Staff Engineer: AI-Driven Performance & Reliability

Factorial HR; Oleiros; Híbrido; EUR 100.000 - 140.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Private health insurance

Wellhub gym

Cobee benefits

Language classes

Breakfast in the office

Nora discounts

Free caffeine

Pet friendly

Descripción de la vacante

Factorial HR in Barcelona is seeking a Staff Software Engineer to join the DX and Performance team, focusing on performance, reliability, observability, and AI-assisted engineering workflows.

You will collaborate across product, infrastructure, and DX to improve observability, load validation, performance visibility, and engineering practices in a fast-growing, multi-regional SaaS environment.

Formación

• Proven track record improving performance, scalability, and reliability in complex systems.
• Experience defining or operating SLIs/SLOs and service health frameworks.
• Strong observability knowledge with modern tools (e.g., Datadog).

Responsabilidades

• Define and evolve SLIs and SLOs for critical product journeys.
• Standardize observability, dashboards, and service health visibility across teams.
• Investigate bottlenecks across application, database, and distributed system layers.
• Drive improvements in latency, throughput, scalability, and reliability.
• Build structured load testing workflows for critical paths.
• Collaborate with product and infra teams to align on performance priorities.
• Design AI-assisted workflows to support metric interpretation and incident analysis.

Conocimientos

Performance

Reliability

Observability

Load testing

AI-assisted workflows

Herramientas

Ruby on Rails

GraphQL

TypeScript

MySQL

Kafka

ClickHouse

Descripción del empleo

Factorial HR in Barcelona is seeking a Staff Software Engineer to join the DX and Performance team, focusing on performance, reliability, observability, and AI-assisted engineering workflows.

You will collaborate across product, infrastructure, and DX to improve observability, load validation, performance visibility, and engineering practices in a fast-growing, multi-regional SaaS environment.