
Python
Kubernetes
Backend Engineer - Platform
Overview
At Tinybird, we help developers and data teams take flight by unlocking the power of real-time data to quickly build data pipelines and innovative data products.
Job Description
Tinybird is the essential tool that data engineers and software developers have been waiting for enabling you to drive innovation with ease.
Responsibilities
- - Working on critical backend services and shared platform components that support ingestion, request routing, caching, reliability, and production operations.
- - Profiling bottlenecks and improving performance in critical paths.
- - Reducing operational toil by turning manual or fragile processes into repeatable, well-owned systems.
- - Helping with incident prevention, operational reviews, and follow-up work after reliability issues.
- - Keeping key dependencies current and operationally safe.
- - Improving the observability stack: telemetry, dashboards, alerting, and long-term visibility into system health.
- - Working on Kubernetes lifecycle tasks, cluster-level infrastructure, or deployment safety.
- - Improving CI/CD foundations so teams can ship and operate changes with more confidence.
- - Making development and test environments faster, more stable, and more useful for engineering teams.
Required Skills
- - Strong experience building backend services, distributed systems, infrastructure components, or high-volume production systems.
- - Highly proficient in Python.
- - Comfortable working close to production: debugging incidents, understanding system behavior, improving observability, and making services more reliable.
- - Enjoy solving low-level and systemic problems, not only shipping new features.
- - Care about performance, reliability, cost efficiency, and operational simplicity.
- - Pragmatic: can move fast when needed, but knows when stability, safety, and maintainability matter more.
- - Take ownership, follow through, and make progress even when things are not fully defined.
- - Like data and SQL, and curious about how real-time analytical systems work.
- - Communicate clearly in writing.
- - Use AI tools like Claude Code, Cursor, ChatGPT, or others to move faster, stay unblocked, and improve the way you work.
- - Fluent in English and Spanish.
Benefits
- - 22 days of holiday a year (plus your birthday and public holidays).
- - Freedom to work from wherever suits you best.
- - Up to €2,400 to help you set up your home work space.
About the company
Tinybird helps data teams build real-time Data Products at scale through SQL-based API endpoints
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