
Enterprise Automation Specialist
5 days ago
Overview:
- Drive the development and implementation of cutting-edge automation, platform reliability, and robust software delivery pipelines using conventional practices and advanced AI/ML techniques in regulated enterprises.
Key Responsibilities:
- Design, deploy, and manage CI/CD pipelines and infrastructure automation leveraging AI for efficiency and scalability.
- Implement infrastructure as code and environment provisioning including AI-powered script and configuration generation.
- Monitor and optimize system reliability, availability, and security using AI/ML for predictive alerts and intelligent scaling.
- Establish DevSecOps best practices, compliance controls, and MLOps for ML workflows ensuring model traceability and regulatory compliance.
- Troubleshoot complex infrastructure deployment and ML model serving issues.
Core Technical & AI/ML Skills:
- Deep experience with IaC tools (Terraform, Ansible, CloudFormation), scripting (Python, Bash), and AI-enhanced automation technologies.
- Build and maintain CI/CD (Jenkins, GitLab CI, GitHub Actions, ArgoCD) pipelines for efficient and scalable software delivery.
- Cloud infrastructure (AWS, Azure, GCP), container orchestration (Kubernetes, Docker) expertise is required.
- Logging, monitoring, and observability (Prometheus, Grafana, ELK/EFK) including AI-driven log analysis and incident prediction.
- Experience supporting MLOps: deploying ML workflows ensuring model traceability and compliance.
- Use of AI assistants and workflow tools to script, manage incidents, and enforce security policies.
Soft Skills:
- 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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