Senior Backend Engineer

hace 19 horas


Argentina Braintrust A tiempo completo

Overview We are seeking a Senior Backend Engineer to design and build the backend layers that power our platforms, with a focus on secure APIs, data processing pipelines, and resilient storage systems. You will play a key role in shaping our backend architecture, ensuring it is robust, scalable, and secure. This role requires both technical leadership and hands-on implementation, working closely with cross-functional teams to deliver end-to-end solutions. You\'ll collaborate closely with Frontend Developers, Data Scientists, AI Engineers, and Product Managers to deliver seamless end-to-end solutions. Responsibilities Design, develop, and maintain secure, scalable backend services, APIs, and microservices. Architect and implement backend layers including API Gateway & Load Balancer, AI Agent layer, Data Intelligence, Data Extraction, and Data Storage. Build resilient Python services with frameworks like LangGraph, Celery, PydanticAI, and enforce typed schemas for data quality. Implement event-driven processing and long-running job orchestration with retries, backoff, and idempotency. Develop integration points with external connectors/SDKs and ensure validation at ingestion. Optimize backend components for performance, reliability, and cost efficiency at scale. Work with diverse data stores (e.g., Elasticsearch, Neo4j, DynamoDB, MySQL) ensuring fit-for-purpose storage, security, and compliance. Implement monitoring, observability, and tracing for backend pipelines (Prometheus, Grafana, centralized logging, Langfuse, Arize Phoenix). Collaborate with frontend, AI/ML, product, and infra teams to deliver seamless solutions. Document backend architecture, APIs, and workflows for internal reference and onboarding. Stay current with backend/cloud technologies and recommend improvements. Qualifications 7+ years of professional experience in backend software development, with deep expertise in Python. Proven experience building scalable backend systems with Python services, Celery workers, event-driven architectures, and API Gateway/ALB. Solid understanding of microservices patterns, event-driven systems, and schema validation with tools like PydanticAI. Hands-on experience with SQL and NoSQL databases (MySQL, DynamoDB, Neo4j) and search engines (Elasticsearch). Familiar with Infrastructure as Code (IaC) and CI/CD pipelines for safe, automated releases. Strong grasp of software engineering principles, security best practices, and data lifecycle management. Experience with observability and monitoring tools (Prometheus, Grafana, centralized logging, Langfuse, Arize Phoenix). Comfortable working with Git-based workflows in collaborative environments. Excellent problem-solving and debugging skills. Strong communication and collaboration abilities, with effective written and spoken English. #J-18808-Ljbffr


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