Kubernetes Platform Engineer with AI Integration

Responsibilities

• Develop value-add services which integrate with the existing DevOps stack
• Develop CICD pipelines using GitHub Actions, TypeScript, Python, Groovy and Jenkins
• Coach application teams on how to leverage DevOps offerings
• Champion developer-experience and best practices in conjunction with DevOps to ensure no developer is left behind
• Participate in new tool adoption, POC process and provide recommendations
• Evolve DevOps services beyond current state for application teams

Requirements

• An engineer mindset, SDLC experience with production class delivery, strong analytical mindset, communication skills, and sense of ownership / drive
• 3+ years of development experience in one of the following languages: Java, Python, Javascript/TypeScript, C#, C/C++, Python
• Experience with application and system design patterns
• Experience with Docker or Kubernetes
• Experience with Agile methodologies, ie SCRUM

Nice-to-have

• Experience with Elastic Search and Kibana
• Experience using DevOps CICD tools such as GitHub, GitHub Actions, Jenkins, Urban Code Deploy
• Experience with a public cloud technology, i.e. Azure, AWS
• Experience building or supporting distributed applications