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Remote Senior Net Software Developer Jobs in Charleston, SC

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How much do remote senior net software developer jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for remote senior net software developer in Charleston, SC is $56.34, according to ZipRecruiter salary data. Most workers in this role earn between $49.47 and $62.98 per hour, depending on experience, location, and employer.

What is a remote senior .NET software developer?

A Remote Senior .NET Software Developer is an experienced professional responsible for designing, developing, and maintaining software applications using the .NET framework while working remotely. They collaborate with cross-functional teams, write clean and efficient code, and ensure software quality through testing and debugging. This role typically requires expertise in C#, ASP.NET, SQL, cloud platforms, and modern development methodologies. Strong problem-solving skills and the ability to work independently are essential.

What are the typical day-to-day responsibilities of a remote senior .NET software developer?

A Remote Senior Net Software Developer is typically responsible for designing, coding, and maintaining scalable .NET applications, troubleshooting technical issues, and optimizing performance. You will regularly participate in code reviews, collaborate with product managers and cross-functional teams, and mentor junior developers remotely. Many roles also involve integrating third-party services, contributing to architectural decisions, and ensuring code quality through automated testing. Successfully navigating these responsibilities requires proactive communication and effective time management to coordinate asynchronously in distributed teams.

What are the key skills and qualifications needed to thrive as a remote senior .NET software developer?

To excel as a Remote Senior Net Software Developer, you need deep expertise in C#, .NET frameworks, and software architecture, typically supported by a bachelor's degree in computer science or a related field and several years of experience in .NET development. Familiarity with version control systems like Git, cloud platforms such as Azure or AWS, and industry certifications (e.g., Microsoft Certified: .NET Developer) are often preferred. Strong problem-solving, effective communication, and the ability to work independently or collaborate within distributed teams are crucial soft skills. These competencies ensure that complex software projects are delivered efficiently, securely, and in alignment with business objectives in a remote work environment.

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Remote Senior Net Software Developer jobs near you
Infographic showing various Remote Senior Net Software Developer job openings in Charleston, SC as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 15% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $117,182 per year, or $56.3 per hour.

Senior AI Solutions Architect (Remote Opportunity)

Charleston, SC • On-site, Remote

VetsEZ
IT Services • 51 - 200 employees
Learn more about VetsEZexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago

Job description

VetsEZ is seeking a Senior AI Solutions Architect to lead the design and implementation of enterprise Artificial Intelligence (AI) solutions supporting the Department of Veterans Affairs (VA), with responsibility for AI architecture across the JLV contract. The initial assignment will support the Joint Longitudinal Viewer (JLV) AI Search and Summarization initiative, delivering a secure, governed AI-assisted search and summarization MVP for development, clinical evaluation, and designated-user testing in an approved lower environment utilizing Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) within a secure AWS cloud environment.
Working closely with Government stakeholders, clinical subject matter experts, software engineers, cybersecurity teams, and DevSecOps personnel, this individual will establish the overall AI solution architecture while ensuring scalability, security, interoperability, Responsible AI, and compliance with Federal cybersecurity and AI governance requirements.
Responsibilities:
  • Lead the architecture, design, and implementation of enterprise AI solutions utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
  • Design scalable, secure, and maintainable AI architectures supporting enterprise healthcare applications.
  • Define solution architecture, data flows, system interfaces, AI orchestration, and integration patterns.
  • Evaluate AI technologies, services, and frameworks to support current and future project needs.
  • Ensure architecture supports approved future phases without expanding the authorized MVP scope.
  • Design AI solutions leveraging Amazon Bedrock and AWS cloud services.
  • Architect secure AI pipelines supporting approved document access and processing, retrieval, vector search, prompt orchestration, and AI-assisted summarization.
  • Define strategies for model selection, prompt management, retrieval optimization, and AI performance tuning.
  • Define monitoring and evaluation strategies to detect model, prompt, retrieval, and data drift and address degradation in accuracy, safety, or clinical relevance.
  • Optimize AI architectures for scalability, operational cost, reliability, and response time.
  • Collaborate with DevSecOps teams to support deployment automation and operational readiness.
  • Design integration between AI services and existing enterprise healthcare applications.
  • Define secure interfaces utilizing REST APIs and modern integration patterns.
  • Ensure solutions align with healthcare interoperability standards including FHIR, HL7, and CCD.
  • Collaborate with application development teams to integrate AI capabilities into clinician workflows.
  • Promote consistent architecture patterns and engineering best practices across JLV development teams.
  • Design AI solutions that comply with Federal cybersecurity, privacy, and Responsible AI requirements.
  • Incorporate Human-in-the-Loop (HITL), source traceability, approved data boundaries, retention and purge controls, explainability, auditability, and governance principles into solution architecture.
  • Support Authority to Operate (ATO), AI governance, Security Impact Analysis (SIA), and technology approval activities.
  • Ensure secure handling of Protected Health Information (PHI) and Personally Identifiable Information (PII).
  • Collaborate with cybersecurity teams to implement secure AI architectures and operational controls.
  • Serve as the technical leader for AI architecture across the JLV contract.
  • Mentor software engineers and provide architectural guidance throughout the software development lifecycle.
  • Participate in architecture reviews, design sessions, sprint planning, backlog refinement, and technical estimation.
  • Produce architecture documentation, system design artifacts, interface specifications, and implementation guidance.
  • Present technical approaches and architectural recommendations to Government leadership and stakeholders.

