We Miracle Software Systems is looking for the Python Developer on W2/Full-time to our direct client, interested please apply No C2C/C2H Role: Python Developer Location: Dearborn, Michigan Duration: 12+Months Skills: GCP, Python, C/C++, Bash, PowerShell. Cloud:, Vertex AI, Cloud Function, BigQuery, GKE. ML/AI: LLMs, RAG, Airflow, Kubeflow. DevOps/CI/CD: Jenkins, Tekton, Terraform. Containers: Docker, Kubernetes. Skills Required: • A bachelor’s degree in computer science / computer engineering or similar technical discipline. • 3+ years of work experience as a backend software engineer in Python with exceptional software engineering knowledge. • 2+ years of experience with Cloud Engineering / Services • Experience in MLOPs and Gen AI – LLM, Development experience with building RAG and Multi Agent Application • Experience with ML workflow orchestration tools: Airflow, Kubeflow etc. • Advanced working knowledge of object-oriented/object function programming languages: Python, C/C++ • Experience in DevOps: Jenkins/Tekton etc. • Experience with cloud services, preferably GCP Services like Vertex AI, Cloud Function, BigQuery etc. • Experience in container management solution: Kubernetes, Docker • Experience in scripting language: Bash, PowerShell etc. • Experience with Infrastructure as code: Terraform etc Skills Preferred: • Master focused in Computer Science / Machine Learning or related field • Experience working with Google Cloud platform(GCP) – specifically Google Kubernetes engine, Terraform, and infrastructure • Experience in programming concepts such as Paired Programming, Test Driven Development, etc. • Knowledge of coding and software craftsmanship practices. • Must be a quick learner and open to learning new technology. • Experience applying agile practices to solution delivery. • Must be team-oriented and have excellent oral and written communication skills. • Must be a self-starter to understand existing bottlenecks and come up with innovative solutions. Experience Preferred: • Experience and good understanding of GCP, DevOPs, AI/ML and GEN AI