DevOps Engineer
4 months ago
Typical Day in Role:
• The role involves modernizing both development practices and tools for the existing and new platform products.
• You will be working with different teams on various technology stacks within the wealth management department to improve their current DevOps implementation.
• You will also be working closely with enterprise DevOps technology service providers on solutions and the Wealth Management team to drive a roadmap for DevOps technology and agile culture within the department. Provide support and technical governance focused on one or more projects at a single client.
• You will learn the best practices on various technologies around DevOps life cycles and implement those.
Candidate Requirements/Must Have Skills:
- 8+ years of technical experience as a developer with hands-on tech experience with MS Azure Cloud and Google Cloud Platform, including Container Orchestration, Virtual Private Cloud, IaaS, Storage, Cloud security concepts, and Relational Database Services.
- At least 3+ years of hands-on experience in using CI/CD tools including Git, Azure DevOps, Jenkins, and GitHub Enterprise for pipeline maintenance and hands-on technical experience with Bash and/or Powershell for developing automation and deployment utilities.
- 3+ years of hands-on technical experience implementing Infrastructure as Code (IaC) delivery pipelines with HashiCorp’s Terraform.
- At least 2+ years of hands-on technical experience implementing the Terratest testing framework with the GO programming language (Golang).
- 3+ years of hands-on technical experience using Configuration Management & Automation tools like Puppet, Ansible, and Chef.
- 2+ years of experience with Pega (7.x+) Environment setup on any public cloud platform.
Nice-To-Have Skills:
- Hands-on tech experience providing L3 operational support on Azure Cloud and Google Cloud Platform services.
- Experience in working in agile software development methodologies, including Scrum/Kanban.
Soft Skills Required:
• Demonstrate a proficiency in root cause analysis and problem solving in production support scenarios.
Education:
• Completion of a post-secondary education in Computer Science, Engineering or in a related technology-based stream.
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