Design and develop scalable and resilient information retrieval infrastructure
Work with product engineering to build new features
Collaborate to ensure high availability and reliability of a distributed search system
Own team features or systems and define their long-term health
Deploy, configure, test, troubleshoot, and maintain Solr clusters
Plan resources and optimize infrastructure and configuration
Assist support team in triaging production issues
Mentor engineers and deeply review code
Improve engineering standards, tooling, and processes

Requirements

3+ years of experience building web applications and large-scale distributed systems
Experience with Solr, ElasticSearch, Lucene, or other search technology
Exposure to infrastructure/ops tools and frameworks such as Terraform, Chef, and Kubernetes
Proficient with functional or imperative programming languages (PHP, Python, Ruby, Go, C, or Java)
Track record of developing high-availability, performant, and scalable systems over multiple clusters across geographical regions
Experience planning, implementing, and deploying software migrations and upgrades in production
Contribute to technical architecture discussions
Strong communication skills to explain complex concepts

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SolrElasticSearchLuceneTerraformChefKubernetesPHPPythonRubyGo

Soft Skills

communicationmentoringcollaborationproblem-solvingcode review