LVIS-posted about 13 hours ago
Full-time • Senior
Palo Alto, CA
11-50 employees

LVIS is a leader in cutting-edge neural information analysis technologies that can decode brain networks and find cures for neurological diseases. LVIS owns patented technologies and our team includes leaders with strong expertise in neuroscience and engineering from Stanford University. LVIS has been selected to be a member of the Stanford StartX community and the NVIDIA inception program. We have an international team with our headquarter located in Palo Alto, California, USA and we have an office in Gangnam, Seoul, South Korea. We are looking for talented individuals to join us in transforming the neurology health care industry. The LVIS is looking for a senior DevOps engineer who is responsible for commercial cloud-based big-data-driven medical analysis software in the cloud and management for continuously scaling services. A successful candidate would have a background in both software development and systems, familiarity with AWS and Linux servers, and a drive for automation, configuration as data, and enabling rapid development iterations.

  • Provision, configure, and manage scalable, highly available cloud infrastructure on AWS using Infrastructure as Code (IaC)
  • Application and Resource Management on Kubernetes environment utilizing multi-cluster EKS.
  • Setting up CI/CD pipelines for application testing, releasing and deployment with GitOps practices (preferred Teamcity m Jenkins and ArgoCD or FluxCD)
  • Site Reliability engineering practices with Monitoring and Logging. Detecting and Alerting incidents using Observability stacks (ELK is preferred).
  • Cost Analyze and optimization on AWS for a scalable applications and databases
  • Integrate security best practices (DevSecOps) working closely with Regulation Team
  • Designing automated test environments with QA Teams and creating automated reports and dashboards
  • Designing for backup systems and operation experience
  • Developing and Managing deployment strategies
  • Strong understanding of software development methodologies, agile practices, and the software development lifecycle.
  • A passion for continuous learning and keeping up-to-date with the latest trends and technologies in DevOps and software engineering.
  • 7+ years DevOps/Software Engineer
  • IaC/Config: Terraform, Ansible, Terragrunt, Kustomize, Helm
  • CI/CD Tools: Experience one of CI tools eg. Jenkins, GitLab CI, GitHub Actions, and CD tools eg. ArgoCD, FluxCD
  • Containers and container orchestration platforms (Docker/Kubernetes)
  • Cloud Platforms: Advanced knowledge of AWS
  • Monitoring: Prometheus, Grafana, ELK Stack.
  • Security configuration of AWS system
  • Database management knowledge (SQL, NO-SQL)
  • AWS Solution Architect Certification (Associate/Professional)
  • AWS Certified DevOps Engineer
  • Certified Kubernetes Administration
  • Certified Kubernetes Security Specialist
  • Familiar with Agile Development Practices
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