Core Responsibilities :

Technical Execution and Architectural Oversight :

- Feature Ownership : Lead the full lifecycle of feature development, from conceptual technical design and schema definition to deployment and production monitoring.

- Backend Development : Engineer high-performance, secure, and maintainable services using Python and modern frameworks (e.g., FastAPI, Django, or Flask).

- Data Strategy : Architect and optimize complex relational schemas within PostgreSQL and manage large-scale analytical workloads using StarRocks.

- Database Governance : Oversee systematic database versioning and seamless schema evolution utilizing Alembic migrations.

Collaboration and Integration :

- Cross-Functional Synergy : Act as the primary technical liaison to the Product Team, translating business requirements into robust technical specifications and providing rigorous effort estimations.

- Front-end Alignment : Partner closely with frontend development teams to design and implement optimized API contracts, ensuring a high-performance user experience.

- Technical Communication : Articulate complex architectural decisions and trade-offs to both technical and non-technical stakeholders with clarity and precision.

Engineering Excellence and Mentorship :

- Quality Assurance : Establish and enforce rigorous engineering standards through comprehensive code reviews, automated testing frameworks, and continuous integration protocols.

- Team Development : Foster a culture of technical excellence by mentoring engineering staff, promoting professional growth, and facilitating knowledge-sharing sessions.

- Performance Optimization : Continuously identify and resolve bottlenecks in application logic, database queries, and infrastructure configurations.

Technical Qualifications :

- Professional Experience : A minimum of 8+ years in software engineering, with a proven track record of leading technical execution in a Senior or Lead capacity.

- Python Expertise : Deep mastery of Python and its asynchronous ecosystem.

- Advanced Data Systems : Extensive experience with PostgreSQL, including performance tuning, indexing strategies, and complex query optimization.

- Demonstrated proficiency with StarRocks (or equivalent OLAP databases) for high-performance analytical processing.

- Expert-level command of Alembic for managing sophisticated database migration lifecycles.

- API Architecture : Proven ability to design and scale RESTful APIs within a microservices environment.

- Infrastructure : Familiarity with containerization (Docker, Kubernetes) and modern CI/CD orchestration.

Skan AI is an equal opportunity employer committed to building a diverse, inclusive, and respectful workplace around the world.

We do not discriminate based on race, color, religion or belief, sex (including pregnancy, sexual orientation, gender identity, or gender expression), national origin, ancestry, age, disability, medical condition, genetic information, marital or family status, military or veteran status, or any other characteristic protected by applicable laws in the locations where we operate.

We welcome people from all backgrounds and provide reasonable accommodations throughout the hiring process.