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Tier-1 brand, metro location, mid-level title, and broad cloud+AI requirements increase competition.
DevOps with AI skills are transferable across industries but demand domain experience, so medium sensitivity.
Explicit 5+ years plus mandatory AI/ML and IaC experience make filters highly stringent.
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Design and implement CI/CD pipelines, IaC frameworks, and container orchestration using AI-driven automation across cloud and on-premises environments.
Lead architecture, deployment, and management of AWS cloud infrastructure focusing on reliability, scalability, security, and cost optimization.
Drive adoption and integration of AI/ML capabilities within DevOps workflows including observability, automation, and intelligent agents for process optimization.
5+ years of experience in AI/ML engineering with expertise in agent-based systems and automation.
Strong experience automating IaC development using AI/ML tools (e.g., Terraform, Ansible, CloudFormation).
Proficiency in Python, Java, or similar languages and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Experience with cloud platforms (AWS preferred) and container technologies (Docker, Kubernetes).
Hands-on technical leader capable of guiding software and DevOps engineers with architectural assessments and code reviews.
Experienced in applying AI/ML to enhance DevOps processes including automation, monitoring, and incident response.
Comfortable working cross-functionally to identify automation opportunities and drive continuous adoption of emerging AI/ML technologies in cloud environments.