Senior DevOps/SRE Engineer

Luxoft Poland

Poland

On-site

PLN 180,000 - 260,000

Full time

32 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

Private Medical & Dental care & Life Insurance

Internal Mobility program - possibility of rotation between projects, locations, accounts

Project Description

Join a healthcare data platform team building client-scoped SLO monitoring and alerting solutions. The project includes automated dashboard and alert generation across 110-140 services, as well as an internal application providing customer-specific SLA visibility.

This role focuses on application instrumentation, telemetry quality, and observability adoption across distributed systems. AI-assisted development is expected and encouraged.

In Luxoft, our culture is one that strives on solving difficult problems focusing on product engineering based on hypothesis testing to empower people to come up with ideas. Great Place to Work Institute certifies us as one of the Top 10 companies to work for in Mexico, and we do it with a truly flexible environment, high impact projects in Agile environments, a culture focused on results, training and strong support to grow your career.

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
What is relevant to have
  • Strong experience in Observability, SRE, or Platform Engineering.
  • Advanced PromQL (or equivalent) 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. 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.
What is nice to have
  • Groundcover
  • VictoriaMetrics
  • OpenTelemetry Collector
  • AWS EKS
  • Healthcare or regulated-industry experience
  • Experience building observability tooling and service health reporting solutions
  • Okta and observability platform access
  • AI-assisted engineering is a standard part of the development workflow.
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