Sr SW Development Engineer

Dexcom Corporation is a pioneer and global leader in continuous glucose monitoring (CGM). The Sr SW Development Engineer will work closely with Data and AI Platform Engineers to design, build, and scale end-to-end data pipelines, delivering reliable data for both internal and external stakeholders while enabling AI-driven insights.

Responsibilities:

• Develop cloud-based software systems as part of a multi-disciplinary team that works with in an Agile & Kanban methodology environment
• Design, develop, and maintain end‑to‑end data pipelines supporting large‑scale data ingestion, transformation, and storage
• Build and evolve backend services and APIs that expose trusted, well‑modeled data to internal systems, external partners, and mobile applications
• Collaborate closely with Data Engineers, AI/ML Engineers, and Platform teams to integrate AI insights into production systems
• Ensure data platforms meet high standards for reliability, performance, scalability, and data quality
• Apply strong software engineering principles including clean architecture, testability, observability, and automation
• Contribute to technical design discussions, architecture reviews, and long‑term platform roadmap decisions
• Lead by example through code reviews, design mentorship, and technical guidance for junior engineers
• Partner with product, security, and operations teams to deliver compliant, secure, and production‑ready solutions

Requirements:

• Bachelor's degree in Computer Science, Information Systems, Mathematics or Engineering from an accredited academic university, or an equivalent combination of education and experience
• Demonstrated experience and ability to coding in a general purpose programming language (Prefer Java/Kotlin/Scala)
• Hands‑on experience building distributed systems, AI services, or data platforms
• Solid understanding of data pipelines, ETL/ELT patterns, and data lifecycle management
• Experience designing and consuming RESTful or gRPC APIs
• Strong knowledge of cloud platforms (AWS, Azure, or GCP) and cloud‑native services
• Experience with CI/CD pipelines, version control, and automated testing
• Experience using AI development tools such as Claude code
• Typically requires a Bachelor's degree in a technical discipline, and a minimum of 5- 8 years related experience or Master's degree and 2-5 years equivalent industry experience or a PhD and 0-2 years experience