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Responsibilities

  • Owning the data models and storage architecture behind AI systems, across relational, graph, and retrieval-oriented data
  • Building and operating the APIs, backend services, and pipelines that keep data current and accessible
  • Designing reliable ingestion and update workflows, including incremental processing, schema changes, and safe backfills
  • Owning data correctness, query performance, and scalability as volume and complexity grow
  • Turning prototypes into production-ready data services, scoring workflows, and retrieval components
  • Diagnosing production issues and improving reliability, observability, and operational efficiency

Requirements

  • Six or more years of experience building and operating production backend, data, or distributed systems
  • Strong production Python and SQL, including experience building APIs, designing schemas, optimizing queries, and working with large or complex datasets
  • Deep experience with relational data systems and strong judgment about when graph or other specialized databases are the right choice
  • Experience building reliable ingestion and update pipelines, including incremental processing, data-quality checks, schema changes, and safe backfills
  • Experience designing production services with clear API contracts, versioning, error handling, and performance considerations
  • Hands-on experience deploying and operating services in AWS using containers, CI/CD, monitoring, and production debugging tools
  • Strong engineering practices around testing, code review, observability, documentation, and maintaining systems that other teams depend on

Nice-to-have

  • Deep experience operating a graph database in production, including traversal performance and query tuning at scale
  • Experience with versioned, bitemporal, or event-sourced data systems
  • Experience with vector search or semantic retrieval components (pgvector, OpenSearch, Pinecone, or similar)
  • Experience with multi-tenant data design and per-tenant isolation

What we offer

  • HUF 1.5M – HUF 2.2M per month compensation
  • Competitive compensation, plus all full-time employees participate in an 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 an 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

Company info

Instructure is a company that creates intuitive products to simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers. The AI team applies advanced AI to real problems in learning, turning research into product capabilities that educators and students use every day.

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.
Jelentkezem a cégnél – Senior Software Engineer, Data

Álláshirdetés jelentése
Jelentkezem a cégnél – Senior Software Engineer, Data
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