AI DevOps Engineer

Join AlvioLabs, the creators of a cutting-edge Enterprise Agentic AI Platform that's revolutionizing how businesses accomplish real-world tasks through AI automation. We're seeking a skilled AI DevOps Engineer to manage and scale our sophisticated infrastructure supporting AI agents, containerized environments, and enterprise-grade deployments.About Alvio:Alvio is an enterprise-grade Agentic AI platform that helps businesses accomplish real-world tasks with unprecedented efficiency. Our platform combines powerful AI capabilities with browser automation, file management, web crawling, and seamless integrations - all through natural conversation interfaces.Key Responsibilities:Infrastructure & Container Management:

• Design and maintain Docker-based containerized environments for AI agent execution
• Manage multi-stage Docker builds and optimize container performance
• Implement and maintain Kubernetes clusters for production workloads
• Configure auto-scaling policies for dynamic workload management

AI/ML Infrastructure:

• Deploy and manage LLM integrations (Anthropic, OpenAI, Groq, AWS Bedrock)
• Implement monitoring for AI model performance and token usage
• Manage GPU resources and optimize inference workloads
• Set up A/B testing infrastructure for model comparisons

Cloud & Database Operations:

• Manage Supabase PostgreSQL databases with Row Level Security (RLS)
• Implement Redis caching strategies for high-performance applications
• Configure and maintain cloud infrastructure (AWS/GCP)
• Handle database migrations and backup/recovery procedures

CI/CD & Automation:

• Build and maintain GitHub Actions pipelines for automated deployments
• Implement Infrastructure as Code using Terraform/CloudFormation
• Set up monitoring and alerting systems (Prometheus, Grafana, Sentry)
• Manage secrets and environment configurations across multiple environments

Security & Compliance:

• Implement enterprise-grade security standards and compliance measures
• Configure SSL/TLS, security headers, and rate limiting
• Manage API key rotation and credential encryption
• Conduct security audits and vulnerability assessments

Required Skills & Technologies:Core DevOps:

• Docker & Docker Compose (production experience)
• Kubernetes orchestration and management
• CI/CD pipelines (GitHub Actions preferred)
• Infrastructure as Code (Terraform, CloudFormation)

Cloud Platforms:

• AWS/GCP cloud services and architecture
• Database management (PostgreSQL, Redis)
• Load balancing and auto-scaling configurations
• CDN and edge computing setup

AI/ML Infrastructure:

• Experience with LLM deployment and scaling
• GPU resource management and optimization
• Model serving frameworks and APIs
• AI observability and monitoring tools

Programming & Scripting:

• Python 3.11+ for automation scripts
• Bash/Shell scripting for system administration
• YAML/JSON for configuration management
• Basic understanding of

Monitoring & Security:

• Prometheus, Grafana, Sentry integration
• Log aggregation and analysis (ELK stack)
• Security scanning and vulnerability management
• Secrets management (Vault, AWS Secrets Manager)

Preferred Qualifications:

• Experience with AI/ML model deployment at scale
• Knowledge of FastAPI and Python web frameworks
• Familiarity with Supabase or similar BaaS platforms
• Experience with enterprise security compliance
• Background in fintech or regulated industries

What We Offer:

• Cutting-edge AI technology stack
• Professional development budget
• Health insurance and wellness benefits
• Opportunity to shape the future of AI automation

Job Types: Full-time, Permanent

Pay: ₹60, ₹100,000.00 per month

Benefits:

• Health insurance
• Internet reimbursement
• Paid sick time

Experience:

• Database management: 4 years (Preferred)
• AWS: 4 years (Preferred)
• AI: 4 years (Preferred)

Work Location: In person

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