Overview :
Hiring a seasoned DevOps / Platform Engineer to drive automation, platform reliability, and robust software delivery pipelines using both conventional practices and advanced AI / ML techniques in global, regulated Responsibilities :
- Design, deploy, and manage CI / CD pipelines and infrastructure automation, leveraging AI for efficiency.
- 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 (CI / CD for ML workflows).
- Troubleshoot complex infrastructure, deployment, and ML model serving Technical & AI / ML Skills :
- Deep experience with IaC tools (Terraform, Ansible, CloudFormation), scripting (Python, Bash), and AI-enhanced automation.
- Build and maintain CI / CD (Jenkins, GitLab CI, GitHub Actions, ArgoCD).
- Cloud infrastructure (AWS, Azure, GCP), container orchestration (Kubernetes, Docker).
- 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 (OPA, Skills :
- Influential in driving DevOps culture change.
- Strong communicator 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.
(ref : hirist.tech)