Design and develop scalable and resilient information retrieval infrastructure to power Slack search and other products
Work with product engineering to conceptualize and build new features for our large (and growing!) user base
Collaborate with team members to ensure high availability and reliability of a distributed search system
Produce high-quality results by contributing heavily to team projects that have a significant impact on the business
Actively own team features or systems and define their long-term health
Improve the health of surrounding systems
Deploy, configure, test, troubleshoot, maintain, upgrade Solr clusters and environments
Plan resources and continuously optimize the infrastructure and configuration of our Solr clusters to maintain cluster health and search performance
Assist support and operations teams in triaging and resolving production issues
Mentor other engineers and deeply review code
Improve engineering standards, tooling, and processes
Requirements
3+ years of experience in building web applications and operating large scale distributed systems
Worked 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 — e.g., PHP, Python, Ruby, Go, C, or Java
Track record of developing high-availability, performant, and scalable systems accessing large volumes of data over multiple clusters across different geographical regions
Experience planning, implementing, and deploying software migrations and upgrades in a production environment
Ability to contribute to technical architecture discussions and help drive technical decisions within the team
Strong communicator capable of explaining complex technical concepts to diverse audiences
Knowledge of computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval
Bachelor's degree in Computer Science, Engineering or related field, or equivalent training, fellowship, or work experience required