Senior Infrastructure Engineer, AI/ML Systems at Instructure Hungary Kft. – Budapest | Jobyssey

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 including monitoring, alerting, debugging, performance, and cost
Spot repeated patterns and turn them into reusable templates

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 with Terraform, CDK, or CloudFormation
Experience with containers and modern deployment patterns including Docker and Kubernetes or ECS/EKS applied to CI/CD pipelines designed and operated for production services
Experience with orchestration and workflow tooling such as Airflow, Dagster, Argo, Step Functions, or similar
Comfort working through ambiguity and collaborating directly with data scientists and researchers

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 adopted by other engineers

Competitive compensation including participation in ownership program
Flexible work culture with remote, hybrid, and in-office collaboration spaces varying by role, team, and location
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

Senior Infrastructure Engineer, AI/ML Systems

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