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Junior/Mid Full Stack Software Engineer

Black Canyon Consulting
CompanyBlack Canyon Consulting
CategoryEngineering
LocationNIH-Bethesda
RemoteOn-site (inferred)
EmploymentNot stated
LevelEntry
SalaryNot stated by the employer
Posted27 Apr 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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Description
Overview Black Canyon Consulting (BCC) is working with our partner Knowledge3 (knowledge3.ai)  to search for a Junior/Mid Full Stack Software Engineer with DevOps exposure supporting delivery of knowledge-first systems. You will build systems that turn fragmented scientific and enterprise data into structured, reusable knowledge assets that support explainable reasoning, governed analytics, and trustworthy AI. This is a hands-on engineering role focused on building and operating production-ready applications across frontend, backend, and deployment environments. You will support systems built around a question-driven approach, where APIs, data pipelines, and interfaces align to clearly defined query patterns and system behavior. This is a remote-first role with a preference for U.S.-based candidates working East Coast hours. Work is primarily asynchronous, with periodic coordination across the team. .   Duties & Responsibilities Build and maintain web interfaces using React, Next.js, JavaScript, and TypeScript Implement, debug, and improve backend services in Python, including GraphQL APIs and supporting REST endpoints Integrate with storage and data sources including local files, SQLite, and S3-compatible systems Implement application-level security features Write and maintain automated tests and improve reliability Support application deployment and operation across environments Containerize applications using Docker and Docker Compose Configure environments, logging, TLS, and monitoring Collaborate across repositories and services Requirements 1–4 years of experience or equivalent Strong Python experience Experience with React or Next.js Experience with APIs, including GraphQL or REST Experience with Docker Familiarity with Linux environments and debugging Experience with authentication Automated testing experience Willingness to work across the stack   Bonus Skills AWS experience Knowledge graph familiarity Experience with graph databases Exposure to deployment tooling If you enjoy being part of a high-performing, professional, technology-focused organization, please apply today!  
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