Staff SW Development Engineer

Dexcom Corporation is a global leader in continuous glucose monitoring technology aiming to improve human health through innovative biosensing technology. The Staff SW Development Engineer will contribute to building cloud-native, data-driven, and AI-augmented platform capabilities, delivering scalable backend services and infrastructure to support AI features. This role involves designing, implementing, and maintaining backend systems while ensuring regulatory compliance and high engineering standards.

Responsibilities:

• Design, build, and maintain cloud‑based backend systems—including APIs, event‑driven services, and data pipelines—using AI‑assisted development workflows to increase speed and quality
• Work across the full software lifecycle: architecture, design, implementation, automated testing, performance tuning, documentation, and verification
• Develop and integrate services with Firestore, Cloud SQL, and other GCP‑native components
• Improve engineering processes through automation, developer‑efficiency enhancements, monitoring/observability improvements, and cost‑optimization initiatives
• Participate in code reviews and champion best practices in API design, security, testing, DevOps, and cloud architecture
• Learn and maintain existing internal applications, modernizing and refactoring where appropriate
• Diagnose and resolve issues alongside QA and SRE teams across lower environments and production
• Use GitHub, CI/CD pipelines, and JIRA to manage development and releases
• Participate in on‑call rotations as required

Requirements:

• Strong programming skills in Python, Kotlin, and shell scripting
• Experience building distributed, cloud‑native backend services on GCP
• Hands‑on experience with Pub/Sub and Kafka for messaging and streaming
• Proficiency with Firestore and Cloud SQL for data persistence and querying
• Experience building and deploying services using Docker and container‑based environments
• Familiarity with automated testing frameworks and modern CI/CD pipelines
• Demonstrated ability to learn new technologies quickly—especially AI‑assisted development tools
• Ability to thrive in a fast‑moving engineering environment with shifting priorities and multiple simultaneous projects
• Typically requires a Bachelor's degree in a technical discipline, and a minimum of 8-12 years related experience or Master's degree and 5-7 years equivalent industry experience or a PhD and 2-4 years of experience