Requirements:
  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, Artificial Intelligence, Data Science, or a related technical field, or equivalent experience.
  • 10+ years designing enterprise software solutions.
  • 5+ years designing cloud-native architectures utilizing AWS or comparable cloud platforms.
  • Demonstrated experience architecting Artificial Intelligence, Machine Learning, or Generative AI solutions.
  • Experience implementing enterprise applications utilizing Amazon Bedrock or similar AI platforms.
  • Experience leading technical architecture across multidisciplinary engineering teams.
  • Amazon Bedrock and AWS cloud services
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Prompt engineering, source-grounded AI evaluation, and hallucination testing
  • Vector databases, embeddings, and semantic search
  • REST APIs and enterprise integration
  • Cloud architecture and distributed systems
  • DevSecOps and CI/CD
  • Healthcare interoperability (FHIR, HL7, CCD)

Additional Qualifications:
  • Strong understanding of enterprise architecture principles and cloud-native application design.
  • Experience balancing AI performance, scalability, security, explainability, and operational cost.
  • Excellent analytical, architectural, and problem-solving skills.
  • Strong written and verbal communication skills with the ability to communicate complex technical concepts to diverse audiences.
  • Ability to obtain and maintain a Government Public Trust clearance.
  • Experience supporting the Department of Veterans Affairs (VA), Department of Defense (DoD), or other Federal healthcare organizations.
  • Experience designing AI-enabled clinical workflow, search, summarization, or clinician-support solutions requiring human validation.
  • Knowledge of Responsible AI, NIST AI Risk Management Framework (AI RMF), NIST SP 800-53, FISMA, and FedRAMP, including applicable High-Impact AI requirements.
  • Familiarity with clinical terminology standards including SNOMED CT, ICD-10, RxNorm, and LOINC.
  • AWS Solutions Architect, AWS AI, Machine Learning, or other AWS cloud certifications are highly desirable.

Security Clearance Requirements
  • U.S. Citizenship is required.
  • All selected candidates must successfully complete a background check.
  • Ability to obtain and maintain a Government/Public Trust clearance, including required fingerprinting, when required for the position.

Benefits:
  • Medical, Dental, and Vision Insurance
  • 401(k) with Employer Match
  • Paid Time Off plus Federal Holidays
  • Corporate Laptop
  • Professional Development and Training Opportunities
  • Remote Opportunity

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.
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