Juniper Square - Senior Technical Lead

• 9.5-12 years of backend engineering experience with strong production ownership • Deep expertise in Python/Java and modern API frameworks (FastAPI preferred) • Proven experience designing and scaling public-facing APIs • Strong system design expertise (distributed systems, scalability, fault tolerance) • Extensive experience with PostgreSQL (performance tuning, indexing, transactions) • Strong experience with Celery or distributed task processing systems • Hands-on experience with Redis and caching strategies • Advanced experience with AWS (ECS/EKS, RDS, Lambda, S3, API Gateway, networking) • Experience implementing secure API architectures (OAuth2, JWT, RBAC, WAF) • Experience with Docker, CI/CD pipelines, and Infrastructure as Code • Experience operating high-traffic, production-critical systems • Experience designing multi-tenant or external partner APIs • Strong Differentiators and AI Experience • Experience leading backend teams in a product-driven environment • Experience designing API platforms consumed by third parties • Frontend exposure (React / Next.js / TypeScript) • Experience building developer platforms or SDKs • Ability to critically evaluate AI-generated code and outputs, including identifying failure modes, regressions, and edge cases introduced by AI-assisted development • Experience building and shipping production-grade software using AI-assisted workflows across the full SDLC • Hands-on experience developing or integrating LLM-powered systems (e.g., agents, copilots, tool-using workflows, or multi-step reasoning systems) • Familiarity with patterns such as tool-calling agents, planning/execution loops, and retrieval-augmented generation (RAG) • Demonstrated ability to leverage modern AI tools to improve development velocity, code quality, and problem-solving • Experience contributing to AI-powered features (e.g., intelligent search, conversational interfaces, recommendations, automation) • Working knowledge of LLMs, embeddings, semantic search, and RAG pipelines • Ability to identify and evaluate opportunities to integrate AI capabilities into products and workflows