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