North Carolina

Developer Jobs in North Carolina

169 jobs found

Include remote jobs

2mo ago

Software Engineer Analyst - AI Trainer

DataAnnotation Research Triangle Park, NC 🇺🇸 Remote

Research Triangle Park, NC

2mo ago Closed

$50 - $100/hr Contract Ai Trainer Ai Training Artificial Intelligence

This position is no longer accepting applications (closed Sep 8, 2026).

Job Description

DataAnnotation is seeking an existing Software Engineer Analyst - AI Trainer to support the training of AI models through hands-on coding work. This contract role blends problem-solving, code evaluation, and written explanations to help improve how models generate accurate, clear software solutions.

In this position, you will design and solve coding tasks used for AI training, then assess AI-generated code for quality and usefulness. Your feedback will contribute directly to iterative improvements in the next generation of AI technologies.

What you’ll do

Design and solve a range of coding problems used to train AI systems.
Write clear, high-quality code snippets and detailed explanations for training materials.
Evaluate AI-generated code for accuracy, performance, and clarity.
Provide feedback that shapes the next generation of AI models.

What you’ll bring

English fluency (native or bilingual level).
Proficiency in at least one of: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift.
Excellent writing and grammar skills.
A bachelor’s degree (completed or in progress).
Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred.

Technologies

JavaScript, TypeScript
Python
C, C#, C++
React
Go
Java, Kotlin
Swift

Contract details

Location: Research Triangle Park, NC (remote)
Job type: contract
Compensation: USD 50 to 100 per hour

Compensation and flexibility

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects you take on and when you work, using your own computer.
Competitive pay: projects are paid hourly at $50 to $100 USD.
Higher bonus rates may be available for certain projects.
Impact: help shape the future of AI technologies.

Notes

Payment is made via PayPal.
We will never ask for any money from you.
PayPal handles any currency conversions from USD.
This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.
Those located outside these countries will not see work or assessments available on the site at this time.

View full job page →

2mo ago

Software Developer

The Hales Group Clayton, NC

Clayton, NC

2mo ago Closed

$100k - $120k/yr Full time Backend Developer .NET .NET Core

This position is no longer accepting applications (closed Sep 6, 2026).

Job Description

The Hales Group is hiring a Software Developer to design, build, test, and maintain proprietary software applications using .NET technologies in an onsite role in Clayton, NC.

Responsibilities

Design, develop, test, and maintain proprietary software applications using .NET technologies and Java and C#
Use Android Studio to improve and troubleshoot a mobile Android application
Recommend and implement improvements that enhance software quality, performance, maintainability, and user experience
Collaborate with cross-functional teams to define, design, and ship new features
Create and maintain technical documentation for software applications and system changes
Diagnose and resolve technical issues across software and general IT systems
Write clean, scalable, and well-documented code
Participate in code reviews and contribute to best practices
Work with engineering, operations, and business stakeholders to define requirements, develop solutions, test functionality, and implement enhancements
Train and support application main users

Requirements

.NET Development Experience (Required): Proven experience building applications using .NET Framework and modern .NET (.NET Core/.NET 6+), including C# and WinForms
Solid understanding of object-oriented programming principles
Experience with relational databases (e.g., SQL Server, MySQL) and writing efficient queries
Familiarity with version control systems (e.g., Git)
Ability to troubleshoot, debug, and optimize existing codebases
Strong problem-solving skills and attention to detail
Good communication and teamwork skills
Bachelor’s degree in Computer Science, Information Technology, or equivalent practical experience

Technologies

.NET Framework
Modern .NET
.NET Core
.NET 6+
C#
WinForms
Java
Android Studio
Android application
Java or Kotlin
Xamarin
MAUI
SQL Server
MySQL
Git
SCADA (AVEVA Edge)
PLC programming

Preferred Qualifications

Android Studio / Android app development experience (Priority Plus): Experience building, testing, and deploying native Android applications (Java or Kotlin)
Familiarity with cross-platform frameworks (Xamarin, MAUI, or similar) is a plus
General IT support experience (networking, systems administration, hardware/software troubleshooting)
Knowledge of SCADA (AVEVA Edge) and/or PLC programming is a plus

Benefits

401(k)
401(k) matching
AD&D insurance
Bereavement leave
Dental insurance
Employee assistance program
Health insurance
Life insurance
Paid holidays
Paid time off
Referral program
Vision insurance

Job Details

Location: Clayton, NC (onsite)
Compensation: USD 100,000 - 120,000 per yearly
Work location: In person

View full job page →

2mo ago

Senior Machine Learning Engineer

Siemens Raleigh, NC

Raleigh, NC

2mo ago Closed

Full time Senior AI Ai Ml

This position is no longer accepting applications (closed Sep 2, 2026).

