Backend Engineer, Experiments Platform (Remote)

Constructor; España; On-site; EUR 70,089 - 96,373; Full time

Benefits offered by this job

Unlimited vacation

Fully remote

Home office stipend

Apple laptops provided

Training budget

Maternity & Paternity leave

Stock options

Team offsites

Job summary

Constructor.io is seeking a backend engineer focused on Python services to own production backend systems for experiments, with occasional UI work. You’ll contribute to scalable reporting pipelines, improve reliability, and collaborate with Search/Recommendations teams on data-heavy workloads.

The role emphasizes correctness, observability, and product usability, with a fully remote work setup and competitive compensation including stock options.

Qualifications

• 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).

Responsibilities

• 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).

Skills

Python backend

Monitoring & debugging

SQL & data-heavy systems

Software testing & reviews

Tools

PostgreSQL

Plotly Dash

PySpark/Databricks

Job description

Constructor.io is seeking a backend engineer focused on Python services to own production backend systems for experiments, with occasional UI work. You’ll contribute to scalable reporting pipelines, improve reliability, and collaborate with Search/Recommendations teams on data-heavy workloads.

The role emphasizes correctness, observability, and product usability, with a fully remote work setup and competitive compensation including stock options.