Design, develop, and operate scalable backend services and microservices using modern Python (3.11+).
Build high-performance, well-documented RESTful and/or async APIs (FastAPI / Flask), with attention to latency, throughput, and reliability.
Write clean, typed, reusable, and testable code, backed by automated tests (pytest) and meaningful coverage.
Design systems for high availability, horizontal scalability, and low latency; reason about failure modes, backpressure, and graceful degradation.
Integrate and serve AI/ML capabilities — model/LLM API integration, retrieval pipelines (RAG), vector search, and inference endpoints — in collaboration with Data Science.
Integrate relational, NoSQL, caching, and vector databases, plus cloud data warehouses (Snowflake) and cloud-based storage.
Instrument services for observability (structured logging, metrics, tracing) and own production troubleshooting and performance optimization.
Implement security best practices: authentication, authorization, secrets management, and data protection.
Participate in architecture discussions, design reviews, and code reviews; help define and uphold engineering standards.
Mentor junior engineers and contribute to a strong engineering culture.
Work with DevOps / Platform teams on CI/CD pipelines, infrastructure-as-code, and deployment automation.

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
5–7 years of professional software development experience.
Strong proficiency in Python, including type hints and at least one modern web/API framework (FastAPI and/or Flask).
Solid experience designing and building RESTful APIs, web services, and microservices.
Strong grasp of object-oriented and/or functional design, data structures, and software design principles.
Hands-on experience with version control (Git) and CI/CD pipelines (e.g., GitHub Actions, GitLab CI, or similar).
Experience with both relational (e.g., PostgreSQL/MySQL) and NoSQL databases, plus caching (e.g., Redis).
Good understanding of distributed systems, concurrency, and scalable application architecture.
Strong debugging, problem-solving, and analytical skills.
Excellent communication and collaboration abilities; comfortable working in a remote, distributed team.

Senior Software Engineer

Key skills