Job Description

Siemens invites a Senior Machine Learning Engineer to drive LLM driven applications on AWS, overseeing production‑grade ML and LLM services and owning the complete model lifecycle with modern MLOps practices. This onsite role is based in Raleigh, North Carolina.

Responsibilities

Build LLM applications by designing and implementing retrieval augmented generation pipelines, prompt orchestration, tools and agents, safety guardrails, and evaluation harnesses; instrument for latency, cost, and quality.
Own the ML lifecycle from data curation and feature engineering through training and fine‑tuning (LoRA/QLoRA), A/B testing, deployment, monitoring, and ongoing improvement of models and prompts.
Productionize on AWS by shipping scalable services on EKS, ECS, and Lambda; leverage SageMaker, Bedrock, EMR, MSK, and Step Functions; implement observability via CloudWatch and OpenTelemetry and apply cost controls.
Lead MLOps and governance efforts by establishing CI/CD for models (MLflow, Kedro, SageMaker Pipelines), model/version registries, data and prompt lineage, evaluation gates, and responsible‑AI controls.
Collaborate with Brightly stakeholders to translate asset‑management use cases into ML/LLM solutions, working with product managers and UX to deliver customer‑facing features that improve reliability, safety, and sustainability.
Perform exploratory data analysis on structured, semi‑structured, and unstructured data to uncover patterns, correlations, feature importance, and data quality concerns.
Conduct in‑depth research on asset‑related, operational, and domain datasets to identify root causes, trends, and predictive signals.
Operate in a pragmatic, product‑oriented manner, focusing on measurable outcomes and rapid iteration with stakeholders.
Demonstrate engineering excellence by delivering production‑quality Python, designing reliable APIs and services, and upholding testing and observability standards.
Provide collaborative leadership by mentoring peers and influencing architectural decisions across teams.

Requirements

8–10 years of total software or ML engineering experience, including 2+ years building and operating ML systems in production.
1+ year hands‑on experience developing LLM applications (RAG, fine‑tuning, prompt engineering, evaluators/guardrails, agentic workflows) using Langchain and Langgraph.
AWS proficiency (3+ years) with core services (EKS/ECS, Lambda, S3, DynamoDB or RDS, Step Functions, IAM) and ML stack (SageMaker, Bedrock or HF on AWS).
Modeling and frameworks: Python, PyTorch, Hugging Face ecosystem; experience with vector stores (OpenSearch, PGVector, Pinecone), embeddings, retrieval, and NLP/LLM evaluation metrics.
MLOps: CI/CD for ML, model registries, experiment tracking, telemetry/monitoring, automated retraining; Docker/Kubernetes; GitHub Actions or GitLab CI.
Data engineering fluency: ETL/ELT, streaming and batch processing (Spark/Flink), and data quality and governance controls for ML.
Education: Bachelor’s degree required, Master’s degree preferred.

Technologies

Python
PyTorch
Hugging Face ecosystem
Langchain, Langgraph
AWS (SageMaker, Bedrock, EKS, ECS, Lambda, S3, DynamoDB, RDS, Step Functions, EMR, MSK)
OpenSearch, PGVector, Pinecone
Spark, Flink
Cloud monitoring: CloudWatch, OpenTelemetry
Docker, Kubernetes
GitHub Actions, GitLab CI
MLflow, Kedro, SageMaker Pipelines

Nice to Have

Experience with distributed training (FSDP, DeepSpeed), RLHF, or Inferentia/Trainium optimization.
Exposure to sustainability, asset management, or intelligent operations domains.
Familiarity with security and regulatory compliance considerations for ML systems in enterprise environments.

View full job page →

2mo ago

Web Developers

Durham Technical Community College Charlotte, NC

Charlotte, NC

2mo ago Closed

$53k - $91k/yr Full time Backend Developer Data Processing Database

This position is no longer accepting applications (closed Aug 31, 2026).

