🚀 Hiring: Senior SRE & DevSecOps Engineer (Cloud & AI/ML)
📍 Location: Pan India (Hybrid )
🧑💻 Experience: 8+ Years
💼 Employment Type: Full-time
🔍 About the Role
We are looking for a Senior SRE & DevSecOps Engineer with strong expertise in Cloud & AI/ML platforms to design, build, and secure highly scalable and reliable systems.
This role sits at the intersection of SRE, Security, and MLOps, ensuring our AI-driven platforms are secure, resilient, and production-ready.
💡 Key Responsibilities
⚙️ Site Reliability Engineering
Build and manage highly available & scalable systems
Define and monitor SLIs, SLOs, SLAs
Lead incident management & post-mortems
Enhance observability (monitoring, logging, tracing)
Implement automation & self-healing infrastructure
🔐 DevSecOps & Security
Integrate SAST, DAST, SCA, container scanning, secrets management into CI/CD
Implement IAM, RBAC, zero-trust architecture
Ensure compliance with SOC2, ISO 27001, GDPR, HIPAA, PCI-DSS
Conduct security audits & vulnerability management
🤖 AI/ML Security & MLOps
Secure AI models, APIs, and training pipelines
Implement prompt injection protection & data privacy controls
Manage LLM infrastructure & vector databases
Monitor model performance, drift & retraining pipelines
☁️ Cloud & Infrastructure
Design cloud infrastructure on AWS / GCP / Azure
Use IaC tools: Terraform, Pulumi, CloudFormation
Manage Kubernetes (EKS/GKE/AKS) environments
Build CI/CD pipelines using GitHub Actions, Jenkins, ArgoCD
🛠️ Required Skills
Strong experience in Cloud & AI/ML platforms
Hands-on with Kubernetes, Docker, Terraform
Security tools: SAST, DAST, SCA, container scanning
Experience with secrets management & compliance frameworks
Programming: Python (must-have), Go/Bash
Exposure to MLOps & AI infrastructure
🎯 Preferred
Experience with LLM platforms & vector databases
Knowledge of GPU workloads & distributed training
Certifications (AWS / Kubernetes / ML)
📩 Interested?
Drop your resume [Upgrade to PRO to see contact]
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