Senior DevOps Engineer (with AI/GenAI Skills)

About

We are looking for a Senior DevOps Engineer with AI/GenAI exposure to help accelerate AI capabilities within DevOps processes. This role requires a hands-on engineer who can work on CI/CD, cloud infrastructure, and Kubernetes, while also exploring and integrating AI-driven solutions into development and deployment workflows.

The ideal candidate should have a curious and innovative mindset, with the ability to bring ideas on how to improve systems using AI tools, agents, and modern engineering practices.

Key Responsibilities

• Build, maintain, and optimize CI/CD pipelines using Jenkins and Groovy
• Manage and deploy infrastructure using Terraform and AWS
• Work with Kubernetes to deploy and manage applications in production
• Integrate AI/GenAI capabilities into DevOps workflows (CI/CD, testing, deployment)
• Develop and experiment with AI agents, MCPs, and automation solutions
• Support Git-based workflows and modern DevOps practices
• Implement GitOps tools like ArgoCD or Flux
• Improve deployment strategies using feature flags and progressive delivery
• Collaborate with teams to enhance developer platforms and automation
• Identify and mitigate AI-related risks such as data leakage, bias, and hallucinations

Required Skills

DevOps & Cloud

• Strong experience with Jenkins and CI/CD pipelines
• Hands-on experience with Groovy scripting
• Experience with Terraform and Infrastructure as Code
• Strong knowledge of Kubernetes (production environment)
• Experience with AWS cloud services
• Familiarity with Git, GitOps (ArgoCD/Flux)
• Understanding of modern DevOps and deployment strategies

AI / GenAI Exposure

• Experience or strong interest in Generative AI (LLMs, agents, copilots)
• Basic understanding of prompt engineering and context design
• Exposure to agent-based architectures and AI integrations
• Experience integrating AI into CI/CD or automation workflows