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Senior C Developer Remote Jobs in Virginia (NOW HIRING)

TestPros

Senior AI Test Engineer (Remote)

Sterling, VA · On-site +1

$50 - $80/hr

Strong experience with CI/CD pipelines and DevOps integration (GitHub). * Solid understanding of ... Remote-friendly with occasional on-site or hybrid work as needed. Rate: $50-80/hr. 1099 or Corp. To ...

Synertex LLC

Senior Software Developer

Herndon, VA · On-site +1

$56 - $74/hr

Senior Software Developer National Capital Region TS/SCI Polygraph | Hybrid (Remote with Occasional On-Site) | Immediate Hire Join Synertex and bring your expertise to a mission that matters. We're ...

SAP SuccessFactors

SAP NS2 Sr. DevOps Engineer

Herndon, VA · On-site +1

$133K - $171K/yr

SAP NS2 Senior DevOps Engineer - Remote COMPANY DESCRIPTION SAP is the global market leader for business software and related services, and SAP National Security Services Inc. (SAP NS2) is an ...

Maximus

Senior Director, Secure DevOps

VA · On-site +1

$130K - $167K/yr

  • Medical

  • Life

  • Retirement

  • PTO

General information Job Posting Title Senior Director, Secure DevOps Date Wednesday, May 27, 2026 ... This is a remote position. Essential Duties and Responsibilities: - Oversee the development and ...

Booz Allen Hamilton, Inc.

Software Developer, Senior

Quantico, VA · On-site +1

$86K - $198K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: Hybrid Job Number: R0243415 Location: Quantico,VA,US Share job via: Share Software Developer, Senior The Opportunity: As a full stack developer, you can resolve a problem with a complete ...

SAP

SAP NS2 Sr. DevOps Engineer

Herndon, VA · On-site +1

$133K - $171K/yr

SAP NS2 Senior DevOps Engineer - Remote COMPANY DESCRIPTION  SAP is the global market leader for business software and related services, and SAP National Security Services Inc. ® (SAP NS2 ® ) is ...

NT Concepts

Software Developer, Senior

Vienna, VA · Remote

$54.75 - $72.25/hr

Remote with occasional travel to the DC metro area. We are seeking a Software Developer to join our ... C, etc.) Physical Requirements: * Prolonged periods sitting at a desk and working on a computer.

Nüvitek

Senior Application Developer

Arlington, VA · On-site +1

$125K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Application Developer Department: Software Development Employment Type: Full Time Location ... Remote Compensation: $125,000 - $135,000 / year Description At Nüvitek, customer success is our ...

Booz Allen Hamilton, Inc.

TAK Developer, Senior

Mclean, VA · On-site +1

$86K - $198K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0241334 Location: McLean,VA,US Share job via: Share TAK Developer, Senior The Opportunity: As a full stack developer, you can resolve a problem with a complete end-to-end ...

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Senior C Developer Remote information

What is a senior C developer remote?

Senior C Developers (Remote) are experienced software engineers who specialize in programming with the C language while working from a remote location. They are responsible for designing, developing, and optimizing complex software systems, often contributing to performance-critical applications. In addition to strong technical expertise in C, they typically have experience with debugging, code reviews, and collaborating with distributed teams. Their role may also involve mentoring junior developers and ensuring code quality across projects.

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

To excel as a Senior C Developer, you need deep expertise in C programming, strong problem-solving abilities, and a relevant degree in computer science or a related field. Familiarity with development tools such as GCC, GDB, Git, and experience with operating systems like Linux are typically required, along with possible certifications in software development. Excellent communication, self-motivation, and the ability to collaborate virtually are crucial soft skills for remote work. These competencies ensure efficient code delivery, effective teamwork, and adaptability in a remote and technically challenging environment.

What are some common challenges faced by senior C developers working remotely, and how can they be addressed?

Senior C Developers working remotely often encounter challenges like maintaining effective communication with distributed teams, ensuring code quality across different environments, and managing complex codebases without direct in-person collaboration. To address these, it's important to leverage robust version control systems, participate actively in virtual meetings, and make use of collaborative tools for code review and documentation. Additionally, setting clear expectations for deliverables and maintaining regular check-ins with teammates can help foster a productive remote work environment.

What is the difference between Senior C Developer Remote vs C Software Engineer?

