Global Enterprise Automation Expert

5 days ago

Kottayam, Kerala, India beBeeAutomation Full time ₹ 15,00,000 - ₹ 25,00,000
Job Description

We are seeking a seasoned Automation Expert to drive efficiency and reliability in our global enterprise environment.

This is an exceptional opportunity for a highly skilled professional to leverage their expertise in automation, platform reliability, and software delivery pipelines using conventional practices and advanced AI/ML techniques.

Key Responsibilities
  • Critical Infrastructure Design: Develop and manage CI/CD pipelines and infrastructure automation leveraging AI for efficiency.
  • Infrastructure as Code: Implement infrastructure as code and environment provisioning including AI-powered script and configuration generation.
  • Reliability and Security: Monitor and optimize system reliability, availability, and security using AI/ML for predictive alerts and intelligent scaling.
  • DevSecOps and MLOps: Establish DevSecOps best practices, compliance controls, and MLOps (CI/CD for ML workflows).
  • Troubleshooting: Troubleshoot complex infrastructure, deployment, and ML model serving issues.
Required Skills and Qualifications
  • IaC Tools: Deep experience with IaC tools (Terraform, Ansible, CloudFormation), scripting (Python, Bash), and AI-enhanced automation.
  • CI/CD Tools: Build and maintain CI/CD (Jenkins, GitLab CI, GitHub Actions, ArgoCD).
  • Cloud Infrastructure: Cloud infrastructure (AWS, Azure, GCP), container orchestration (Kubernetes, Docker).
  • Logging and Observability: Logging, monitoring, and observability (Prometheus, Grafana, ELK/EFK), including AI-driven log analysis and incident prediction.
  • MLOps Experience: Experience supporting MLOps: deploying ML workflows, ensuring model traceability and compliance.
  • AI-Assisted Workflow Tools: Use of AI assistants and workflow tools to script, manage incidents, and enforce security policies (OPA, Sentinel).
Benefits
  • Opportunity to work on cutting-edge technologies and projects.
  • Collaborative and dynamic work environment.
  • Ongoing training and development opportunities.
Others
  • Influential role in driving DevOps culture change.
  • Strong communication skills across development, security, and business teams.
  • Mentorship and process rigor, open-minded to AI-driven productivity improvements.
  • High accountability, initiative, and a proactive approach to emerging technologies.

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