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.