Description
You will build and maintain cloud infrastructure and ML-driven services.
Responsibilities
- Develop and implement services using Python, Java, or .NET for scripting and integration.
- Orchestrate containerized applications using Docker and Kubernetes.
- Design and manage CI/CD pipelines using tools like Jenkins or GitHub Actions.
- Build APIs using frameworks such as FastAPI.
- Implement Generative AI patterns using LangChain, LangGraph, and Agentic Frameworks on GCP.
Required Skills
- 5+ years of professional experience in software engineering.
- Strong proficiency in Python.
- Deep experience with Google Cloud Platform (GCP), including Vertex AI.
- Experience with containerization technologies (Docker, Kubernetes).
- Familiarity with CI/CD automation tools (Jenkins, GitHub Actions).
- Experience with backend development using Java or .NET.
- Knowledge of AI/ML concepts and frameworks.
- Experience with API development.