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 enterprises.
Key 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 issues.
Core 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 loganalysis and incident prediction.Experience supporting MLOps : deploying ML workflows, ensuring model traceability andcompliance.Use of AI assistants and workflow tools to script, manage incidents, and enforce security policies(OPA, Sentinel).Soft 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.