AI/ML - Data Infrastructure Solr/Search Engineer, Search & Knowledge Platform in Seattle, WA
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Job Description You will be responsible for the Search Infrastructure that powers the Virtual Assistant Data teams for analytics and machine learning. Our infrastructure supports millions of AI/ML users at 100+ PB scale. To run our environment efficiently, we drive for proper monitoring, alerting and automation. The team’s goal is to ensure the reliability and performance at the highest level.
Job Summary Data Infrastructure team within the organization powers analytics, experimentation and ML feature engineering to power virtual assistant we all love in our devices. The mission of the Data Infrastructure org is to provide our engineers and data scientists a cutting edge, reliable and easy to use infrastructure for ingesting, storing, processing and interacting with data and ultimately help the teams that build data intensive applications be successful. You will work with many cross functional teams and lead the planning, execution and success of technical projects with the ultimate purpose of improving the virtual assistance experience for customers. We are looking for engineers who want to bring their passion for infrastructure to build world class infrastructure products. Are you a passionate about building scalable, reliable, maintainable infrastructure and solving data problems at scale? Come join us and be part of the Data Infrastructure journey. Responsibilities
Manage and operate our search infrastructure that is built on top of SolrCloud
Collaborate across AI/ML teams to analyze and optimize their search and indexing needs for different forms of data
Diagnose, fix, improve, and automate complex issues across the search stack to ensure maximum uptime and performance
Establish SLA’s for all indexing and search use cases in production
Write code, documentation, participate in code reviews, and mentor other engineers
Required Skillset
Must have 5+ years of infrastructure and Solrcloud experience.
Passionate about Data Processing and Search Technologies
5+ years of experience configuring, scaling, and troubleshooting search infrastructure (Solr, Elastic Search, Lucene API, etc)
Experience with alerting, monitoring and remediation automation in a large scale distributed environment
Programming experience in Java, Python, or similar languages
BS, MS, or PhD degree in Computer Science or equivalent experience
Desirable Skillset
Experience with AWS and Kubernetes is a big plus
Location: Seattle, WA (Onsite, Remote to start) Type: Contract Duration: 5+ months
Allow your passion for improving lives to shine in this role where you’ll be responsible for customer relationship management through the effective use of technical knowledge to install, troubleshoot, service, and maintain equipment at customer sites.