Position Summary
We are looking for a Backend Python Engineer to drive the design, implementation, and validation of Python backend services and APIs for one of our clients.
This position will take full end-to-end ownership — from technical design through coding, testing, deployment, and integration with CI/CD pipelines — ensuring scalable, reliable, and secure systems.
This is a hybrid role based in Bogota.
Responsibilities
- Own the design and implementation of backend services and APIs (REST/GraphQL) in Python
- Deliver features end-to-end: design, build, test, deploy, and validate in production
- Integrate with third-party APIs and internal systems reliably and securely
- Set up and maintain CI/CD pipelines, test automation, and deployment workflows
- Ensure high test coverage and enforce engineering best practices
- Monitor, debug, and resolve production issues; continuously improve reliability
- Collaborate with product, data, and infrastructure teams in agile delivery
- Take end-to-end technical ownership of assigned services, from design through integration into pipelines and production validation.
Required Skills
- Clear written/spoken English (C1) and ability to communicate async
- 5–8+ years of professional experience as a backend or software engineer with a strong recent Python focus
- Expertise with Scala, FastAPI or Django, SQL (PostgreSQL/MySQL), and ORMs
- Proficiency in Docker, CI/CD (GitHub Actions/GitLab), and testing frameworks
- Hands-on experience integrating systems and building pipelines
- Strong system design and problem-solving skills; ability to deliver resilient solutions
- Proficiency with cloud platforms (AWS/GCP/Azure — containers, managed DBs, secrets)
Nice to Have
- Caching (Redis), task queues (Celery/RQ), message brokers (Kafka/SQS)
- Experience with ETL/data pipelines, dbt, or analytics integrations
- Knowledge of AuthN/Z (OAuth/OIDC), RBAC, and security best practices
- Observability (OpenTelemetry), metrics, dashboards, and alerting systems
Infrastructure-as-Code (Terraform) or DevOps tooling exposure.
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