AI Platform DevSecOps Engineer
- Location
- Bangalore, Karnataka, India
- Salary
- Not specified
- Company
- Akash pawar
Job description
Role & Company / Project Overview: Gadiya Infosystems is hiring experienced AI Platform DevSecOps Engineers to build and deploy AI/ML models and LLM platforms into production environments. This is a specialized role focused on production AI/ML platforms, not a regular DevOps position. Two immediate openings are available. Key Responsibilities & Daily Duties: • Build and manage CI/CD pipelines for production AI/ML model releases and LLM platforms. • Provision and manage Kubernetes GPU resources utilizing NVIDIA device plugin, node selectors, and resource limits. • Deploy, automate, and manage infrastructure using Terraform or Pulumi across multiple cloud providers. • Deploy Red Hat OpenShift operators in on-premises environments. • Implement DevSecOps practices and security tooling across the AI platform lifecycle. • Perform Linux systems administration, system configuration, and Bash / Python scripting. Required Qualifications, Skills & Experience: • 4+ years of total experience in DevOps, including at least 2+ years specifically in AI/ML platforms. • Proven hands-on experience building CI/CD pipelines for production AI/ML and LLM deployments. • Multi-cloud infrastructure as code experience with Terraform or Pulumi across at least 2 cloud providers (AWS/Azure/GCP). • Strong Kubernetes GPU provisioning experience, including NVIDIA device plugin, node selectors, and resource limits. • Hands-on experience with DevSecOps security tools such as Trivy, Checkov, HashiCorp Vault, OPA (Open Policy Agent), or equivalent. • Strong background in Linux environments with proficient Bash and Python scripting capabilities. • Hands-on experience with Red Hat OpenShift operator deployment in on-premises environments. • Good to have: Knowledge of ArgoCD, Flux, Helm, NVIDIA MIG partitioning, and GPU cost optimisation. • Only candidates with actual hands-on AI/ML platform DevSecOps experience will be considered. Working Hours, Shifts & Location Details: • Location: Bangalore, Karnataka, India • Work Mode: As per company policy • Open Positions: 2 openings Compensation & Benefits: • Budget: Open for the right candidate based on experience and skillset Application Instructions: • Interested candidates should share their updated resume with mandatory details (Total Exp, Relevant DevOps Exp, AI/ML Platform Exp, LLM/ML Production Deployment Exp, Cloud Exp, Terraform/Pulumi, Kubernetes/GPU, OpenShift, DevSecOps Tools, Current/Expected CTC, Notice Period, Current Location, and LinkedIn Profile).