Software Engineering Summer Internship - Customer Support Operations & Supportability
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Software Engineering Summer Internship - Customer Support Operations & Supportability
Malmö ,
AI overview
Work with the Customer Support Operations Team to design and build a new application that enhances observability of code changes, improving diagnostics and service delivery for the global customerbase
About Neo4j:
Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter.
Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business.
Our Vision:
At Neo4j, we have always strived to help the world make sense of data.
As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive.
The Team:
Neo4j Customer Support Operations is a highly effective part of Neo4j’s Field Engineering organisation and provides a key foundation for the long-term success and satisfaction of our growing customer base. Neo4j Customer Support Operations serves as an interface between traditional Customer Support and Product Engineering teams to develop subject matter expertise within Customer Support, as well as developing highly-customised tools and processes to accelerate and enhance our overall service delivery.
For a number of years, we have partnered with our Product Engineering Team to deliver a series of bespoke applications that are now used across the company on a daily basis as part of our collective work in supporting the global Neo4j customer base.
The Role:
The Customer Support Operations Team is responsible for the development and maintenance of our flagship Neo4j CODEX application. (Not related to OpenAI CODEX!)
This started as a Summer Engineering Internship project 3 years ago, and has since grown in functionality and usage to be the technical diagnostics hub for all of our Support, Field Engineering, and Product Engineering Teams. Diagnostic information such as logs and metrics are collected from customer systems, processed automatically in our fully bespoke analysis engine and potential issues are identified.
Last year, our previous interns rebuilt our neoDAVE application which provides a graph-based solution to track product versions, vulnerabilities, changelogs, and compatibility information between our different products. This application is being integrated with the wider CODEX ecosystem.
Historically, we had another intern project called NeoNora that was centred around a Github bot that tracked product code changes and pull requests to provide insights to which Neo4j Server versions these product changes appear in. This product was essential as it helped engineers across the company understand changes that could appear in both a 4.x and 5.x product release, and advise our customers which versions they could upgrade to in order to receive a specific upgrade.
This year we would like to invite our Engineering Interns to work with our Customer Support Operations Team in deg and building a new application that would replace NeoNora and integrate with neoDAVE and CODEX bring code change tracking into the full CODEX ecosystem and provide our engineers with enhanced observability of code changes and versions.
The end goal is that a user would be able to seamlessly navigate from understanding a customer issue, through the diagnostic analysis, to identifying the root cause and any existing code fix that may exist, and understanding which releases the customer woul