Senior DevOps Engineer

• *Role Overview**
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We are seeking a high\-caliber **Senior DevOps Advisor / Engineer** to join our AI\-driven cloud optimization platform team. In this role, you will not only architect and manage enterprise\-scale cloud environments but also serve as a critical "Human\-in\-the\-loop" advisor. You will collaborate with sophisticated Agentic AI systems to analyze infrastructure, validate automated recommendations, and drive global cloud cost optimization strategies.

This is a unique opportunity for a seasoned DevOps professional to lead at the intersection of Cloud Engineering, FinOps, and Artificial Intelligence.**Key Responsibilities**

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• **AI Advisory \& Validation:** Act as a senior advisor supervising AI\-driven infrastructure insights. Critically analyze and validate AI\-generated recommendations for cloud architecture, security, and cost.
• **Agentic AI Integration:** Implement and optimize the use of **Agentic AI tools (Claude, GitHub Copilot, Codex)** within the DevOps lifecycle to automate IaC generation, documentation, and troubleshooting.
• **Cloud Optimization \& FinOps:** Lead enterprise\-wide cost analysis and optimization initiatives. Utilize tools like AWS Cost Explorer and Azure Cost Management to implement rightsizing, autoscaling, and waste reduction strategies.
• **Infrastructure as Code (IaC):** Architect and maintain scalable, secure, and resilient infrastructure using Terraform, CloudFormation, or Ansible.
• **AIOps Leadership:** Improve AI decision\-making systems through continuous feedback, tuning, and rigorous technical validation.
• **Stakeholder Communication:** Translate complex technical insights and AI\-driven recommendations into business\-friendly advisory reports for executive stakeholders.

• *Required Technical Skills**
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• **Experience:** 8\-15 years in DevOps, SRE, or Cloud Engineering roles (Consulting/Advisory experience is a strong plus).
• **Cloud Platforms:** Expert\-level proficiency in **AWS**, **Azure**, or **GCP**.
• **Agentic AI Proficiency:** Hands\-on experience using **Claude 3\.5/Opus**, **GitHub Copilot**, and **Codex** to enhance engineering productivity and automate complex tasks.
• **Containerization:** Mastery of Kubernetes (EKS/AKS/GKE), Docker, and Helm.
• **CI/CD:** Deep experience designing end\-to\-end CI/CD pipelines (Jenkins, GitLab, GitHub Actions).
• **Cost Management Tools:** Advanced knowledge of FinOps practices and cloud billing analysis tools.
• **Security:** Strong understanding of cloud security best practices, compliance frameworks, and automated security gating.

• *Key Traits for Success**
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• **Critical Thinking:** The ability to challenge AI\-generated outputs and ensure they meet enterprise security and reliability standards.
• **Analytical Mindset:** Expert at interpreting data\-driven insights to make strategic infrastructure decisions.
• **Adaptability:** Passion for staying at the forefront of AI\-assisted operations (AIOps) and emerging DevOps technologies.

• *Ideal Candidate Summary**
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The ideal candidate is a Senior DevOps Engineer (8–15 years) who has transitioned into a strategic advisory role. You should be as comfortable writing complex Terraform modules as you are evaluating the reliability of an AI agent's infrastructure tuning recommendations. You must have a proven track record in cloud cost optimization and a forward\-thinking approach to integrating AI into the modern DevOps toolkit.**Education \& Certifications**

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• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• **Preferred:** AWS Certified Solutions Architect – Professional, Certified Kubernetes Administrator (CKA), and FinOps Certified Practitioner.