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

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.

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.

Responsibilities

• Design, develop, and maintain scalable backend services using Python (3.10–3.12) and Flask
• Build and optimize RESTful APIs using tools such as Flask-RESTX and Flask-SQLAlchemy
• Work with PostgreSQL for schema design, query optimization, and database migrations (Alembic)
• Develop and maintain integrations with Elasticsearch for indexing, querying, and large-scale search capabilities
• Implement and manage event-driven architectures using Apache Kafka
• Deploy and manage containerized applications using Docker and Kubernetes (EKS)
• Collaborate on infrastructure and deployment workflows using Helm and Argo CD (GitOps)
• Monitor and troubleshoot systems using Datadog and SentryContribute to system performance tuning, scalability improvements, and reliability initiatives
• Collaborate with cross-functional teams including frontend, data, and ML engineer

Required Skills

• Strong experience with Python backend development (Flask preferred)
• Solid understanding of SQLAlchemy and Alembic for ORM and migrations
• Hands-on experience with PostgreSQL (schema design, performance tuning)
• Experience working with Elasticsearch (querying, indexing, cluster concepts)
• Knowledge of Apache Kafka and event-driven systems (consumer/producer patterns)
• Experience with containerization (Docker) and Kubernetes (debugging pods, logs, deployments)
• Familiarity with AWS services such as S3, EC2, and EKS
• Strong problem-solving skills and ability to work in distributed systems environments

Nice to Have

• Experience with Redis for caching or task queues
• Exposure to machine learning or NLP pipelines
• Familiarity with libraries such as PyTorch, HuggingFace Transformers, spaCy, or scikit-learn
• Experience working with GPU/CUDA-based workloads
• Frontend exposure with React and TypeScript
• Experience with LangChain, OpenAI APIs, or similar AI tools

Technical Environment

Backend: Python, Flask, Gunicorn (gevent)
Databases: PostgreSQL, Elasticsearch, Redis

Streaming: Apache Kafka

Cloud & DevOps: AWS (EKS, S3, EC2), Docker, Helm, Argo CD
Observability: Datadog, Sentry
Frontend: React, TypeScript, Redux, Vite, Mapbox GL

Originally posted on Himalayas