Remote opportunity at
ClickUpSenior Backend Engineer, Search
ClickUp is seeking a Senior Backend Engineer, Search to join their team and help revolutionize search capabilities. The company builds a converged AI workspace that unifies…
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About This Role
ClickUp is seeking a Senior Backend Engineer, Search to join their team and help revolutionize search capabilities. The company builds a converged AI workspace that unifies tasks, documentation, chat, calendars, and enterprise search, operating as an AI-native organization where all personnel use AI daily. In this remote position, the chosen candidate will design, optimize, and scale search infrastructure built on backend services utilizing Postgres and OpenSearch. The role focuses on…
Job Description
ClickUp is seeking a Senior Backend Engineer, Search to join their team and help revolutionize search capabilities. The company builds a converged AI workspace that unifies tasks, documentation, chat, calendars, and enterprise search, operating as an AI-native organization where all personnel use AI daily. In this remote position, the chosen candidate will design, optimize, and scale search infrastructure built on backend services utilizing Postgres and OpenSearch. The role focuses on real-time search ingestion and serving to help users quickly locate workspace information.
The successful applicant will work on improving search relevance, accuracy, speed, and real-time indexing pipelines. Responsibilities also include building vector search capabilities, creating measurement frameworks for search quality, and troubleshooting complex search issues at scale. This position suits an experienced search engineer who can collaborate closely with product, backend, and AI teams to integrate search into new features and support the platform's productivity goals.
Responsibilities
- Design and implement scalable search solutions for a growing user base
- Enhance search speed, accuracy, and relevance
- Maintain and improve real-time indexing pipelines for up-to-date results
- Develop measurement frameworks to assess and elevate search quality
- Build and expand vector search features for next-generation user experiences
- Partner with AI, product, and backend teams to incorporate search into new features
- Troubleshoot complex search challenges at scale
Requirements
- Hold a Bachelor's degree in Computer Science or a related discipline
- Bring 5 or more years of professional experience as a search engineer or in a closely related role
- Demonstrate hands-on production background with OpenSearch or ElasticSearch
- Possess practical experience with high-scale, real-time data ingestion and search serving in backend services
- Show a proven capability to optimize indexing, query parsing, and relevance tuning for search platforms
- Demonstrate experience in measuring and optimizing search quality
Qualifications
- Possess a background in search ranking, information retrieval, and relevance algorithms
- Have hands-on familiarity with semantic search implementations and vector embeddings
- Show experience using TypeScript in backend architectures
- Demonstrate a track record of building search solutions that retain performance under heavy loads
- Have experience applying natural language processing and machine learning to improve search relevance
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, the posting lists the remote status as remote.
What is the salary range for this role?
The salary is USD 200,000 to 250,000 per year.
What core technologies are used for search?
The search infrastructure relies on backend services built on top of Postgres and OpenSearch, with a strong preference for production experience with OpenSearch or ElasticSearch.
Are visa sponsorships available?
Visa sponsorship for engineering and product roles is not guaranteed and depends on business needs for the specific role at the time.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.