AspectSenior C Developer RemoteC Software Engineer
Required CredentialsBachelor's in Computer Science or related field; experience in C programmingBachelor's in Computer Science or related field; experience in C programming
Work EnvironmentRemote, independent or team-based projectsTypically office-based or remote, focused on software development
Employer & Industry UsageTech companies, startups, software firmsTech, embedded systems, hardware companies
Common Search & ComparisonYesYes

The main difference between a Senior C Developer Remote and a C Software Engineer lies in experience level and job scope. Senior C Developers typically have more project leadership responsibilities and advanced expertise, while C Software Engineers focus on coding and development tasks. Both roles often require similar credentials and are used across tech and software industries, with the key distinction being seniority and project involvement.

What are popular job titles related to Senior C Developer Remote jobs in Virginia?

For Senior C Developer Remote jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Senior C Developer Remote jobs in Virginia look for?

The top searched job categories for Senior C Developer Remote jobs in Virginia are:

What cities in Virginia are hiring for Senior C Developer Remote jobs?

Cities in Virginia with the most Senior C Developer Remote job openings:

Senior C Developer Remote jobs near you
Infographic showing various Senior C Developer Remote job openings in Virginia as of August 2026, with employment types broken down into 73% Full Time, and 27% Contract. Highlights an 100% Remote job distribution.

Senior MLOps & Generative AI Engineer - Remote

Sentara Healthcare

Virginia Beach, VA • On-site, Remote

$99K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Sentara Health rating

6.7

Company rating: 6.7 out of 10

Based on 412 frontline employees who took The Breakroom Quiz

531st of 887 rated healthcare providers

Job description

City/State
Virginia Beach, VA
Work Shift
Multiple shifts available
Overview:
Sentara is hiring a Senior MLOps & Generative AI Engineer!
This position is fully remote!
Selected candidates would be required to be onsite for final round of team interview
Candidates must reside in one of the following states:
Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, West Virginia, Wisconsin, or Wyoming.
Overview
We are seeking a highly skilled and experienced Senior MLOps & Generative AI Engineer to join our growing AI organization and help advance current and future initiatives applying machine learning, deep learning, NLP, and Generative AI technologies to improve healthcare outcomes and operational excellence.
This role combines two critical focus areas:
  • MLOps Engineering - building and scaling enterprise-grade ML infrastructure, deployment pipelines, observability, governance, and automation capabilities.
  • Generative AI Engineering - designing, architecting, deploying, and optimizing secure, production-ready GenAI applications and platforms leveraging LLMs, RAG architectures, vector databases, prompt orchestration, and AI evaluation frameworks.

As a Senior Engineer, you will partner closely with AI Scientists, Data Engineers, Software Engineers, Architects, and Product teams to operationalize AI/ML and Generative AI solutions at enterprise scale. You will play a key role in shaping the organization's AI platform strategy, driving best practices, and delivering scalable, secure, and reliable AI systems in production healthcare environments.
Key Responsibilities
MLOps Engineering Responsibilities
  • Design, build, and maintain scalable ML infrastructure and pipelines supporting model training, deployment, monitoring, governance, and lifecycle management.
  • Develop and optimize CI/CD pipelines for machine learning and AI workloads across development, staging, and production environments.
  • Build reusable ML platform capabilities including feature stores, model registries, experimentation frameworks, artifact management, and deployment automation.
  • Implement scalable orchestration and workflow solutions for batch and real-time ML inference workloads.
  • Create robust monitoring systems to measure model performance, detect model drift, monitor data quality, and ensure production reliability.
  • Develop automation tools and self-service capabilities to improve the efficiency, scalability, and reliability of MLOps processes.
  • Collaborate with Data Scientists and Software Engineers to streamline the ML lifecycle from experimentation through enterprise production deployment.
  • Apply software engineering best practices to AI/ML systems including testing, observability, resiliency, security, versioning, and infrastructure-as-code.
  • Identify gaps and improvement opportunities within the organization's ML platform ecosystem and architect scalable solutions to address them.
  • Support enterprise AI governance, compliance, auditability, and model risk management requirements.
  • Ensure platform scalability, reliability, security, and operational excellence across AI/ML systems.

