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 youll 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:Experience and Education Requirements:• Typically requires a bachelors 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 commuting distance of your assigned Dexcom site (typically 75 miles/120km).
Please note: The information contained herein is not intended to be an all-inclusive list of the duties and responsibilities of the job, nor are they intended to be an all-inclusive list of the skills and abilities required to do the job. Management may, at its discretion, assign or reassign duties and responsibilities to this job at any time. The duties and responsibilities in this job description may be subject to change at any time due to reasonable accommodation or other reasons. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Salary:
$68,200.00 - $113,600.00
#DexcomUS
