Full Stack Engineer

Full-stack Engineer

JOB DESCRIPTION:

Key Responsibilities:

• Architect & Developer:
Design high-performance, scalable backend services using Python Stack and have a 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.

Required Qualifications:

•

Experience:

3 to 5 years of professional experience in backend development.

• Python Staks:
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 Git Hub Actions and workflows for CI/CD.

Strong problem-solving and analytical skills.