Senior Software Engineer, Data
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Summary
Senior engineer role at Instructure (Hungary, remote-friendly) owning the data models, storage, pipelines, and backend APIs behind AI systems. Day to day: building ingestion/update workflows, production data services, and retrieval components in Python/SQL on AWS.
- Ownership of data models and storage architecture behind AI systems across relational, graph, and retrieval-oriented data
- Building and operating APIs, backend services, and pipelines to keep data current and accessible
- Designing reliable ingestion and update workflows including incremental processing, schema changes, and safe backfills
- Ownership of 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
- Six or more years of experience building and operating production backend, data, or distributed systems
- Strong production Python and SQL skills including API building, schema design, query optimization, and working with large or complex datasets
- Deep experience with relational data systems and judgment about when graph or other specialized databases are appropriate
- 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
- 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 such as pgvector, OpenSearch, Pinecone, or similar
- Experience with multi-tenant data design and per-tenant isolation
- Competitive compensation including 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
- Comprehensive wellness programs and mental health support
- Learning and development resources including professional development tools and tuition reimbursement
- Provision of technology and tools needed to do best work
- Motivosity employee recognition program
- A culture rooted in inclusivity, support, and meaningful connection