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Dexcom

Staff Software Development Engineer

Dexcom

Staff SW Development Engineer at Dexcom developing cloud-native, data-driven, AI-augmented platform capabilities. Collaborating with AI Platform Engineers on scalable backend services, APIs, and infrastructure.

Posted 7/7/2026full-timeRemote • California • 🇺🇸 United StatesLead💰 $135,100 - $225,100 per yearWebsite

Tech Stack

Tools & technologies
CloudDockerGoogle Cloud PlatformKafkaKotlinPythonShell ScriptingSQL

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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.

Benefits

Comp & perks
  • A full and comprehensive benefits program.
  • Growth opportunities on a global scale.
  • Access to career development through in-house learning programs and/or qualified tuition reimbursement.

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Hard Skills & Tools
PythonKotlinShell ScriptingCloud SQLFirestorePub/SubKafkaDockerCI/CD PipelinesAPI Design
Soft Skills
AdaptabilityProblem-SolvingCollaboration