Senior/Staff Software Engineer, Sage

• 8+ years of software engineering experience, with significant depth in backend and/or embedded systems
• Track record of leading complex technical projects from conception through delivery, influencing outcomes across team boundaries
• Demonstrated ability to mentor engineers and elevate team capabilities
• Proven experience and proficiency in Java and object oriented principles
• Working knowledge of Linux, networking and RF communication
• Strong communication skills, with experience presenting technical concepts to both technical and non-technical audiences
• A history of coming up with solutions to problems that could be described as MacGyver-esque (in a good way!)

Desirable

• As a Senior/Staff Backend IoT Engineer, you will be a technical leader responsible for bridging physical systems at senior living communities with the cloud computing infrastructure that powers the Sage platform
• You will define the architectural direction for our edge computing systems and drive technical decisions that impact the entire organization
• You will work closely with Engineering, Product, and Implementation teams to help create the next generation of software/hardware solutions that revolutionize care in senior living
• Beyond individual contribution, you will mentor engineers across the team, establish engineering best practices, and serve as a key technical voice in company-wide strategic decisions
• You will have the opportunity to own multiple projects (e.g. , fall detection, location tracking technology, integration with third-party hardware)
• Your contributions to the edge and backend technology stacks will directly impact the ability to scale the adoption of Sage's offerings and improve the senior living industry
• Define and evolve the technical architecture for Sage's edge computing platform, balancing immediate delivery needs with long-term scalability
• Lead cross-functional initiatives spanning Hardware, Cloud Infrastructure, and Client Success to deliver end-to-end solutions
• Mentor and grow engineers through code reviews, design reviews, and knowledge sharing
• Develop greenfield solutions to solve some of the most challenging problems in the senior living industry
• Develop software that will run on thousands of on-premise deployed systems and design the cloud systems that will allow for their orchestration
• Create and maintain software to create high fidelity diagnostics of edge hardware
• Design methods to train machine learning models that determine location of residents at senior living communities
• Develop full-stack services and review pull requests with the broader engineering team, raising the bar for code quality and system design
• Remotely troubleshoot and diagnose issues with edge deployed hardware and software, working closely with support and client success teams to systematically address root causes