Design and develop scalable, resilient offline indexing pipelines that process and transform data for Slack's search infrastructure
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
You’ll produce high-quality results by contributing heavily to team projects that have a significant impact on the business
You’ll actively own team features or systems and define their long-term health, while also improving 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
You'll assist our skilled support team and operations team in triaging and resolving production issues
You'll collaborate with other engineers and deeply review code
You’ll improve engineering standards, tooling, and processes

Requirements

3+ years of experience
Have worked extensively with distributed data processing frameworks such as Spark, Hadoop, Map/Reduce, or EMR
Have worked with Solr, ElasticSearch, Lucene, or other search technology
Have had exposure to infrastructure/ops tools and frameworks such as Terraform, Chef, and Kubernetes
You are 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
Have experience planning, implementing, and deploying software migrations and upgrades in a production environment
You can contribute to technical architecture discussions and help drive technical decisions within your team
You write understandable, testable code with an eye towards maintainability
You are a strong communicator
possess 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

Benefits

time off programs
medical
dental
vision
mental health support
paid parental leave
life and disability insurance
401(k)
employee stock purchasing program

Applicant Tracking System Keywords

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

Hard Skills & Tools

distributed data processingSolrElasticSearchLuceneSparkHadoopMap/ReduceTerraformChefKubernetes

Soft Skills

strong communicatorcollaborationproblem-solvingteamworktechnical architecture discussionscode reviewownershipimproving engineering standardsmaintainabilityhigh-quality results

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Engineeringequivalent trainingfellowshipwork experience