Job Description

Durham Technical Community College is hiring Web Developers for on-site roles in North Carolina.

Responsibilities

Design, build, and deploy websites
Design, build, and deploy web applications
Design, build, and deploy application databases
Create interactive web interfaces
Review code to ensure proper structure
Adhere to industry coding standards
Ensure cross-browser and cross-device compatibility
Enhance website performance
Improve site scalability
Improve server-side code and processes
Establish and maintain website infrastructure
Integrate websites with other software systems

Starting Salary

$52,959
NC TRIANGLE AREA

Median Annual Wage

$90,577
NC TRIANGLE AREA

5-Year Job Outlook

+8.8%
NC TRIANGLE AREA

Annual Job Openings

483
NC TRIANGLE AREA

View full job page →

2mo ago

Data Engineer-Data Platform & Analytics

Moody's Charlotte, NC

Charlotte, NC

2mo ago Closed

$96k - $139k/yr Full time Big Data Cloud Platform Cloud Platforms

This position is no longer accepting applications (closed Aug 31, 2026).

Job Description

Moody's offers a robust benefits package and a site-based role in Charlotte, NC. You will contribute to scalable data pipelines within Moody's Databricks ecosystem, supporting both enterprise and commercial data delivery. The team values reliability, observability, and responsible AI practices as part of a collaborative, growth-focused culture.

Benefits

Medical coverage
Dental coverage
Vision coverage
Parental leave
Paid time off
401(k) retirement plan with employer contributions
Life insurance
Disability coverage
Accident insurance
Discounted employee stock purchase plan
Tuition reimbursement

About the Team

This team sits at the core of Moody's Enterprise Data Platform (CORE), handling a highly complex and impactful portion of the data estate. It is a modern, innovation-driven data engineering group that powers Moody's extensive financial and corporate databases, enabling data-driven insights and supporting growth in an increasingly AI-enabled landscape.

Responsibilities

Design, build, and run scalable ETL and ELT pipelines to support enterprise and commercial data delivery within Moody's Databricks environment.
Develop and operate pipelines to ingest, transform, and publish data across domains.
Create and optimize data transformations and validations using Python, PySpark, Scala, and SQL.
Implement configuration-driven pipeline frameworks to onboard and manage datasets efficiently.
Ensure data products are structured, performant, and ready for downstream consumption.
Collaborate with stakeholders to define data contracts, schemas, SLAs, and quality standards.
Apply best practices for data reliability, observability, and cost optimization.
Contribute to CI/CD practices, including automated testing, deployment, and promotion.
Support data governance initiatives, including data quality, lineage, and access controls.

Requirements

Five or more years of experience in data engineering, building and operating production-grade data pipelines.
Strong programming experience with Python, PySpark, Scala, and SQL.
Proven experience designing or working with configuration- or metadata-driven data pipelines.
Hands-on experience working within a Databricks-based data platform.
Solid understanding of data modeling, schema evolution, and large-scale dataset management.
Experience deploying and operating data solutions in AWS and Azure cloud environments.
Working knowledge of CI/CD concepts and integrating data pipelines into automated workflows.
Demonstrated proficiency in AI tools to streamline workflows, with awareness of responsible and ethical AI use.

Technologies

Python
PySpark
Scala
SQL
Databricks
AWS
Azure

View full job page →

2mo ago

Staff Software Engineer (with QE/ Automation Focus)

The Hartford Charlotte, NC

Charlotte, NC

2mo ago Closed

$116k - $174k/yr Full time APIs Engineering Information Technology (IT)

This position is no longer accepting applications (closed Aug 30, 2026).

Job Description

The Hartford is hiring a Staff Software Engineer focused on Quality Engineering and automation, onsite in Charlotte, NC.

Responsibilities

Define and govern the Quality Engineering strategy, standards, and operating model to ensure scalable, high-quality delivery.
Design and maintain automated test frameworks across applications to enable reliable validation of complex systems.
Lead hands-on automation efforts, review automation work from teams, and resolve advanced automation challenges.
Diagnose and fix defects across distributed systems and third party integrations.
Improve system testability, observability, and reliability through code contributions and design collaboration.
Guide end-to-end quality execution from ideation through production to ensure delivery of business capabilities with high quality.
Mentor engineers and SDETs on quality engineering best practices, automation patterns, and scalable test design approaches.
Promote and leverage AI and GenAI tools to enhance testing efficiency, effectiveness, and productivity.

