Senior Python Engineer - AA, Remote: Colombia - Costa Rica, Fulltime

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    "description": "<p>We are looking for a Senior Python Backend Engineer to join a high-impact team working on a complex, data-intensive platform. This role focuses on building and scaling backend services that support large-scale data processing, search, and event-driven architectures.</p>\n<p>You’ll work in a modern cloud-native environment, collaborating with cross-functional teams to design, develop, and optimize distributed systems. This is an excellent opportunity for engineers who enjoy working with high-throughput systems, search technologies, and real-time data pipelines.</p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Responsibilities</span></p>\n<ul>\n<li>Design, develop, and maintain scalable backend services using Python (3.10–3.12) and Flask</li>\n<li>Build and optimize RESTful APIs using tools such as Flask-RESTX and Flask-SQLAlchemy</li>\n<li>Work with PostgreSQL for schema design, query optimization, and database migrations (Alembic)</li>\n<li>Develop and maintain integrations with Elasticsearch for indexing, querying, and large-scale search capabilities</li>\n<li>Implement and manage event-driven architectures using Apache Kafka</li>\n<li>Deploy and manage containerized applications using Docker and Kubernetes (EKS)</li>\n<li>Collaborate on infrastructure and deployment workflows using Helm and Argo CD (GitOps)</li>\n<li>Monitor and troubleshoot systems using Datadog and SentryContribute to system performance tuning, scalability improvements, and reliability initiatives</li>\n<li>Collaborate with cross-functional teams including frontend, data, and ML engineer<br></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Required Skills</span><br></p>\n<p><br></p>\n<ul>\n<li>Strong experience with Python backend development (Flask preferred)</li>\n<li>Solid understanding of SQLAlchemy and Alembic for ORM and migrations</li>\n<li>Hands-on experience with PostgreSQL (schema design, performance tuning)</li>\n<li>Experience working with Elasticsearch (querying, indexing, cluster concepts)</li>\n<li>Knowledge of Apache Kafka and event-driven systems (consumer/producer patterns)</li>\n<li>Experience with containerization (Docker) and Kubernetes (debugging pods, logs, deployments)</li>\n<li>Familiarity with AWS services such as S3, EC2, and EKS</li>\n<li>Strong problem-solving skills and ability to work in distributed systems environments</li>\n</ul>\n<p><br><span style=\"font-weight: bold\">Nice to Have</span></p>\n<ul>\n<li>Experience with Redis for caching or task queues</li>\n<li>Exposure to machine learning or NLP pipelines</li>\n<li>Familiarity with libraries such as PyTorch, HuggingFace Transformers, spaCy, or scikit-learn</li>\n<li>Experience working with GPU/CUDA-based workloads</li>\n<li>Frontend exposure with React and TypeScript</li>\n<li>Experience with LangChain, OpenAI APIs, or similar AI tools</li>\n</ul>\n<p><br><span style=\"font-weight: bold\">Technical Environment</span></p>\n<p><br><span style=\"font-weight: bold\">Backend: </span>Python, Flask, Gunicorn (gevent)<br><span style=\"font-weight: bold\">Databases:</span> PostgreSQL, Elasticsearch, Redis<br><span style=\"font-weight: bold\">Streaming:</span> Apache Kafka<br><span style=\"font-weight: bold\">Cloud &amp; DevOps:</span> AWS (EKS, S3, EC2), Docker, Helm, Argo CD<br><span style=\"font-weight: bold\">Observability: </span>Datadog, Sentry<br><span style=\"font-weight: bold\">Frontend:</span> React, TypeScript, Redux, Vite, Mapbox GL<br><br></p>",
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