694 .net Developer jobs in Midlothian, VA

Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
At least 7 years of experience working in Product Management
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration

CoStar Group

Richmond, VA 23223

civica rx

Petersburg, VA 23803

Knowledge of GMP, regulatory requirements, and industry best practices.
Experience in a continuous process improvement environment, including change management.
Strong communication and collaboration skills, committed to meeting high-quality standards.
Experience with sterile fill-finish manufacturing.
Experience in using Computerized Maintenance Management Systems.
Ability to work autonomously and within established guidelines, procedures, and practices.
High school diploma with 4 years of experience in executing maintenance to manufacturing equipment, or an associate's degree or higher in Pharmaceutical Sciences, Engineering, or a related field is preferred.

Compunnel

Richmond, VA 23223

Hands-on experience with CI/CD tools (Azure DevOps, GitHub, Jenkins) and IaC tools such as Terraform or CloudFormation
12+ years of IT experience, including 5–7+ years in solution or enterprise architecture roles
Strong background in Java, Node.js, Python, Angular/React, REST APIs, microservices, and event-driven architecture
Cloud architect certifications (AWS/Azure/GCP)
TOGAF
Experience with ML frameworks such as TensorFlow, scikit-learn, and MLlib
Deep knowledge of AWS, Azure, and GCP cloud services, networking, containers, Kubernetes, serverless, and distributed systems
Demonstrated experience delivering enterprise platforms with integrated AI/ML capabilities
Expertise in data engineering, including data warehousing, ETL, metadata management, and real-time architectures
Experience leading global, cross-functional, multidisciplinary teams