7 days ago
Base Salary
$117k - $194k/yr
Responsibilities
- Develop cloud-based software systems within a multidisciplinary Agile and Kanban team.
- Design, develop, and maintain end-to-end data pipelines for large-scale ingestion, transformation, and storage.
- Build backend services and APIs exposing trusted, well-modeled data to internal systems, external partners, and mobile applications.
- Collaborate with Data Engineers, AI/ML Engineers, and Platform teams to integrate AI insights into production systems.
- Ensure data platforms meet standards for reliability, performance, scalability, and data quality.
- Apply clean architecture, testability, observability, and automation practices.
- Contribute to technical designs, architecture reviews, and long-term platform roadmap decisions.
- Lead through code reviews, design mentorship, and technical guidance for junior engineers.
- Partner with Product, Security, and Operations teams to deliver compliant, secure, production-ready solutions.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Mathematics, or Engineering, or an equivalent combination of education and experience.
- Typically 5–8 years of related experience with a bachelor’s degree, 2–5 years with a master’s degree, or 0–2 years with a PhD.
- Demonstrated coding ability in a general-purpose programming language, preferably Java, Kotlin, or Scala.
- Hands-on experience building distributed systems, AI services, or data platforms.
- Understanding of data pipelines, ETL/ELT patterns, and data lifecycle management.
- Experience designing and consuming RESTful or gRPC APIs.
- Strong knowledge of 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.
Benefits
- Comprehensive benefits program.
- Global growth opportunities and access to in-house learning programs or qualified tuition reimbursement.
- Remote home-office workplace; hybrid work may be available for employees within approximately 75 miles/120 km of a Dexcom site, with a Flex workplace option.
- Travel required: 0–5%.
About Dexcom
Dexcom designs and manufactures continuous glucose monitoring (CGM) systems for people with diabetes, combining wearable sensors with transmitters, mobile apps, and cloud data services. It sells devices and disposable sensors through pharmacies, durable medical equipment channels, and healthcare providers, often covered by insurance. Founded in 1999 and headquartered in San Diego, Dexcom is a public company traded on NASDAQ (DXCM).