Technical Services Engineer (Search)

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data.

We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI.

Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure.

Atlas allows customers to build anywhere on the edge, on premises, or across cloud providers. With offices worldwide and over 175,000 developers joining MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.

The Technical Services team works with our customers to ensure that their MongoDB deployments are running at their best. From a query performance question on a test Atlas cluster to helping upgrade large self-hosted sharded clusters run by some of the world's best-known global enterprises, the Technical Services team is available 24 / 7 to help our customers with any aspect of the MongoDB data platform.

This deeply technical team is distributed globally, with a variety of backgrounds and expertise to ensure that they can best address any new issue or question.

In addition to solving these complex customer challenges, the team also works on internal projects such as software development of support tools for performance tuning, benchmarking, and diagnostics.

As MongoDB continues to expand product offerings and features within the MongoDB Atlas Data Platform, MongoDB is looking for a Technical Services Engineer with a background in application search, as well as search-related technologies, who will also provide specialized support for our Atlas Search and Vector Search products.

Job Description

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 in all-things-search, you will be advising MongoDB field teams on Atlas Search and Vector Search issues, and helping with technical enablement in those areas.

You will utilize your exceptional analytical skills and customer service to ensure that MongoDB users are successful with our suite of MongoDB application-layer products.

We’re looking for individuals who want to dig into the details of how big data and web-scale systems are successfully assembled and operated every day by organizations of every size and flavor.

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
24 days ago