Senior Backend Engineer (Python/AWS)

**Senior Backend Engineer – Python (AWS, Distributed Systems)** **Location:** Remote – Brazil, Colombia, Argentina, Chile, Peru, Mexico, Ireland, or USA **Compensation:** $35–$55 USD/hour, based on seniority and location **Type:** Full\-Time Contract **About the Company** --------------------- They are building an advanced agentic call center platform that powers real customer conversations and automates workflows across industries. Their system orchestrates AI\-driven conversations using Voice and Text models across multiple communication channels. The backend integrates multiple vendors for LLM response generation, speech\-to\-text, text\-to\-speech, telecom providers, and CRM systems. They operate with high ownership, fast execution, and a strong bias toward shipping reliable systems. **The Opportunity** ------------------- They are looking for a Senior Backend Engineer with strong ownership and distributed systems experience to design, build, and evolve backend services that support real\-time, high\-throughput workloads (telephony \+ AI inference \+ integrations). Python is the primary language. They are also expanding their use of TypeScript and value engineers comfortable contributing in both. You will work within their AWS containerized stack (ECS \+ Docker) and contribute to their migration toward Kubernetes. **What You'll Do** ------------------ * Own backend services end\-to\-end (design, implementation, deployment, uptime, iteration) * Build and maintain APIs that orchestrate workflows across LLM, TTS, and STT vendors * Design resilient integration patterns (retries, timeouts, fallbacks, rate limits, circuit breakers) * Support real\-time and near\-real\-time systems with telephony latency constraints * Build and maintain CRM integrations (bi\-directional sync, webhooks, workflow triggers) * Support telecom integrations (events, call state, routing, reliability, traceability) * Model and operate systems using MongoDB (primary datastore) * Use Aurora (RDS) when relational guarantees are required * Implement asynchronous workflows using RabbitMQ * Use Redis for caching, ephemeral state, rate limiting, and coordination * Ship containerized services with Docker \+ AWS ECS * Contribute to Kubernetes migration (manifests, rollout strategies, operational readiness) * Improve CI/CD, deployment safety, rollback strategies, and observability * Collaborate on security and compliance needs (secrets management, least privilege, auditability) **What They're Looking For** ---------------------------- * 7\+ years of backend engineering experience with production ownership * Strong proficiency in Python * Solid understanding of APIs, data modeling, and distributed systems fundamentals * Experience operating containerized services (Docker \+ ECS and/or Kubernetes) * Practical experience with MongoDB and/or relational databases (Aurora/Postgres) * Experience with messaging systems (RabbitMQ or similar) * Experience with Redis (caching, rate limiting, coordination) * Strong debugging skills and an operator mindset * High agency: ability to take ambiguous problems and deliver solutions end\-to\-end * Willingness to contribute in TypeScript or learn quickly **Nice to Have** ---------------- * Experience with real\-time systems (telephony, streaming, WebSockets) * Vendor orchestration experience (fallback routing, provider selection, telemetry) * Production Kubernetes experience * Security/compliance exposure (SOC 2 concepts, data retention, audit trails) **How They Work** ----------------- * Ownership\-first culture * Bias for shipping and measurable impact * Simple, observable systems * Direct communication and strong documentation