Position: Mid DevOps (AWS/ GCP) Engineer for Medical AI System
Company: Brightgrove
Category: DevOps
Experience required: 3y
English level: upper

**ABOUT THE CLIENT**
Our customer envisions a world where everyone has access to the healthcare they need. In one of the biggest challenges facing the world, we pioneered a new form of artificial intelligence, combining medical knowledge with intelligent technology to empower millions of people to better understand their health. We’re proud to support medical doctors and work with leading health systems and global non-profit organizations. We’re a diversely skilled team representing 45 nationalities, and we’re growing rapidly to achieve our global ambitions for the future of health.

**PROJECT DETAILS**
We are looking for a DevOps Engineer to join our customers’ Global Service Delivery team. Your work will guide millions of users toward better health!

**YOUR TEAM**
Full-fledged end-to-end delivery team.

**WHAT’S IN FOR YOU**
-20 days per year for your recreation and health
-Long term and stable projects
-Strong experts you can collaborate with and learn from
-Smooth and respectful interviews

**RESPONSIBILITIES**
-As a DevOps Engineer, you will be responsible for extending and improving our container-based AWS / GCP infrastructure, running in Kubernetes within our Service Delivery team
-Partner with your colleagues on the Service Delivery team and across the company to embrace the idea of self-service tooling, making the best way the easiest way
-You will contribute to resilient CI/CD pipelines/processes to make sure that our engineering team is able to deploy features faster while being compliant with regulations
-You enable a high-quality and fast IT environment for services and resources for engineering and/or data teams to run their Java, Kotlin, and Python services backed by MongoDB, Redis and Postgres within Kubernetes clusters
-Extend and maintain our automated monitoring and alerting systems
-Work in highly regulated environments

**SKILLS**
-You have a strong background in automated provisioning of AWS/GCP environments (2+ years)
-You have proven experience in distributed systems debugging
-You can demonstrate a deep understanding of the intrinsic link between infrastructure and software delivery lifecycle while maintaining a system thinking view of the business
-You have experience with Kubernetes, Terraform, Docker, AWS/GCP, Jenkins
-You understand the SDLC process
-Focus on Security Engineering and InfoSec
-Our tech stack: Java, Spring Boot, Kotlin, MongoDB, Redis, Docker, Kubernetes, Node.js, Python, AWS, Google Cloud Platform and Istio
-You have expertise in agile environments (Scrum or Kanban) as well as in following principles in continuous delivery
-You are good at communication and collaboration within your team
-You are upper-intermediate in English