Cloud Infrastructure & DevOps Engineering (AWS/MLOps)
"Architecting resilient, automated cloud ecosystems for high-performance ML workloads."
Commitment Period
6 Months
Work Protocol
Hybrid
Geo Location
Bangalore, India
Architectural Roadmap
A production-ready, auto-scaling inference API utilizing AWS Lambda and API Gateway. The entire stack will be provisioned via Terraform, containerized with Docker, and deployed through a multi-stage GitHub Actions CI/CD pipeline featuring automated canary testing and CloudWatch monitoring.
Mastering Terraform for declarative multi-environment infrastructure provisioning
Implementing serverless deployment patterns for low-latency ML inference
Designing robust CI/CD pipelines with automated security scanning and unit testing
Configuring advanced observability stacks using CloudWatch and X-Ray for distributed tracing
Optimizing cloud costs through effective resource tagging and auto-scaling policies
Personnel Eligibility
Final year B.Tech/M.Tech in Computer Science or related field. Strong understanding of networking (VPC, Subnets, DNS) and proficiency in at least one scripting language (Python/Bash) is mandatory.
Compensation Matrix
Industrial Standard
Competitive monthly stipend with additional performance-based bonuses upon successful project delivery.
Personnel Guide
Raghavendra N
Founder & CEO
"Raghavendra N is the visionary architect behind CodeOrigin.ai, specializing in the intersection of Generative AI and enterprise-scale infrastructure. With over 15 years of experience leading digital transformation initiatives for global enterprises, he has a proven track record of deploying robust LLM frameworks and high-concurrency distributed systems. His expertise spans the full lifecycle of AI integration—from strategic feasibility studies to production-grade RAG (Retrieval-Augmented Generation) architectures using AWS and Azure. Under his leadership, CodeOrigin.ai delivers high-performance, secure, and scalable technology solutions that drive measurable ROI through intelligent data orchestration and cloud-native engineering."
Initialize Your
Professional Track
Elite mentorship and production-grade system development orchestrated in every technical node.