Senior AI-Driven Observability & SRE Engineer

Luxoft Poland

Poland

On-site

PLN 180,000 - 260,000

Full time

31 hours ago
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Benefits offered by this job

Private Medical
Dental care
Life Insurance
Internal Mobility

Job summary

Luxoft Poland invites you to join a healthcare data platform team building client-scoped SLO monitoring and alerting solutions. The project includes automated dashboards and alert generation across 110–140 services and an internal app for SLA visibility.

The role focuses on instrumentation, telemetry quality, and observability across distributed systems, with AI-assisted development encouraged.

Qualifications

  • Experience in Observability, SRE, or Platform Engineering.
  • Advanced PromQL expertise and ability to validate query results.
  • Hands-on with designing and implementing SLOs and burn-rate alerts.
  • Experience with Grafana provisioning and config-as-code.
  • Automation tools and code generators using Python or TypeScript.
  • Experience with AI-assisted development tools.
  • Strong analytical mindset toward telemetry data.
  • Experience validating signals from multiple sources.

Responsibilities

  • 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.

Skills

Observability
SRE/Platform Eng
PromQL
SLOs & burn-rate
Grafana/config-as-code
Python/TypeScript
AI-assisted development
Telemetry data analysis
Distributed systems

Tools

Grafana provisioning
Terraform
OpenTelemetry
AWS EKS

Job description

Luxoft Poland invites you to join a healthcare data platform team building client-scoped SLO monitoring and alerting solutions. The project includes automated dashboards and alert generation across 110–140 services and an internal app for SLA visibility.

The role focuses on instrumentation, telemetry quality, and observability across distributed systems, with AI-assisted development encouraged.

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