4256 Net Developer jobs in Centreville,VA

Your Amazon package will include sign-on payments and restricted stock units (RSUs).

USA, CO, Denver - 131,300.00 - 177,600.00 USD annually

USA, VA, Arlington - 131,300.00 - 177,600.00 USD annually

USA, VA, Herndon - 131,300.00 - 177,600.00 USD annually

Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture.

Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D; insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

This position requires that the candidate selected be a US Citizen

Must currently possess and maintain an active TS/SCI security clearance with polygraph

3+ years of programming in Python, Ruby, Go, Swift, Java, .Net, C++ or similar object oriented language experience

3+ years of IT implementation experience

Experience with continuous integration and continuous delivery

3+ years of cloud architecture and solution implementation experience

Current, active US Government Security Clearance of TS/SCI with Polygraph

Experience in technical support, or experience managing full application stacks from the OS up through custom applications

Experience in operations and on-call support for data center facilities, mission critical plants, or production facilities, or experience in requirement gathering and ability to write clear and detailed requirement document

Experience in technical support, or experience troubleshooting and debugging technical systems and experience in Kubernetes, Docker or containers ecosystem

Experience leading cross-functional teams across engineering, operations, and field execution through launch readiness and go-live phases, or experience building launch readiness frameworks, standard work, playbooks, and scalable deployment mechanisms across multiple concurrent sites

Experience working with technology customers, such as software providers

$99,000.00 to $225,000.00 (annualized USD)

Health, life, disability, financial, and retirement benefits

Paid leave

Professional development

Tuition assistance

Work-life programs

Dependent care

Recognition awards program

2+ years of experience using data science programming languages such as Python or R

Experience creating ETL pipelines, including querying APIs, cleaning and conditioning data, and creating schemas for data storage

Experience with version control tools, including Git, GitLab, GitHub, or Bitbucket

Knowledge of statistical analysis, predictive modeling, and machine learning methods

Ability to design and develop automated analytic software, techniques, and algorithms

Ability to develop solutions and integrate and extend free and open-source software (FOSS) or COTS products

Ability to generate data visualizations with tools such as Kibana, Tableau, or Power BI

Active TS/SCI clearance; willingness to take a polygraph exam

Bachelor's degree

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Experience working with GEOINT, HUMINT, MASINT, OSINT, and SIGINT, and the data and tools associated with these disciplines

Experience with intelligence or operations analysis in the DoD or Intelligence Community

Experience developing and implementing ontological frameworks

Experience in the development of algorithms leveraging R, Python, or SQL and NoSQL

Experience working with Deep Learning and AI frameworks, including PyTorch, TensorFlow, and Keras

Experience working with Retrieval-Augmented Generation (RAG) and Large Language Models (LLM)

Experience with Distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL

Experience with visualization packages, including Plotly, Seaborn, or ggplot2

Knowledge of DevOps, including CI/CD pipelines and Jenkins