MCG · United States
Join MCG’s mission to transform healthcare through technology. As a Staff Software Development Engineer, you’ll lead the design and scalability of Synapse Everywhere, a new API platform delivering clinical intelligence to healthcare partners. You’ll own technical decisions, mentor peers, and drive reliability in a high-impact, mission-driven environment.
About the Role
This role treats an API as a product. You will be part of the team that determines what Synapse Everywhere exposes, how it behaves under load and failure, and what the experience of building on it feels like for an external developer. You will work directly with the Director of Software Engineering to determine what is feasible to build, in what order, and with what guarantees. This is a new platform so high ambiguity is the baseline, not the exception.
What You Will Do
Establish yourself as the engineer others look to when the problems are the hardest and make sure they come away knowing how to approach the next one themselves.
Lead API surface decisions: what gets exposed, what stays internal, what the stability guarantees are for external consumers.
Own technical discovery for new capabilities; work with product and clinical stakeholders to translate requirements into feasible contracts.
Participate in on-call rotation for the Synapse Everywhere platform; respond to incidents, own post-incident reviews, and drive reliability improvements from what is learned.
Provide expert code reviews and technical mentorship within the team.
Design solutions on modern infrastructure (cloud solutions, k8s, LLMs) with expert level understanding of what and why, not just being able to call infrastructure or run pipelines.
What We Are Looking For
At least 7+ years of professional software development experience, with a meaningful portion spent designing or operating public or partner-facing APIs.
Deep knowledge with back-end technologies such as Golang, Python, and Kotlin.
Experience with API gateway or management tooling in a production environment (e.g., Azure API Management, Kong, AWS API Gateway).
Experienced in building meaningful tests at all layers (unit through live verification).
Capable of setting up effective monitoring solutions for both APIs and model performance.
Excellent analytical, research, and communication skills.
Experience in Health Care Industry (Preferred).
Experience with Machine Learning Data Science or NLP (Preferred).
Seattle-based talent is preferred for this role. Apply now to be part of a mission-driven, high-impact team shaping the future of healthcare technology.