AIOps Engineer

We are seeking a highly skilled AIOps Engineer to lead the development, integration, and optimization of AI-driven operations platforms.

The ideal candidate will have deep expertise in AI/ML operations, infrastructure automation, and cloud-native technologies, and will play a key role in enhancing system reliability, scalability, and performance through intelligent automation.

• Design, develop, and support AI/ML operations platforms and autonomous agent frameworks.
• Integrate AI agents with diverse data sources including Elasticsearch, SQL/No
  
  SQL databases, Jira, Confluence, and Git.
• Implement and maintain CI/CD pipelines and automate infrastructure provisioning using IaC tools (Terraform, Ansible).
• Support AWS operational environments and ensure alignment with core cloud services.
• Develop scripts and automation using Python for backend development and system tasks.
• Configure and manage containerized environments using Docker and Kubernetes.
• Troubleshoot and resolve complex Dev Ops and AI-related issues.
• Collaborate with cross-functional teams to align AI systems with business goals.
• Mentor junior engineers and contribute to code reviews and knowledge sharing.
• Create and maintain SOPs, training plans, and documentation for Dev Ops and AI operations.
• Measure and improve process efficiency and effectiveness through automation.
• Ensure compliance with security policies and regulatory standards.

• Minimum 8 years of experience in AI development, MLOps, or related domains.
• Minimum 4 years of experience architecting AI solutions and environments.
• Strong proficiency in Python and scripting languages (Shell, Power Shell).
• Hands‑on experience with agentic frameworks (e.g., Lang Chain, Auto Gen).
• Experience with AWS cloud services and infrastructure automation.
• Proficiency in CI/CD tools and version control systems (Git).
• Familiarity with containerization technologies (Docker, Kubernetes).
• Strong understanding of Dev Ops tools and practices (Jenkins, Sonar Qube, Selenium, etc.).
• Experience with monitoring and dashboard tools (ELK, Splunk).
• Excellent communication and collaboration skills.

• Experience leading global teams or projects.
• Familiarity with compliance frameworks (e.g., NIST, SOC1, SOC2).
• Knowledge of Azure, Google Cloud, and hybrid cloud environments.
• Experience with open‑source contributions and plugin integrations.