Key Responsibilities:
- Architect & Develop: Design high-performance, scalable backend services using Python Stack and have good understanding of Java 17+ and Spring Boot for migration projects.
- Data Integration: Build and maintain complex data pipelines and integration layers connecting our services to Databricks.
- Security First: Implement rigorous authentication and authorization patterns using OAuth2, OIDC in Python.
- AI Tooling: Develop backend frameworks that enable Agentic AI-creating tools, APIs, and "skills" that LLM-based agents can autonomously invoke.
- Data Persistence: Optimize database interactions and schema designs using Python packages and can understand existing flows of Spring Data JPA/Hibernate.
- Hybrid Engineering: Use Python as primary language and support, convert legacy Java code into Python.
If you would like to learn more, please reach out to Elite Technical.
Required Qualifications:
- Experience: 3 to 5 years of professional experience in backend development.
- Python Stack: Good hands-on experience with Python Stack for building backends, APIs or ingestion and data processing layer on Databricks.
- The Spring Stack: Good experience of Spring Boot, Spring JPA, and Spring Security.
- Modern Java: Deep understanding of functional programming in Java, multithreading, and JVM tuning to support existing code or migrate to Python.
- Cloud Data Warehousing: Hands-on experience with Databricks.
- The AI Edge: Proven exposure to or a deep project-based understanding of working with AI to code using existing Archetypes and rules with all guardrails
- CI/CD - Working with GitHub Actions and workflows for CI/CD.
- Strong problem-solving and analytical skills.
only genuine profile
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