Backend Python Engineer (BOG)

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 Advanced written / spoken English (B2) 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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