Senior Infrastructure Engineer, AI/ML Systems

Instructure
Budapest
Workplace: HybridFull timeHUF 1,500,000 - 2,200,000 monthlyFunction: DevOps, Cloud & InfrastructureExperience: 6+ yearsSkills: ["Ownership","Collaboration","Debugging","Monitoring","Comfort with ambiguity"]

Own the end-to-end deployment path for AI services, taking models and AI capabilities from prototype to production and ensuring they run reliably. Build and operate CI/CD and environment promotion with infrastructure-as-code, deploy model serving and orchestration workflows across dev/staging/production, and drive production reliability through monitoring, alerting, debugging, and cost optimization. Partner with data scientists and applied AI engineers to design new production services at scale.

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FursaFursa
Instructure
Instructure
1 day ago

Senior Infrastructure Engineer, AI/ML Systems

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Own the end-to-end deployment path for AI services, taking models and AI capabilities from prototype to production and ensuring they run reliably. Build and operate CI/CD and environment promotion with infrastructure-as-code, deploy model serving and orchestration workflows across dev/staging/production, and drive production reliability through monitoring, alerting, debugging, and cost optimization. Partner with data scientists and applied AI engineers to design new production services at scale.
Location: Budapest
Workplace: Hybrid
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Build and operate deployment pipelines for AI services, including CI/CD, infrastructure-as-code, environment promotion, and rollback
  • •Deploy and operate model serving, batch scoring, and orchestration pipelines across development, staging, and production
  • •Collaborate with data scientists and applied AI engineers to take prototypes into production and design net-new services
  • •Own production reliability for AI services, including monitoring, alerting, debugging, performance, and cost
  • •Turn recurring patterns into reusable templates to accelerate shipping subsequent service variants

Pay and Benefits

Salary: HUF 1,500,000 - 2,200,000 monthly
Perks:Wellness StipendHealth InsuranceLearning Budget

Key Requirements

  • •6+ years in infrastructure, DevOps, platform, or ML engineering with ownership of production systems
  • •Hands-on experience with a wide range of AWS services across compute, networking, storage, deployment, and monitoring
  • •Infrastructure-as-code experience with Terraform, CDK, or CloudFormation
  • •Experience with containers and modern deployment patterns (Docker required; Kubernetes or ECS/EKS a plus) for CI/CD pipelines
  • •Experience with orchestration/workflow tools such as Airflow, Dagster, Argo, Step Functions, or similar
Experience:6+ yearsMLDevOpsPlatform engineering
Skills:OwnershipCollaborationDebuggingMonitoringComfort with ambiguity
Tech Stack:AWSTerraformCDKCloudFormationDockerKubernetesECSEKSCI/CDInfrastructure as CodeAirflowDagsterArgoStep Functions

Company Brief

Instructure
Builds and delivers learning management and education technology solutions, best known for the Canvas LMS platform, serving K–12 schools, higher education institutions, and corporate learning programs worldwide.
Industry: EdTech
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Funding: Private Equity Backed
Headquarters: Salt Lake City, United States
Founded: 2008
WebsiteLinkedIn