Senior Software Engineer

MedSpeed•Elmhurst, IL

1d•Hybrid

About The Position

The Senior Software Engineer will help shape the next generation of our logistics platform. Our users - hospital, lab, and pharmacy teams - need deeper visibility into every item we carry and better tools to stay productive on the go. This role is a mix of evolving our core systems, expanding what the platform can do, and raising the engineering standards that let us ship confidently. The Senior Software Engineer operates with the scope and influence of a senior-level engineer, taking ownership of cross-service architecture, shaping technical direction in collaboration with peers, and continuously elevating engineering standards, delivery quality, and team execution.

Requirements

7+ years of professional experience in full stack software engineering.
Bachelor’s degree in Computer Science, Software Engineering, or a related field
Demonstrated mastery of the .NET ecosystem, including C#, ASP.NET Core, and Entity Framework
Hands-on experience building and scaling applications within the Azure ecosystem, including Azure App Service, Azure Functions, and Azure Service Bus
Proven experience in DevOps practices, including pipeline optimization, environment configuration, and maintaining enterprise-grade cloud infrastructure

Nice To Haves

Background delivering mobile apps for field or frontline users
Prior work in logistics, marketplaces, or any platform with a heavy third-party integration surface
Experience or strong exposure to agentic AI frameworks and orchestrating AI-driven solutions for complex engineering or business challenges
Experience with Flutter (web or mobile), or a modern frontend framework (React, Vue, Angular)
Geospatial, routing, or mapping experience
Curiosity about - and some hands-on use of - AI tooling (including agentic workflows) applied to engineering or operational problems (emphasizing practical application rather than specialization)

Responsibilities

Lead the architecture and delivery of complex logistics capabilities end-to-end - from design through production - with a focus on scalability, reliability, and speed.
Design event-driven, distributed systems that handle the realities of a 24/7 operation: out-of-order events, retries, idempotency, partial failure, and eventual consistency.
Design data models and database schemas that scale with system growth - making deliberate choices about normalization, indexing, partitioning, and relational vs. non-relational storage based on how the data is actually used.
Shape APIs and integration patterns (REST, webhooks, contract/versioning) that let internal teams and external partners plug into our platform cleanly.
Build the tracking, visibility, and on-the-go productivity features our hospital, lab, and pharmacy users need - backend services and, where it matters, the web and mobile experiences that expose them.
Partner on geospatial and routing work that keeps couriers efficient and items on time.
Make observability a first-class concern - tracing, structured logs, meaningful alerts, and fast incident response - so we debug the real world instead of guessing.
Champion the CI/CD, automated testing, feature-flag, and "release with confidence" practices that let a lean team ship fast without breaking things.
Spot opportunities where AI tooling (including agentic workflows) can meaningfully speed up engineering or operations, and apply it pragmatically where it earns its place.
Influence engineering culture by setting technical direction, mentoring, and raising the bar through code, design reviews, and example.