Sr Staff SW Development Engineer

The Company

Dexcom Corporation (NASDAQ DXCM) is a pioneer and global leader in continuous glucose monitoring (CGM). Dexcom began as a small company with a big dream: To forever change how diabetes is managed. To unlock information and insights that drive better health outcomes. Here we are 25 years later, having pioneered an industry. And we're just getting started. We are broadening our vision beyond diabetes to empower people to take control of health. That means personalized, actionable insights aimed at solving important health challenges. To continue what we've started: Improving human health.

We are driven by thousands of ambitious, passionate people worldwide who are willing to fight like warriors to earn the trust of our customers by listening, serving with integrity, thinking big, and being dependable. We've already changed millions of lives and we're ready to change millions more. Our future ambition is to become a leading consumer health technology company while continuing to develop solutions for serious health conditions. We'll get there by constantly reinventing unique biosensing-technology experiences. Though we've come a long way from our small company days, our dreams are bigger than ever. The opportunity to improve health on a global scale stands before us.

Meet the team:

In this role, you will be a key contributor within Dexcom’s System and Solution Organization, building the next generation of cloud‑native, data‑driven, and AI‑augmented platform capabilities.You will work closely with AI Platform Engineers to deliver scalable backend services, APIs, and the infrastructure powering Dexcom’s rapidly growing AI features. Our team develops at high velocity using modern AI‑assisted development tools while maintaining the reliability and regulatory discipline required for medical‑grade systems (ISO/FDA).

If you enjoy solving complex problems, iterating quickly, and leveraging cutting‑edge engineering practices, you will thrive here.

Where you come in:

• Lead the architecture, design, and evolution of highly scalable cloud-native backend platforms, APIs, event-driven services, and data systems powering critical business and product capabilities.

• Drive technical strategy and engineering excellence across multiple teams, influencing architectural decisions, technology adoption, and long-term platform investments.

• Champion AI-assisted software development practices, establishing standards, workflows, and best practices that improve engineering velocity, code quality, and developer productivity.

• Provide technical leadership throughout the software lifecycle, including solution design, implementation, automated testing, performance optimization, security, observability, deployment, and operational readiness.

• Design and optimize distributed systems leveraging GCP services such as Firestore, Cloud SQL, Pub/Sub, and other cloud-native technologies to ensure scalability, reliability, and cost efficiency.

• Partner closely with Product, Architecture, Security, SRE, Data, and Engineering leaders to define technical roadmaps, resolve complex cross-functional challenges, and deliver strategic initiatives.

• Lead modernization efforts for legacy platforms and services, driving simplification, maintainability, and operational excellence across the ecosystem.

• Mentor and coach senior engineers, fostering technical growth, promoting engineering best practices, and raising the technical bar across the organization.

• Drive continuous improvements in developer experience, CI/CD automation, system observability, resiliency, and cloud cost optimization.

• Provide technical leadership during production incidents and critical escalations, leading root cause analysis and ensuring long-term corrective actions.

What makes you successful:

• Extensive experience architecting and delivering large-scale distributed cloud-native systems.

• Deep expertise in backend development using Python, Kotlin, and modern software engineering practices for highly available, mission-critical applications.

• Proven track record designing scalable event-driven architectures using technologies such as Pub/Sub, Kafka, or equivalent messaging and streaming platforms.

• Strong experience building data-intensive services utilizing Firestore, Cloud SQL, and other cloud-native persistence technologies.

• Expert knowledge of cloud platforms, preferably Google Cloud Platform (GCP), including security, reliability, observability, and cost optimization best practices.

• Demonstrated ability to lead technical strategy and influence architectural decisions across teams, organizations, and product areas.

• Strong experience with containerized and cloud-native deployment models, including Docker, Kubernetes, CI/CD pipelines, and Infrastructure-as-Code practices.

• Proven ability to drive adoption of AI-assisted development tools and workflows while maintaining high standards for software quality, security, and maintainability.

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