SW Development Engineer 1 at Dexcom in San Diego, CA

Job description

The Company Dexcom Corporation (NASDAQ DXCM) is a pioneer and global leader in continuous glucose monitoring (CGM). Dexcom began as a small company with a big dream: To forever change how diabetes is managed. To unlock information and insights that drive better health outcomes. Here we are 25 years later, having pioneered an industry. And we're just getting started. We are broadening our vision beyond diabetes to empower people to take control of health. That means personalized, actionable insights aimed at solving important health challenges. To continue what we've started: Improving human health. We are driven by thousands of ambitious, passionate people worldwide who are willing to fight like warriors to earn the trust of our customers by listening, serving with integrity, thinking big, and being dependable. We've already changed millions of lives and we're ready to change millions more. Our future ambition is to become a leading consumer health technology company while continuing to develop solutions for serious health conditions. We'll get there by constantly reinventing unique biosensing-technology experiences. Though we've come a long way from our small company days, our dreams are bigger than ever. The opportunity to improve health on a global scale stands before us. Meet the team: Release Engineering builds cost-efficient AI platforms for product teams and internal developers. We operate traditional ML and generative AI models at scale on GCP/GKE, automate model delivery, and manage usage across self-hosted and external providers. We partner with ML Engineering on model quality and training, and AI Engineering on application behavior. You will contribute with guidance from experienced engineers. Where you come in: You will help operate models on GKE, including vLLM serving; track cost per request and token at scale. You will maintain AI router configurations using tools such as LiteLLM for provider integration, routing, and fallbacks. You will support internal developer access, team budgets, usage limits, and cost reporting across providers such as Vertex AI and OpenAI. You will build CI/CD automation for model pipelines, registry promotion, testing, deployment, and rollback. You will maintain infrastructure as code and GitOps configurations for repeatable cloud and Kubernetes changes. You will track per-model tokens, cache hits, and resource usage; help tune caching, batching, and autoscaling to reduce cost within quality and reliability targets. You will troubleshoot serving and pipeline issues with teammates; maintain tests and runbooks. What makes you successful: You have python, Git, and automated testing skills demonstrated through projects, internships, or professional work. You have foundational knowledge of Linux, containers, Kubernetes, and GCP. You have understanding of CI/CD, infrastructure as code, and model-delivery workflows; exposure to Terraform, Pulumi, or equivalent tools is helpful. You have interest in AI usage accounting, cloud cost efficiency, and multi-provider APIs; LiteLLM or model-serving exposure is helpful. You have systematic troubleshooting, clear communication, and a willingness to learn. What you’ll get: · A front row seat to life changing CGM technology. Learn about our brave #dexcomwarriors community . · 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. · An exciting and innovative, industry-leading organization committed to our employees, customers, and the communities we serve. Travel Required: 10% Experience and Education Requirements: · Typically requires a bachelor's degree in a technical discipline, and a minimum of 0-2 years of related experience. Flex Workplace: Your primary location will be a home office. You will not have an assigned workstation and will work with your manager to determine office visit needs. You must live within commu