle: Data Ingestion, Feature Store, Model Training, Model Registry, Model Serving/Inference, and Monitoring.
  • Technology Selection: Evaluate, select, and integrate appropriate cloud-native services (AWS, Azure, or GCP), hybrid and on-prem computing resources, and open-source MLOps tools (e.g., Kubeflow, MLflow, Airflow) to build a cohesive ecosystem.

MLOps and Delivery Excellence :
  • Automation: Lead the implementation of MLOps pipelines using CI/CD practices to automate model training, testing, validation, deployment, and automated retraining workflows.
  • Infrastructure as Code (IaC): Design and enforce IaC standards (Terraform/CloudFormation) for provisioning and managing all underlying compute, networking, and storage resources (e.g., Kubernetes clusters, GPU instances).
  • Feature Engineering: Define shared data and feature management patterns to ensure consistency and reuse across model training and inference workflows.
Governance, Security, and Compliance:
  • Model Governance: Implement standards for model versioning, lineage tracking, and compliance to ensure models are traceable, reproducible, and meet ethical AI principles.
  • Security: Architect security measures, including network segmentation, access control (IAM/RBAC), and data encryption across the entire ML pipeline.
  • Performance & Cost Optimization: Establish comprehensive monitoring and alerting for model performance (drift, bias) and infrastructure metrics, driving continuous optimization for performance and cloud costs (FinOps).

Technical Leadership and Collaboration:
  • Cross-Functional Partnership: Act as the primary technical point of contact, collaborating closely with Data Scientists, Data Engineers, Software Engineers, Product Managers, domain scientists, industry partners, process engineering and systems modeling experts.
  • Documentation: Create and maintain high-quality architectural diagrams, reference implementations, and technical documentation.
Other Responsibilities
  • Other duties as assigned.
Qualifications
Minimum Education and Experience
  • PhD or Master's degree in relevant field with 2+ years of experience in the following areas: Software Engineering, Data Engineering, or Platform Engineering and ML/AI platform architecture / MLOps OR
  • Bachelor's degree in relevant field with 4+ years of experience in the follow areas: Software Engineering, Data Engineering, or Platform Engineering and ML/AI platform architecture / MLOps
Other Required Qualifications
Areas of technical proficiency include:
  • Cloud Expertise: Expert-level proficiency in at least one major cloud platform (AWS, Azure, or GCP) and its ML-specific services (e.g., AWS SageMaker, GCP Vertex AI, Azure ML).
  • Containerization & Orchestration: Mastery of Kubernetes and Docker for containerizing and distributed ML workloads.
  • Coding Proficiency: Strong programming skills in Python and experience with core ML/Deep Learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Data & Infrastructure: Deep knowledge of distributed systems, data pipelines, and Infrastructure as Code.
Preferred Qualifications
  • Advanced ML Experience: Experience designing infrastructure for advanced ML use cases, such as Generative AI, Large Language Models (LLMs), or Real-Time Inference systems.
  • Networking/Security: Familiarity with zero-trust architecture principles and network design for secure MLOps environments.
  • Data Store Experience: Practical experience with NoSQL/Vector Databases and Feature Stores.
  • Problem-Solving: The ability to analyze complex issues across the entire stack and devise effective solutions.
  • Adaptability & Learning: The tech landscape changes rapidly, so the ability to quickly learn new languages, frameworks, or tools is essential.
  • Communication & Collaboration: Effectively communicating technical details to both technical and non-technical stakeholders, and working seamlessly within a team.
  • Attention to Detail: Ensuring high standards for code quality, system reliability, and user-facing usability.
Required License(s) or Certification(s)
N/A
Valid NC Driver's License required No Commercial Driver's License required No
Recruitment Dates and Special Instructions
Job Open Date 03/05/2026 Anticipated Close Date 8/28/2026 Special Instructions to Applicants
Please attach a cover letter, resume/CV, and contact information for at least three (3) professional references.
Position Details
Position Number 00111906 Position Type EPS/SAAO Full Time Equivalent (FTE) (1.0 = 40 hours/week) 1.0 Appointment 12 Month Recurring Mandatory Designation - Adverse Weather Non Mandatory - Adverse Weather Mandatory Designation - Emergency Events Mandatory - Medical Emergencies, Non Mandatory - Emergency Event Department ID 118101 - Biological And Agricultural Engineering EEO
NC State University is an equal opportunity employer. All qualified applicants will receive equal opportunities for employment without regard to age, color, disability, gender identity, genetic information, national origin, race, religion, sex (including pregnancy), sexual orientation, and veteran status. The University encourages all qualified applicants, including protected veterans and individuals with disabilities, to apply. Individuals with disabilities requiring disability-related accommodations in the application and interview process are welcome to contact 919-513-0574 to speak with a representative of the Office of Equal Opportunity.
If you have general questions about the application process, you may contact Human Resources at (919) 515-2135 or workatncstate@ncsu.edu.
Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. Degree(s) must be obtained prior to start date in order to meet qualifications and receive credit.
NC State University participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.

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About North Carolina State University

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North Carolina State University (NCSU), located in Raleigh, NC, US, is a leading educational institution with a strong emphasis on research, academics, and public service. Established in 1887, NCSU operates in the education industry and endeavors to foster student success, and promote economic development by providing high-quality, affordable education, and conducting groundbreaking research across a variety of disciplines. With more than 100 majors, its academic offerings range from undergraduates to postgraduates along with doctoral studies - in various fields like engineering, natural resources, humanities, and social sciences. NCSU is firmly anchored on the core values of respect, responsibility, integrity, and innovation. Its mission is to create economic, societal, and intellectual prosperity for the people of North Carolina and the nation.

Industry

Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Raleigh, NC, US

Year founded

1887