AI-First DataOps Engineer

Luxoft Poland

Polska

Presencial

PLN 180 000 - 240 000

Tempo integral

Há 3 dias
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Resumo da oferta

Luxoft Poland is seeking a Support Engineer who blends production support expertise with DevOps engineering and AI fluency. You will bridge development and operations across .NET/C#, APIs, event-driven systems, data platforms, and BI tools to ensure operational stability and reliability through automation and observability.

You will work alongside Software Engineers, owning incident resolution, CI/CD health, infrastructure automation, and production readiness.

Qualificações

  • Experience in L2/L3 production support and incident management following ITIL practices.
  • Hands-on DevOps experience with CI/CD pipelines, IaC, and cloud resources.
  • Strong observability, monitoring, and AI-assisted triage capabilities.
  • Familiarity with Databricks, Palantir Foundry, and data platforms is a plus.

Responsabilidades

  • Own incident resolution and RCA for complex production issues.
  • Maintain CI/CD pipelines and automate deployment workflows.
  • Manage infrastructure as code for Azure resources.
  • Monitor service health with Dynatrace and implement alerting rules.
  • Coordinate with platform engineering, data teams, and vendors for resolutions.
  • Improve runbooks and enable faster, reliable incident response.

Conhecimentos

L2/L3 production support
Incident management
Azure DevOps
Terraform
Docker
Kubernetes
Python scripting
AI/ML tooling

Ferramentas

Dynatrace
StoneBranch
ServiceNow
OpenTelemetry
Databricks
Palantir Foundry

Descrição da oferta de emprego

Luxoft Poland is seeking a Support Engineer who blends production support expertise with DevOps engineering and AI fluency. You will bridge development and operations across .NET/C#, APIs, event-driven systems, data platforms, and BI tools to ensure operational stability and reliability through automation and observability.

You will work alongside Software Engineers, owning incident resolution, CI/CD health, infrastructure automation, and production readiness.

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