Software Engineer
il y a 2 semaines
About Metreecs
Metreecs is a Y Combinator–backed AI startup transforming retail inventory management with state-of-the-art demand forecasting. Our predictive analytics platform helps retailers optimize stock levels, boost revenue, and simplify supply chains. We move fast, innovate constantly, and care deeply about turning data into actionable insights for our customers.
About the Role
As a Software Engineer Intern rounding off your studies, you'll own core services that power our forecasting platform. You'll build and maintain high-performance APIs, architect scalable and efficient database solutions, and work closely with the teams to deliver end-to-end features.
What You'll Do
- API Development: Design, implement, and optimize RESTful services using FastAPI and SQLAlchemy
- Data Modeling & Persistence: Architect and maintain schemas in PostgreSQL, ensuring scalability and data integrity
- Collaboration: Partner with data science to supply clean, reliable data feeds; collaborate with frontend on integration points
- Testing & CI/CD: Write unit and integration tests, contribute to continuous integration pipelines, and enforce best practices
- Performance Tuning: Profile and optimize database queries and backend endpoints for low latency and high throughput
We Expect You To Have
- Solid experience with PostgreSQL: schema design, indexing, query optimization
- Proven skills in Python backend frameworks, especially FastAPI
- Strong understanding of REST principles and API design
- Familiarity with version control (Git) and collaborative development workflows
- Previous experience in using Docker into a production environment
Nice to Have
- Frontend experience with React, enabling full-stack feature development
- Exposure to AWS services (e.g., EC2, RDS, Lambda, S3) and infrastructure as code
- Experience using Kubernetes
Why Join Metreecs?
- Meaningful Impact: Play a key role in building the backend that powers AI-driven retail solutions
- Cross-Functional Exposure: Work alongside AI researchers, data engineers, and product teams
- Growth & Mentorship: Learn from experienced engineers in a supportive, fast-paced startup
- Innovative Culture: Thrive in an environment that values curiosity, autonomy, and continuous learning
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