Fullstack Software Engineer - Benchmarking
Description
Open menu
For Employers
Close menu
Existing customer?
Fullstack Software Engineer - Benchmarking
Malmö ,
AI overview
Contribute to a full-stack benchmarking product by collaborating with engineering teams and developing high-performance Java code to enhance regression detection.
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 Role
The Benchmarking team operates internally, collaborating with all other engineering teams as its clients. This team is responsible for maintaining the benchmarking infrastructure, enabling other teams to benchmark products and detect regressions effectively.
We oversee a full-stack product that encompasses a backend with a database, infrastructure, and software, along with a frontend interface named "Alacrity." Alacrity allows teams to schedule benchmarking runs and view both new and historical results. Our focus extends to developing algorithms for automatic regression detection and identifying bottlenecks in flame graphs, among other tasks. Furthermore, we serve as advocates for understanding Java internals and crafting high-performance Java code, actively collaborating with other teams to identify their needs and support their development efforts.
We are currently seeking a Full Stack Engineer to join our team and contribute to both the Java backend and the benchmarking results frontend.
What we are looking for
- Professional experience with web development and modern architecture (React-based and similar)
- UI/UX design and sense of esthetics
- Professional experience with Java development
- People-oriented approach.
- Comfortable with working with a distributed team
- Proficiency with web development tools such as Git, NPM, etc
- Significant engineering experience in any language (Javascript, Ruby, Python, Java, etc).
- Comfortable in a UNIX/Linux environment.
- Professional experience working with ClojureScript (or willing to learn ClojureScript).
Nice to have
- Experience working with performance testing
- Experience with AWS infrastructure
- Experience working with TeamCity CI
#LI-Hybrid
Why Join Neo4j?
Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j.
- Neo4j is one of the fastest-scaling technology companies in this industry. It in annual recurring revenue (ARR), doubling its ARR
- Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history.
- 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include [Boston Scientific](https://neo4j.com/case-studi