Neo4j

Software Engineer - Cloud Security

Malmo, Sweden
Kubernetes Azure AWS GCP Go Python
Description
About Neo4j:

Neo4j is the leader in Graph Database & Analytics, helping organizations uncover hidden relationships and patterns across billions of data connections deeply, easily and quickly. Customers use Neo4j to gain a deeper understanding and reveal new ways of solving their most pressing problems. Over 75% of Fortune 100 companies use Neo4j, along with a vibrant community of 250,000+ developers, data scientists, and architects across the globe.

At Neo4j, we’re proud to be building the technology that powers breakthrough solutions for our customers, helping them cure diseases, fight fraud, crush pandemics, and accomplish their most ambitious missions—even if it’s getting humans to Mars. Learn more at neo4j.com and follow us @Neo4j.

 
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:

The cloud offering from Neo4j is called Aura and we are now looking to expand our Aura team with more skilled persons. Aura as of today is running more than 400 managed Kubernetes clusters in production across multiple CSPs and we need to expand our knowledge and capacity within Cloud security further.

Now we are looking for experienced Software Engineers with Cloud Security expertise to join us to develop the platform to meet current and future needs within the Cloud security area.

What you will do:

  • Collaborate with other teams to define and implement Cloud/K8s native policies and procedures (i.e. Admission Controllers, OPA, Pod Security Standards). 
  • Develop cloud-native controls in Azure, AWS and/or GCP to enforce the security baseline at scale, integrating with open-source and vendor tools as needed.
  • Enhance product security along the software development lifecycle by creating “paved roads” and defining additional security and software excellence requirements for containerised services running on multiple managed Kubernetes clusters.
  • Act as a subject matter expert for the Platform and Engineering teams by providing guidance on cloud and k8s services, secure infrastructure-as-code, modern secure AuthZ/AuthN techniques and secrets management solutions. 
  • Participate in conducting security assessments, audits and architecture reviews in order to introduce new cloud controls in the platform and make recommendations to improve the overall security posture.
  • Support the incident detection and response process by maintaining cloud monitoring and alerting tooling and developing scripts needed for troubleshooting and resolution of incidents and security issues.
  • Support compliance initiatives and certifications for cloud environments.

The ideal candidate would have experience in:

  • Experience with Containers, Kubernetes, Infrastructure-as-Code and programming languages like Go and/or Python.
  • An active interest and background in Cloud, Infrastructure and Network security.
  • Proven experience in a security engineering role with hands-on technical involvement, and exposure to decision making processes.

 

Why Join Neo4j?

Neo4j is, without question, the most popular graph database in the world. We have customers in every industry across the globe, 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. Well over $100M ARR and still rapidly growing.
  • Raised biggest round of funding in all of database history ($325M Series F).
  • Backed by world class investors like Google Ventures (GV), Neo4j has raised over $582M in funding and is currently valued at $2Bn. This  puts them among the most well-funded database companies in history.
  • 75% of Fortune 100 use Neo4j with more than 800 enterprise customers including Comcast, eBay, Adobe, Lyft, UBS, IBM, Volvo Cars and many more.
  • Emil Eifrem (CEO) has built an amazing culture that prides itself on relationships, inclusiveness, innovation and customer success.
  • Countless awards in the industry. Massive Enterprises and individual developers/ data scientists love Neo4j. Strong sense of community and ecosystem is built around the platform.
  • A recent Forrester Total Economic Impact Study pegged Neo4j as delivering 417% ROI to customers.

Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all of the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. 

One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application.

Neo4j Values:

Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values:

(we)-[:VALUE]->(relationships)
(we)-[:FOCUS_ON]->(userSuccess)
(we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]})
(we)-[:ASSUME]->(:Intent {direction:’Positive’})
(we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’})
(we)-[:DELIVER_ON]->(ourCommitments) 

Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. 

More information at www.neo4j.com.
Neo4j
Neo4j
Analytics Business Information Systems Data Visualization Database Machine Learning

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