Cloud DevOps Engineer
Core
Build and maintain scalable, secure cloud infrastructure and deployment pipelines, integrating agentic AI frameworks and LLM fine-tuning to support digital solutions.
Role type
Cloud DevOps Engineer with AI/ML integration
Builds
High-quality infrastructure solutions, automated CI/CD pipelines, and secure cloud platforms
Domain
Cloud Computing, DevOps, Artificial Intelligence, Machine Learning
Deliverable
production ML models | infrastructure
Required skills
Kubernetes, Docker, AWS, Openshift, Python, PyTorch, TensorFlow, Hugging Face, Agent Development Kits (ADK), LangChain, AutoGPT, CrewAI, Terraform, Cloud Formation, AWS APIs, AWS CLI, AWS SDKs, CI/CD, Bash scripting, Linux OS
Preferred skills
Parameter-efficient fine-tuning (LoRA, QLoRA, Adapter layers, Prefix tuning), model quantization, pruning, optimization, vector databases, embeddings, retrieval systems
Technologies
Kubernetes, Docker, AWS, Openshift, PyTorch, TensorFlow, Hugging Face, LangChain, AutoGPT, CrewAI, Terraform, Cloud Formation
Responsibilities
Develop, deliver, and maintain high-quality infrastructure solutions; Monitor IT infrastructure and system performance to resolve issues; Develop and implement automated tasks and processes; Implement secure configurations to protect against cyber-attacks; Collaborate cross-functionally to define IT Infrastructure requirements and ensure alignment with business objectives.
Seniority
Individual Contributor, hands-on technical execution
