Senior Backend Engineer

Sandboxx•Middleburg, VA

64d•Onsite

About The Position

Sandboxx is the leading platform dedicated to finding and building technology solutions throughout a service member's military life cycle. We're looking for people with drive and initiative who are excited about making great technology and a positive attitude for our service members. Come help us build meaningful solutions for the military community! Senior Backend Engineer (AI-Accelerated) This is a full-time W2, in-office position based in Middleburg, Virginia. We offer a generous relocation stipend to make your move smooth and stress-free. Our office is dog-friendly, your four-legged friends are welcome here! Sandboxx is seeking a Senior Backend Engineer who is passionate about cloud-native systems, scalable architectures, and AI integrations. You will be at the forefront of designing, building, and optimizing our backend services and APIs, while driving the integration of machine learning and AI-based features into our products. You’ll collaborate with a small, highly skilled team of engineers across iOS, Android, and web (React) while owning the backend roadmap. We’re a mission-driven team building products that matter. If you’re motivated by purposeful work, enjoy end-to-end ownership, and have experience leveraging AI coding tools to move faster and build smarter, this role is for you.

Requirements

5+ years of experience building and scaling production backend systems, ideally in high-growth or product-focused environments.
Deep fluency in Python and Go, with strong knowledge of building secure APIs (REST and GraphQL).
Hands-on experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Anthropic) in your workflow.
Strong foundation in cloud-native architectures with GCP (Pub/Sub, Cloud Run, BigQuery, IAM).
Comfortable with asynchronous programming patterns and event-driven architectures.
Experience integrating REST APIs and GraphQL, including schema design and performance optimization.
Prior experience deploying features via CI/CD pipelines (e.g., GitHub Actions, CircleCI).
Passion for clean code, maintainable systems, and high performance.
Familiarity with data privacy, security best practices, and compliance requirements (e.g., SOC 2).
Self-directed and proactive—especially in a fully remote environment.

Nice To Haves

Experience with Strapi, containerized applications (Docker/Kubernetes), or AI/ML pipelines.

Responsibilities

Architect & Build: Design and implement robust backend services, APIs, and event-driven systems using Python, Go, and GraphQL.
AI & ML Integration: Collaborate with the team to incorporate LLMs, AI-driven personalization, and intelligent workflows into our products.
Cloud Infrastructure: Manage, scale, and optimize services on Google Cloud Platform (GCP), including Pub/Sub, Cloud Run, BigQuery, and Cloud Functions.
API Design & Security: Build and maintain secure, high-performance GraphQL APIs and REST endpoints.
Data Management: Work with structured and unstructured data, ensuring data pipelines are reliable, efficient, and ready for AI/ML workloads.
DevOps & Observability: Contribute to CI/CD pipelines, monitoring, and logging with modern tools.
Innovation: Evaluate and prototype new technologies, especially AI-focused frameworks and cloud-native architectures.