Generative AI Engineering Responsibilities
  • Lead the architecture, design, and deployment of enterprise Generative AI solutions leveraging LLMs, foundation models, and agentic AI systems.
  • Design and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases, embeddings, semantic search, reranking, and retrieval optimization strategies.
  • Build scalable LLM orchestration frameworks using technologies such as LangChain, LlamaIndex, Semantic Kernel, or equivalent frameworks.
  • Develop advanced prompt engineering strategies, prompt chaining, context management, and agent workflows to improve LLM accuracy and reliability.
  • Evaluate and implement fine-tuning, parameter-efficient tuning, and prompt-based optimization approaches for domain-specific use cases.
  • Build AI evaluation and benchmarking frameworks to measure hallucination rates, response quality, grounding accuracy, toxicity, bias, latency, and business performance metrics.
  • Implement AI safety guardrails, governance controls, content filtering, and responsible AI practices for enterprise healthcare environments.
  • Design scalable GenAI APIs and microservices supporting high-throughput enterprise AI applications.
  • Optimize GenAI systems for cost, latency, throughput, and inference performance across cloud and hybrid environments.
  • Integrate enterprise data sources, healthcare systems, and knowledge repositories into secure GenAI workflows.
  • Research and evaluate emerging GenAI technologies, open-source frameworks, and foundation models to drive innovation and continuous improvement.
  • Develop architecture diagrams, technical roadmaps, implementation strategies, and executive-level documentation for enterprise AI initiatives.
  • Collaborate with cybersecurity, compliance, and infrastructure teams to ensure secure and compliant deployment of GenAI solutions involving PHI and sensitive healthcare data.
  • Contribute to the development of AI platform standards, reusable GenAI accelerators, templates, and engineering best practices.

Required Qualifications
  • 5+ years of experience building and deploying production software, ML systems, or AI platforms.
  • 1+ years of hands-on experience building production Generative AI or LLM-based applications.
  • Strong programming skills in Python and experience with software engineering best practices.
  • Experience with major deep learning and LLM frameworks such as PyTorch, Hugging Face Transformers, TensorFlow, or equivalent.
  • Hands-on experience implementing RAG architectures, vector search, embeddings, prompt engineering, and LLM orchestration frameworks.
  • Experience with vector databases such as Pinecone, Weaviate, Chroma, FAISS, Milvus, or equivalent technologies.
  • Experience deploying AI/ML systems in cloud environments including AWS, Azure, or GCP.
  • Strong understanding of APIs, distributed systems, microservices, and scalable backend architectures.
  • Experience with Kubernetes, containerization, orchestration, and cloud-native infrastructure.
  • Experience implementing CI/CD pipelines, infrastructure automation, and MLOps best practices.
  • Experience building monitoring, observability, and alerting solutions for ML and AI systems.
  • Strong understanding of AI/ML lifecycle management, governance, model versioning, and production operations.
  • Experience designing secure, scalable, production-ready AI platforms and services.
  • Strong communication and collaboration skills with the ability to work across technical and business teams.

Preferred Qualifications
  • Previous experience implementing Generative AI and MLOps solutions within healthcare environments.
  • Experience working with EPIC or healthcare interoperability platforms.
  • Understanding of HIPAA, PHI handling, healthcare compliance, and responsible AI practices.
  • Experience with AI governance frameworks, LLM evaluation methodologies, and AI safety tooling.
  • Experience with GPU infrastructure optimization and scalable inference architectures.
  • Familiarity with multi-agent AI systems and autonomous workflows.
  • Experience with event-driven architectures, streaming pipelines, and real-time inference systems.
  • Exposure to model fine-tuning techniques including LoRA, PEFT, RLHF, or domain adaptation strategies.
  • Experience with enterprise AI platform architecture and internal developer platforms.
  • Prior experience mentoring engineers and leading technical initiatives.

Education
  • 5+ years of relevant experience with a degree (Required)

or
  • 7+ years of relevant experience without a degree (Required)
  • Experience in lieu of Bachelor's Degree.

Certification/Licensure
  • No specific certification or licensure requirements

Experience
  • 5 to 7 years of relevant experience

We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for Full Time employment is: 91,416.00 - 152,380.80. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities.
Keywords: Talroo-IT, MLOps, Gen AI, LLM, AWS, Azure, GCP, AI/ML, Python, PyTorch, Hugging Face Transformers, TensorFlow, RAG, EPIC, HIPAA, AI Governance
Benefits: Caring For Your Family and Your Career
• Medical, Dental, Vision plans
• Adoption, Fertility and Surrogacy Reimbursement up to 10,000
• Paid Time Off and Sick Leave
• Paid Parental & Family Caregiver Leave
• Emergency Backup Care
• Long-Term, Short-Term Disability, and Critical Illness plans
• Life Insurance
• 401k/403B with Employer Match
• Tuition Assistance - 5,250/year and discounted educational opportunities through Guild Education
• Student Debt Pay Down - 10,000
• Pet Insurance
• Legal Resources Plan
• Colleagues have the opportunity to earn an annual discretionary bonus if established system and employee eligibility criteria is met.
Sentara Health is an equal opportunity employer and prides itself on the diversity and inclusiveness of its close to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves.
In support of our mission "to improve health every day," this is a tobacco-free environment.
For positions that are available as remote work, Sentara Health employs associates in the following states:
Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.

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