TechBiz Global is seeking a Senior Software Engineer for a 3-month project to work with a top client on developing scalable, multidisciplinary applications for data representation within SoC environments. The role involves building and maintaining databases, knowledge graphs, RAG pipelines, and deploying solutions on cloud platforms using containerization and CI/CD automation.
Key Responsibilities:
- Design and develop scalable, multidisciplinary applications for data representation within SoC environments
- Build and maintain databases, knowledge graphs, and RAG pipelines
- Deploy and manage solutions on cloud platforms (Azure, AWS, or GCP) using containerization (Docker)
- Develop and maintain CI/CD pipelines with automated regression testing
- Write tests and benchmarks to ensure system performance, reliability, and quality
- Apply best practices for code quality, data handling, and access control
- Support R&D teams in creating and managing databases and knowledge graphs
- Support R&D teams in ingesting and processing various data sources
- Collaborate on improving development workflows using coding assistants and AI agents
Required Qualifications:
- Strong experience in Python programming
- Proven track record in designing scalable applications
- Hands-on experience with cloud platforms (Azure, AWS, or GCP)
- Experience in data engineering, including building knowledge graphs / ontologies
- Solid understanding of databases (SQL/NoSQL)
- Experience with CI/CD pipelines and automation
- Strong background in software testing (unit, integration, regression)
- Experience with Docker and cloud-based deployments
- Familiarity with RAG pipelines and modern data processing approaches
Preferred Qualifications:
- Experience using AI coding assistants / agents is a plus
- Experience working in SoC or hardware-related environments
- Exposure to large-scale data systems or AI-driven applications
- Knowledge of data security and access control best practices
Technical Stack: Python, Azure, AWS, GCP, Docker, CI/CD, RAG pipelines, knowledge graphs, ontologies, SQL, NoSQL, data engineering, automated regression testing, containerization, cloud platforms.
