Senior Search Engineer, Modash

• Solid experience as a Backend or Data Engineer with a focus on search systems at big-data scale
• Deep expertise with Elasticsearch or comparable search technologies
• Experience with vector search, embeddings, semantic search, and ranking algorithms
• Proven track record designing & scaling indexing and querying pipelines
• Familiarity with AWS (SageMaker, Glue, Kinesis, SQS, Lambda, ECS)
• You’ve built full products from concept to production: scoping → architecture → implementation → release
• Strong system design skills and experience with large-scale, high-volume environments
• Clear communication skills & collaborative mindset
• Autonomy in gathering requirements for complex projects
• Experience in fast-paced startup environments
• Based in Europe with some overlap with GMT+3

Desirable

• We’re not a service function — Data & Backend Engineering are core product capabilities at Modash, building products for customers to use
• Search is a specialised sub-team of backend engineering, and you’ll own projects end-to-end, from idea to launch
• Start your day with a short standup
• Heads-down focus time to design, build, and optimise large-scale search systems
• Minimal meetings — maximum ownership
• Collaborating with backend, data, and product teams to deliver impactful features
• Continuously improving search accuracy, speed, and scalability
• Building a creator search engine indexing 200M+ influencer profiles and billions of media files
• Generating embeddings from images, videos, text, and audio at massive scale
• Creating systems for advanced filtering, ranking, and relevance scoring
• Deploying the latest ML models for semantic and vector search into production within weeks
• Designing indexing and querying pipelines to serve millions of requests with low latency
• Experimenting with how LLMs, multimodal embeddings, and vector databases can enhance search & recommendations
• At Modash, search is a joint effort between the data and backend engineering teams
• We work in two closely aligned teams:
• Data Engineering – building the ingestion, processing, and enrichment pipelines that feed our search systems
• Backend Engineering – integrating search into our APIs, infrastructure, and customer-facing features

• We move fast. You can get interviewed in under a week. Process consists of:
• 1. Intro chat
• 2. System Design Interview (search and influencer related)
• 3. Team Interview
• 3. Culture & alignment call with the CEO Avery Schrader - That’s it!