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MongoDB Technical Services Engineer Lucene/ELK/Solr/Search expert 
Ireland, Dublin 
72353058

24.06.2024

As a Technical Services Engineer, you’ll be advising customers on strategies and documented practices for making best use of our data platform. This will require you to translate technical concepts and patterns into generalist’s terms for our customers, helping them understand, install, and use those applications effectively. You’ll also troubleshoot application problems and be an advocate for our users’ needs, collaborating with the MongoDB product management and development teams on their behalf. As a Technical Expert inall-things-search, you will be advising MongoDB field teams on Atlas Search and Vector Search issues, and helping with technical enablement in those areas.


As an ideal candidate, you will have

We consider all candidates with an eye for those who are self taught, curious, and multi-faceted. Our ideal associate candidate should also have:

  • 5+ years of relevant experience, and 3+ years of search expertise (Elasticsearch (ELK Stack), Lucene, Solr or similar)
  • 5+ years of experience with administering RDBMSs such as Oracle, Postgres, mySQL etc. MongoDB experience is preferred.
  • Experience with Database Performance tuning and benchmarking
  • Strong diagnostic/troubleshooting aptitude, with significant experience troubleshooting end-to-end technical issues in production environments
  • Solid fundamentals in Linux, Networking, and Diagnostics
  • Experience with scalable and highly available distributed systems
  • Excellent written and verbal communication skills in English
  • Patience, empathy and a genuine desire to help people
  • Ability to think on your feet, remain calm under pressure, and solve problems in real-time
  • A B.Tech / B.S. or equivalent work experience; if you don’t have a Computer Science degree, but think you can do the job, apply anyway!
You may also have
  • Experience with Algolia, Lucidworks, Pinecone, Milvus, or similar
  • Experience with database programming and data models
  • Advanced experience with Operating System and Networking Core concepts
  • Certifications - MongoDB, RHCE, Cloud Provider Certifications
  • Previous SaaS Support Experience
  • Experience creating Generative AI applications, familiarity with LLMs, Vector Stores, and the latest GenAI paradigms
What you do at MongoDB
  • Support and guide our strategic customers, focus on day-to-day resolution and proactively drive progress
  • Work closely with your team and our customers to identify, characterize, solve & recover from problems raised to the Technical Support team
  • Resolve technical issues through diligent research, reproduction, and troubleshooting, log and server analysis using industry standard as well as bespoke in house developed tools
  • Build and create standard methodologies for technical troubleshooting across different technologies, and craft Knowledge Articles that contribute to our self-serve support portal
  • Review and test new features before they are publicly available, including creating internal and customer facing assets, such as knowledge base articles or FAQs
  • Proactively identify improvement to business processes and policies to solve problems and get things done
  • Be an advocate for customers’ needs.
  • Gather feedback from customers and engage the engineering, product, sales and marketing teams to improve our product through regular touchpoints and data driven reporting from the field
  • Act as focal point and technical subject-matter-expert for assigned customers and their application deployments in Atlas
  • Coach and mentor junior engineers on the team in new or emerging product areas, as well as cross-training peers in specialty topics
What you will learn

The rapidly growing MongoDB product suite, including:

  • Core database server
  • Atlas (fully managed cloud database service)
  • Atlas Full-Text Search, Atlas Vector Search, Atlas Data Lake, Realm and Charts
  • Other Tools and connectors - Ops/Cloud Manager, Compass, Connector for BI, Connector for Spark
  • Market-relevant, complementary technologies e.g. Apache Kafka, Kubernetes
  • Modern and popular architecture design patterns, methodologies and concerns e.g. microservices, DevOps, cloud, security