Senior Infrastructure Engineer, AI/ML Systems
Instructure, Inc.2 months ago
Budapest, HungarySenior
Responsibilities
- Build and operate deployment pipelines for AI services using 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 productionize prototypes and design net-new services.
- Own production reliability for AI services, including monitoring, alerting, debugging, performance, and cost.
- Create reusable templates and patterns that help engineers ship subsequent service variants efficiently.
Requirements
- Six or more years of experience in infrastructure, DevOps, platform, or ML engineering with ownership of production systems.
- Deep hands-on experience with a broad range of AWS services across compute, networking, storage, deployment, and monitoring.
- Experience with infrastructure-as-code using Terraform, CDK, or CloudFormation.
- Required experience with Docker and modern deployment patterns; Kubernetes or ECS/EKS experience is a plus.
- Experience designing and operating production CI/CD pipelines.
- Experience with orchestration and workflow tools such as Airflow, Dagster, Argo, or Step Functions.
- Ability to work through ambiguity and collaborate directly with data scientists and researchers.
- Bonus: experience with ML platform components, data pipeline orchestration at scale, LLM-based or retrieval-based systems, specialized data stores including graph databases, or internal tooling and reference implementations.
Benefits
- Onsite collaboration is required Tuesday and Wednesday, with Thursday strongly encouraged.
- Competitive compensation and participation in an ownership program for full-time employees.
- Flexible remote, hybrid, and in-office work arrangements vary by role, team, and location.
- Generous time off, local holidays, and an annual late-December “Dim the Lights” period based on departmental needs.
- Wellness programs and mental health support.
- Learning and development resources, professional development tools, and tuition reimbursement.
- Company-provided technology and tools, employee recognition through Motivosity, and an inclusive, collaborative culture.
Tech Stack
Categories
About Instructure, Inc.
Instructure builds Canvas, a cloud learning management system, along with tools for assessment, video learning, credentials, and analytics for K–12, higher education, and corporate training. It sells these products as SaaS subscriptions with related services. Founded in 2008 and headquartered in Salt Lake City, the company trades on the NYSE and expanded its credentials offering by acquiring Parchment in 2024.