Senior Infrastructure Engineer,... Instructure Hungary Kft.
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Senior Infrastructure Engineer, AI/ML Systems

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Responsibilities

  • Build and operate deployment pipelines for AI services, covering CI/CD, infrastructure-as-code, environment promotion, and rollback
  • Deploy and operate model serving, batch scoring, and orchestration pipelines across development, staging, and production
  • Partner with data scientists and applied AI engineers to take prototypes into production, including system design for net-new services
  • Own production reliability for AI services: monitoring, alerting, debugging, performance, and cost
  • Spot repeated patterns and turn them into reusable templates, so the team can ship its second and third variant of something without rebuilding it

Requirements

  • Six or more years in infrastructure, DevOps, platform, or ML engineering, with ownership of systems running in production
  • Deep hands-on experience across a wide range of AWS services, including compute, networking, storage, deployment, and monitoring
  • Infrastructure-as-code experience (Terraform, CDK, or CloudFormation)
  • Experience with containers and modern deployment patterns (Docker required, Kubernetes or ECS/EKS a plus), applied to CI/CD pipelines designed and operated for production services
  • Experience with orchestration and workflow tooling (Airflow, Dagster, Argo, Step Functions, or similar)
  • Comfort working through ambiguity and collaborating directly with data scientists and researchers

Nice-to-have

  • Experience with ML platform components and data pipeline orchestration at scale
  • Experience running LLM-based or retrieval-based systems in production
  • Experience operating specialized data stores, including graph databases
  • Experience building internal tooling, templates, or reference implementations that other engineers adopted

What we offer

  • HUF 1.5M – HUF 2.2M per month compensation
  • Competitive compensation, plus participation in ownership program
  • Flexible work culture with remote, hybrid and in-office collaboration spaces
  • Generous time off, including local holidays and annual “Dim the Lights” period in late December
  • Comprehensive wellness programs and mental health support
  • Learning and development resources, including professional development tools and tuition reimbursement
  • Technology and tools needed to do best work
  • Motivosity employee recognition program
  • A culture rooted in inclusivity, support, and meaningful connection

How to apply

You can submit your application on the company's website, which you can access by clicking the „Apply on company page“ button.
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