DevOps/Platform Engineer

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 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, 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.