Senior Software Engineer - Data Search

New

JobgetherCreator search

Fully remote in Europe, some working-hour overlap around GMT+3Full-TimeSenior

SalaryAnnual salary range of €100,000–€130,000, plus stock options.

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Job Details

Required Skills: AWSNode.jsPythonElasticSearchGCPTypeScriptDistributed Systems

Have proven experience building large-scale data, backend, or search-oriented products where volume, latency, reliability, scalability, and cost matter.
Have taken products or substantial technical initiatives from concept through architecture, implementation, production release, measurement, and iteration.
Have strong experience designing and working with distributed systems, including throughput, data flows, scalability, failure modes, reliability, and operational tradeoffs.
Have professional experience building LLM-powered or agentic features in production and understand model capabilities, limitations, latency, and cost.
Have strong programming skills and comfort with technologies such as Python, TypeScript, or Node.js.
Be able to work autonomously on ambiguous problems, gather missing context, and turn uncertainty into action.
Be able to explain complex technical concepts and tradeoffs to technical and non-technical stakeholders.
Have experience in fast-moving product environments where teams ship incrementally, learn from data, and adapt to changing priorities.
Cloud infrastructure and modern data platform experience, particularly AWS or GCP, is valuable.
Experience with Elasticsearch, vector databases, distributed data processing, data orchestration, or infrastructure as code is advantageous.
Bonus experience includes multimodal embeddings, semantic search, ranking algorithms, model deployment, self-hosted models, GPU infrastructure, or vector search technologies.

Improve creator discovery by enhancing retrieval, filtering, ranking, relevance, performance, and the search experience.
Design and build systems that generate and use multimodal embeddings from images, video, text, and audio at scale.
Develop search capabilities and take ideas from experimentation into reliable production systems.
Own technical problems end to end, from understanding customer needs and gathering requirements through architecture, implementation, launch, measurement, and iteration.
Diagnose relevance and performance issues across data, query logic, retrieval, ranking, models, and product decisions.
Evaluate models and technologies, weighing their tradeoffs and potential to improve the search experience.
Work with data and product teams to introduce datasets, datapoints, and search capabilities while ensuring coverage and data quality.
Contribute to technical direction and architecture while maintaining reliable, scalable, and maintainable production services.
Share technical findings and learnings with colleagues and contribute to engineering practices and continuous improvement.

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