Sr SW Development Engineer

Dexcom • San Diego, CA

1d • $116,600 - $194,400 • Remote

About The Position

In this role, you will work closely with Data and AI Platform Engineers to design, build, and scale end‑to‑end data pipelines that power data ingestion, processing, storage, and APIs. These platforms deliver reliable, clean, and meaningful data to both internal and external stakeholders, while also enabling AI‑driven insights for consumer and enterprise mobile applications. At Dexcom, you can use your software engineering skills for the greater good. We develop software for medical devices and systems. Our software quality standards conform to the rigorous requirements of regulatory agencies such as ISO and FDA. If you enjoy connecting the dots, using data-driven engineering decisions, innovating through the server side of our entire platform stack, you’ll enjoy this job.

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.

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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior