SRE & DevOps — Observability & SLO Expert

Luxoft; México; Presencial; MXN 800.000 - 1.100.000; Jornada completa

Descripción de la vacante

Luxoft is seeking a specialist to join a healthcare data platform team focused on SLO-based monitoring and alerting across 110-140 services, including an internal SLA visibility app.

You will design instrumentation, validated signals, and observability adoption across distributed systems, using Grafana, PromQL, and configuration-as-code in Python or TypeScript, with AI-assisted development encouraged. This role emphasizes reliability and collaboration within a flexible Agile environment.

Formación

• Strong experience in Observability, SRE, or Platform Engineering.
• Advanced PromQL expertise, including the ability to identify misleading or incorrect query results.
• Hands-on experience designing and implementing SLOs and multi-window burn-rate alerting.
• Experience with Grafana provisioning and configuration as code.
• Ability to build automation tools and code generators using Python or TypeScript.
• Hands-on experience using AI-assisted development tools such as Claude Code, GitHub Copilot, or equivalent.
• Strong analytical mindset with a healthy skepticism toward telemetry data.
• Experience validating signals through multiple independent sources before operationalizing alerts.
• Experience with cloud-native or distributed systems environments.

Responsabilidades

• Design and maintain SLO-based monitoring and alerting solutions.
• Create and optimize PromQL queries and multi-window burn-rate alerts.
• Build and manage Grafana dashboards using configuration-as-code practices.
• Develop automation and monitoring configuration generators in Python or TypeScript.
• Contribute to Terraform-based observability infrastructure.
• Validate monitoring signals and improve alert quality.
• Collaborate with engineering and platform teams to enhance reliability and operational visibility.

Conocimientos

Observability/SRE

PromQL expertise

SLOs & burn-rate alerts

Grafana as code

Python/TypeScript automation

Terraform observability

AI-assisted development

Telemetry data analysis

Multi-source signal validation

Cloud-native distributed systems

Herramientas

Grafana

Terraform

Python

TypeScript

Descripción del empleo

Luxoft is seeking a specialist to join a healthcare data platform team focused on SLO-based monitoring and alerting across 110-140 services, including an internal SLA visibility app.

You will design instrumentation, validated signals, and observability adoption across distributed systems, using Grafana, PromQL, and configuration-as-code in Python or TypeScript, with AI-assisted development encouraged. This role emphasizes reliability and collaboration within a flexible Agile environment.