Principal Software Engineer

February 3

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Logo of Rebellion Defense

Rebellion Defense

Rebellion Defense is a company focused on developing advanced software for national security and defense purposes. Their mission is to equip warfighters with cutting-edge software capabilities to detect and deter adversaries swiftly and efficiently. They have won several U. S. military contracts, including those from the U. S. Navy and U. S. Air Force, to enhance target recognition and strengthen cyber resilience. Rebellion Defense combines the expertise of private sector technologists and defense veterans to create technology that addresses complex security challenges.

artificial intelligence • software • defense • nationalsecurity

201 - 500 employees

🤖 Artificial Intelligence

🔐 Security

🏛️ Government

💰 $150M Series B on 2021-09

📋 Description

• Own the technical engineering product portfolio and help define the vision for Rebellion Iris (by collaborating with a product manager) to write product specifications, a detailed product roadmap, and translate customer requirements into software engineering architecture. • Guide, direct, and collaborate with the software engineering team to build and produce better outcomes. • Be a prolific contributor in a hands-on way to Rebellion Iris products to ensure interoperability and extensibility. • Drive architectural decisions and serve as the organization’s subject matter expert as it relates to Iris’ capabilities.

🎯 Requirements

• 8+ years of professional work experience as a principal architect or senior software engineer • Demonstrated ability working on and leading efforts to productionize high scale software capabilities • Deep expertise in working in both commercial cloud environments (AWS, Azure, GCP, etc.) and on-prem environments, with the ability to optimize for edge deployments • Prior experience with edge deployments, building data pipelines to process high volumes of data • Experience scoping, designing, and delivering solutions for large complex challenges • Prior experience working or leading the technical direction of a team developing AI/ML products and significant experience of the ML operations workflow • Deep familiarity with microservices architecture and asynchronous product design (queues, streams, threads, etc.) • Working knowledge of Go, Python, C++, GPRC, and Terraform • Working knowledge of containerization, specifically Kubernetes and Docker • Ability to communicate technical direction and roadmaps.

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🔴 Lead

🧑‍💻 Full-stack Engineer

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