• 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.

• Identify fruitful directions for exploratory and innovative work • Lead medium- to long-term projects to translate innovative ideas into shipped products in collaboration with engineering teams • Develop high-quality Go and eBPF code for Cilium open-source and Enterprise edition codebases • Collaborate on architecture and design of distributed systems • Possibility to speak at public conferences about achievements (if desired)

• Build and maintain Joybuy's backend systems • Ensure high performance, availability, concurrency, security, and scalability • Identify and mitigate technical risks throughout project implementation • Research, adopt, and promote new technologies and methodologies • Identify integration opportunities between emerging technologies and global system architectures

• Own complex features and subsystems in industry-leading voter/donor management platforms • Combine deep technical depth with systems thinking, identifying technical debt, proposing architectural improvements, and mentoring peers across engineering and QA teams • Participate in system design decisions for complex features • Propose approaches that balance performance, maintainability, scalability, and business needs • Mentor junior and peer engineers through code reviews and design collaboration • Model best practices and drive technical excellence • Design and implement complex features for voter/donor management, third-party integrations, and AI-powered enhancements • Deliver high-quality, maintainable code that meets performance, security, and scalability standards • Proactively identify anomalies, inefficiencies, and technical gaps • Propose and champion improvements that enhance product health.