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The Wikimedia Foundation is seeking a Senior Software Engineer to join the team supporting the Wikidata Platform — the structured data backbone of Wikimedia projects and a key part of the global open knowledge ecosystem. You’ll help scale and sustain the Wikidata Query Service (WDQS) and related platform services that power tools, features, communities, and research efforts across Wikimedia projects and beyond. This role combines backend engineering and operations ownership. You’ll implement high-scale, production-grade services while ensuring performance, reliability, and maintainability. Working closely with the technical and product leads, you’ll contribute to shaping the future of how the world queries and interacts with structured, linked data.
Job Responsibility:
Design, build, and maintain backend systems and APIs that power Wikidata’s query infrastructure
Improve reliability, observability, and automation of the Wikidata Query Service and data pipelines
Collaborate with SRE, data engineers, and product teams to ensure stability and scalability under growing usage
Monitor production systems, respond to operational incidents, and proactively identify and resolve bottlenecks
Support platform migrations and system upgrades (e.g., triple stores, streaming ingestion)
Contribute to deployment automation, CI/CD workflows, and service instrumentation
Participate in code reviews, design discussions, and technical planning
Document systems and share knowledge with team members and Wikimedia’s broader technical community
Requirements:
5+ years of experience as a backend or platform engineer working on distributed systems or data platforms
Deep understanding of database and knowledge graph representation technologies and standards
Proficiency in Java, C++, or other systems languages. Ability to set up, scale, and investigate systems is more important than expertise in a particular language.
Experience building and operating production-grade services with SLOs
Familiarity with modern observability tools (metrics, logging, tracing)
Understanding of graph databases, search indexes, or data processing pipelines
Ability to work collaboratively across disciplines and communicate clearly across technical and non-technical audiences
A commitment to learning, resilience, and contributing to a mission-driven engineering culture
Nice to have:
Experience working with knowledge graphs or RDF/SPARQL
Familiarity with streaming data systems (e.g., Kafka, Flink)
Comfort with CI/CD pipelines and containerization tools (e.g., Docker, Kubernetes)
Experience in open source or open knowledge communities
Familiarity with Wikimedia technologies, Wikidata, or MediaWiki
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