Remote Backend Engineer - Python, Data-Driven Experiments

Constructor.io; Barcelona; Presencial; EUR 69.000 - 95.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Unlimited vacation

Fully remote

Work from home stipend

Apple laptops

Training budget

Parental leave

Stock options

Team offsites

Descripción de la vacante

Constructor.io is a distributed team hiring a backend-focused engineer for its Experiments platform. You’ll build Python services and data-heavy pipelines, with opportunities to contribute to the Dash UI and Spark/Databricks work, while prioritizing correctness and observability.

You’ll own backend components for experiment assignment, logging, and reporting, collaborate with Search/Recommendations and ML/DS partners, and participate in on-call rotations.

Formación

• Strong experience building and owning production backend services in Python
• Experience with monitoring, alerting, and debugging user-facing systems
• Strong SQL skills and confidence working with data-heavy systems (metrics, logging, analytics)
• Ability to ship maintainable software (tests, code review, incremental delivery)

Responsabilidades

• Build and maintain backend services for experiment assignment, logging, and report generation
• Improve scalability, performance, and reliability of experiment reporting pipelines
• Add product-facing features to the UI to help users launch experiments and interpret results
• Take technical ownership of projects: shape solutions, break down work, and drive execution with the team
• Participate in a weekly on-call rotation (investigating occasional issues and answering internal questions)

Conocimientos

Backend development

Monitoring & debugging

SQL & data-heavy systems

Software craftsmanship

Herramientas

FastAPI

PostgreSQL

Plotly Dash

PySpark/Databricks

AWS

CloudWatch

Sentry

Descripción del empleo

Constructor.io is a distributed team hiring a backend-focused engineer for its Experiments platform. You’ll build Python services and data-heavy pipelines, with opportunities to contribute to the Dash UI and Spark/Databricks work, while prioritizing correctness and observability.

You’ll own backend components for experiment assignment, logging, and reporting, collaborate with Search/Recommendations and ML/DS partners, and participate in on-call rotations.