Requirements

Minimum 8 years of software engineering experience, including at least 5 years in Quality Engineering, Test Automation, or quality leadership roles.
Proven experience testing and automating across diverse platforms (Java, .NET, SaaS, COTS, Mainframe) including cloud-native applications on AWS and/or GCP, with containerized and microservices architectures; strong API and contract testing experience (REST Assured, Postman/Newman) and performance, resilience, and reliability testing practices.
Advanced experience designing and scaling test automation frameworks across application tiers, with hands-on expertise in Playwright, Cypress, Selenium, JUnit/TestNG, NUnit, and PyTest.
Ability to define, track, and leverage quality metrics to drive measurable improvements such as defect reduction and defect leakage prevention.
Proven track record of testing and quality execution within Agile and scaled delivery environments, including sprint-level testing, end-to-end validation, and regression/stabilization testing.
Ability to balance hands-on technical delivery with strategic leadership, influencing quality practices across teams and technology stacks.
Strong analytical, problem-solving, communication, coaching, and collaboration skills, with the ability to translate quality risks into clear business and engineering trade-offs.
Bachelor’s degree in Computer Science, Engineering, or a related field.

Technologies

Java
.NET
SaaS
COTS
Mainframe
AWS
GCP
Containerized architectures
Microservices architectures
Playwright
Cypress
Selenium
JUnit
TestNG
NUnit
PyTest
REST Assured
Postman
Newman

Benefits

Short-term or annual bonuses
Long-term incentives
On-the-spot recognition

Compensation

Base pay range: $116,000 - $174,000 per year
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

View full job page →

2mo ago

Lead Data Engineer

American Red Cross Charlotte, NC 🇺🇸 Remote

Charlotte, NC

2mo ago Closed

$140k - $155k/yr Full time Senior Analytics AWS

This position is no longer accepting applications (closed Aug 29, 2026).

Job Description

Join a mission driven team at the American Red Cross as a Lead Data Engineer on the Enterprise Data & Analytics Group. This role focuses on modernizing data architecture, building scalable data pipelines and an enterprise data warehouse, ensuring data quality, and mentoring teammates. The position is remote with in-person meetings as needed and periodic weekend rotation, based in North Carolina.

Benefits

Medical, dental, and vision plans
Health Spending Accounts and Flexible Spending Accounts
PTO and holidays
401K with up to 6% match
Paid family leave
Employee assistance programs
Short and long term disability and related insurance
Service awards and recognition

Responsibilities

Collaborate with analytics and business teams to refine data models that feed business intelligence tools, boosting data accessibility and enabling data driven decisions across the organization.
Design and implement scalable solutions aligned to data governance standards and the architectural roadmap for data integrations, storage, reporting, and analytics.
Develop, test, and validate data integration solutions; write, automate, and document unit, integration, and functional tests.
Oversee automated deployments via Git pipelines, ensuring changes are properly versioned and deployed efficiently.
Work with multiple teams to streamline deployment workflows and monitor pipelines for reliability and performance.
Analyze data issues to troubleshoot and build a data quality framework that supports issue resolution.
Act as a technical lead by mentoring junior engineers through code reviews, pair programming, and hands on guidance.

Requirements

Education: a four year college degree in Computer Science, Engineering, Mathematics, or related technical field, or an equivalent combination of education and experience.
10 years of relevant experience in data engineering, business intelligence, or related domains.
Authorized to work in the United States; the organization does not sponsor employment visas.
Experience with a range of database technologies and data warehouse schema design patterns.
Cloud based databases, with emphasis on AWS technologies.
Advanced SQL skills, including writing and optimizing queries for large, complex datasets.
Proficiency in Python coding.
Experience with AI assisted tools for code development, testing, and documentation across the software lifecycle (for example GitHub Copilot, Duo).
Experience creating ETL or ELT jobs.
DevOps practices and tools such as Git and Artifactory.
Familiarity with Agile software development methodologies.
Experience leading data engineering teams in onshore/offshore models, mentoring through code reviews and pair programming, and establishing team best practices.
Strong problem solving and troubleshooting skills; highly process oriented with good documentation practices.
Passion for the humanitarian mission of the Red Cross and a energized, committed approach to the role.