Sr. Devops Engineer to build Kubernates platform -19285

Job Type: Contract
Positions to fill: 1
Start Date: Apr 19, 2021
Job End Date: Nov 30, 2021
Pay Rate: Hourly: Negotiable
Job ID: 106171
Location: Toronto
Apply
Location Address: WFH (Downtown Toronto)
Contract Duration: 5 months + good chance of extension 
 
Story Behind the Need
  • Business group: This GWRT – Derivatives and Structured Product Technology department is specifically focused on derivatives technology. They look after the end to end application of there in house-built trading platform.
  • Project: The K2 (in house platform) is being replaced derivatives platform existing being replaced, K2 new one is PXV – moving forward with Phase 5 of implementation • Reason for request: Workload
 
Candidate Value Proposition
  • The successful candidate will have an opportunity to leverage new technology they continue to develop systems to support our Global Capital Markets businesses worldwide.
  • The Derivatives Technology team is leading the way in developing modern systems to support our Global Capital Markets businesses worldwide. We are looking for creative, self-starting, results-oriented, highly motivated individual with attention to details and excellent problem-solving skills. The incumbent need to be able to multi-task and work in a fast paced and agile environment
 
Typical Day in the Role:
  • Development and support of a front-office trading system used for trade booking, trade execution and pricing of derivatives trades.
  • Conduct proof of concept on new technologies or solutions around DevOps deployment practices.
 Must Have Skills:
  •  4+ years of DevOps experience (preferably Kubernates)
  •  4+ years of experience with Docker and Container Orchestration.
  •  Proficiency in using Git, Ansible, Kubernates, Docker
  •  Has Worked in an Agile Environment.

Nice to have Skills:
  • Experience with REST, Microservices Architecture, Event Driven Architecture • Experience with ElasticSearch, Kibana, Grafana, Prometheus, Logstash, Ansible, Docker.
  • Understanding of cloud-based deployment