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.ResponsibilitiesDesign, develop, and maintain scalable backend services using Python (3.10–3.12) and FlaskBuild and optimize RESTful APIs using tools such as Flask-RESTX and Flask-SQLAlchemyWork with PostgreSQL for schema design, query optimization, and database migrations (Alembic)Develop and maintain integrations with Elasticsearch for indexing, querying, and large-scale search capabilitiesImplement and manage event-driven architectures using Apache KafkaDeploy 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 initiativesCollaborate with cross-functional teams including frontend, data, and ML engineerRequired SkillsStrong experience with Python backend development (Flask preferred)Solid understanding of SQLAlchemy and Alembic for ORM and migrationsHands-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 EKSStrong problem-solving skills and ability to work in distributed systems environmentsNice to HaveExperience with Redis for caching or task queuesExposure to machine learning or NLP pipelinesFamiliarity with libraries such as PyTorch, HuggingFace Transformers, spaCy, or scikit-learnExperience working with GPU/CUDA-based workloadsFrontend exposure with React and TypeScriptExperience with LangChain, OpenAI APIs, or similar AI toolsTechnical EnvironmentBackend: Python, Flask, Gunicorn (gevent) Databases: PostgreSQL, Elasticsearch, RedisStreaming: Apache KafkaCloud & DevOps: AWS (EKS, S3, EC2), Docker, Helm, Argo CD Observability: Datadog, Sentry Frontend: React, TypeScript, Redux, Vite, Mapbox GLOriginally posted on Himalayas