Full Stack Engineer

Job not on LinkedIn

July 22

⚔️ Virginia – Remote

Although this job is listed in Virginia, this company may be open to hiring remote in other states.

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

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Whitespace

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Security • Artificial Intelligence • Compliance

Whitespace is a company focused on developing privacy-conscious techniques to measure, simulate, and understand human activity globally. The company serves public health, risk intelligence, research, law enforcement, nonprofit, national defense, and regulatory organizations to enhance human security in the digital age. Their data-driven solutions analyze movement, dwell, and interaction to report, simulate, and interpret activity patterns anywhere in the world. Whitespace's innovative approaches also map, track, and predict vessel movements, particularly in regions like the Black Sea, tackling sophisticated maritime crimes. The company emphasizes the importance of network connections in interpreting data streams from various sources such as social media and IoT.

2 - 10 employees

🔐 Security

🤖 Artificial Intelligence

📋 Compliance

📋 Description

• Full Stack Engineer • Location: Remote / Alexandria, VA • Clearance: Eligibility to be cleared • Are you ready to be part of a team that creates cutting-edge AI-powered analysis and simulation on-demand? At Whitespace, we use our Iris platform to uncover hidden relationships and patterns of life (POL) at machine speed, enhancing mission performance like never before. • Whitespace is seeking an innovative Full Stack Engineer to join our dynamic team. The ideal candidate will have a full-stack engineering mindset, while bridging AI model integration, cloud development, and web application deployment, ensuring flexibility across GCP and Azure. The key responsibility of this position is to develop end-to-end solutions for our clients and for internal use. You will be working with a small group of developers and engineers who are tasked with building the systems that will aid our clients in staying ahead of tomorrow’s threats. • If you are passionate about making a difference in the world and being part of groundbreaking technology in national security, this position is for you! • This position is 100% remote for candidates who are not located within fifty miles of the corporate office. This position will report directly to the Vice President of Engineering. The candidate must be a U.S. citizen and reside in the contiguous United States. You will be a W-2 employee of GeoDelphi, Inc., and we do not accept third-party applications.

🎯 Requirements

• Develop AI-Driven Applications: Build full-stack solutions integrating AI models into web applications, APIs, and cloud services. • Ability to use a wide variety of open-source technologies and cloud-based services. • Handling both front-end (user interface, UI/UX) and back-end (server-side logic, database management) development aspects of AI-powered applications. • Backend Engineering: Develop efficient and scalable backend services using Python (Flask, FastAPI), Node.js (Express), or Java (Spring Boot) with databases like BigQuery, Firestore, PostgreSQL, or Azure Cosmos DB. • Frontend Engineering: Design intuitive user interfaces with React, Angular, or Vue.js, ensuring performance and accessibility. • Develop APIs and microservices that expose AI capabilities for use across multiple business units. • Ensure AI solutions comply with data privacy, governance, and security best practices on both GCP and Azure. • Adapt to a hybrid cloud environment, ensuring applications can run across GCP and Azure without disruption. • Work in an agile setup, collaborating with data scientists, cloud engineers, and business teams to prototype, test, and deploy AI solutions. • Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. • Optimizing the performance and scalability of AI-driven applications and related infrastructure. • A bachelor's degree in Computer Science, Software Engineering, Information Technology, AI, or related field with a minimum of 5 years of technical engineering experience. Will consider work experience in lieu of a degree. • Cloud Expertise: GCP & Azure • GCP services: Cloud Run, Kubernetes (GKE), BigQuery, Firestore, IAM, Pub/Sub. • Azure services: Azure Kubernetes Service (AKS), App Service, Azure Machine Learning, Azure Functions, Cosmos DB. • MLOps & AI Integration: Experience with Vertex AI, TensorFlow Serving, MLFlow, or Azure ML Model Deployment. • DevOps & CI/CD: Experience with Cloud Build, GitHub Actions, Azure DevOps, Terraform for infrastructure automation. • Hybrid & Multi-Cloud Experience: Ability to design and deploy applications that run across GCP and Azure. • Exposure to containerization (Docker, Kubernetes, Helm) and serverless architectures. • Experience in LLMs, Generative AI, and AI observability is a plus. • Knowledge of AI governance, explainability, and responsible AI practices.

🏖️ Benefits

• Medical, Dental, and Vision plans • Unlimited PTO • Federal Holiday Paid Leave • 12 weeks of paid Parental Leave • Employer paid STD/LTD • Employer Paid Life Insurance • 401K plan and Employer Match • Professional Development Assistance • Equity Incentive Plan