AI-Driven SRE & DevOps Engineer: Observability

Luxoft; México; Presencial; MXN 900.000 - 1.200.000; Jornada completa

Descripción de la vacante

Luxoft in Mexico is seeking an experienced Observability Engineer to design and maintain SLO-based monitoring and alerting for a distributed healthcare data platform. You will implement PromQL queries, Grafana dashboards, and automation tools to improve reliability and visibility across 110-140 services.

The role emphasizes AI-assisted development, telemetry quality, and collaboration with platform teams to drive observability adoption in cloud-native environments.

Formación

• Strong experience in Observability, SRE, or Platform Engineering.
• Advanced PromQL expertise, including identifying 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. AI-assisted engineering is an expected part of the development workflow.
• 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 expert

Grafana provisioning

Python or TypeScript

AI-assisted development tools

Telemetry validation

Herramientas

Grafana

Terraform

Prometheus

Python

TypeScript

GitHub Copilot

Descripción del empleo

Luxoft in Mexico is seeking an experienced Observability Engineer to design and maintain SLO-based monitoring and alerting for a distributed healthcare data platform. You will implement PromQL queries, Grafana dashboards, and automation tools to improve reliability and visibility across 110-140 services.

The role emphasizes AI-assisted development, telemetry quality, and collaboration with platform teams to drive observability adoption in cloud-native environments.