Previous Job
Docker/Kubernetes Consultant
Ref No.: 17-03480
Location: Portland, Oregon
Start Date / End Date: 01/02/2018 to 06/01/2018
Client is looking a strong articulate consultant who can work as an SME and be hands on to make sure the client is using best practices with Docker, Kubernetes.
The preference is a USC or GC Holder given the length of time for the project. This person will need to be presented with End Client references(no implementation partners) which will be checked prior to interview. I do not have a rate, please provide your best candidate/rate knowing this is very long term.
  • Location: Colorado or Portland OR or Fremont CA
  • Engagement duration: 6-12 year with options to extend
  • Onsite is preference M-F
  • Start Date: Jan 2018
Qualifications - Requirements
  • BS/MS in Computer Science, Information Systems, or equivalent
  • 2+ years of experience supporting mission critical production applications
  • 2+ years of experience supporting containers Dockers applications
  • 2+ years of experience in Docker, Kubernetes
  • Understanding of Docker or evolving container management platforms like Kubernetes
  • Experience with building, deploying and scaling out SaaS/Cloud applications
  • Strong scripting skills – Bash, Java, Shell
  • Experience with maintaining applications in a Linux and Windows environment
  • Experience with Database Administration, schema design, query analysis, performance tuning, and optimization – Postgres/MySQL/Oracle
  • Knowledge of IP Networking, Network security, Firewalls and DDOS mitigation
  • Experience with continuous integration using Jenkins, log collection, and analysis, version control systems like GitHub or SVN
  • Experience with application, performance and security monitoring and resolution
  • Understand and use latest technology trends such as serverless, containers, micro services etc.
  • Migrating monolithic applications to micro services architectures
  • Advising and implementing Cloud Native app development best practices
  • Knowledge of data engineering and some experience with big data