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- Tasks: Support the design and performance tuning of a Graph-Powered Fraud Investigation Platform.
- Company: Harvey Nash, a leader in tech recruitment with a focus on innovation.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Why this job: Join a critical project that makes a real difference in fraud investigation.
- Qualifications: Experience in DevOps, Linux, Kubernetes, AWS, and coding in Python or Go.
- Other info: Must hold UK SC Clearance or be eligible for vetting; dynamic team environment.
The predicted salary is between 36000 - 60000 £ per year.
Harvey Nash is now inviting candidates to apply for the role of Graph Platform Engineer.
Initial 3 months (could extend) Hybrid to London Inside of IR35 Early 2026 start date.
This resource will support the infrastructure design, configuration, performance tuning, definition of standards and best practices for a critical Graph-Powered Fraud Investigation Platform.
Must hold active UK SC Clearance or be willing or eligible to undergo the vetting process.
Candidates must have the following experience:
- Experience in DevOps, Platform Engineering.
- Strong background in Linux system administration.
- Deep expertise in Kubernetes internals (schedulers, controllers, operators) and experience running production clusters at scale.
- Strong knowledge of AWS Networking (VPC design, Subnetting, Route Tables, Security Groups, Transit Gateways).
- Infrastructure as Code (IaC) using Terraform.
- Proficiency in Python or Go for writing tooling, automation scripts, and "glue" code.
- Experience with labelled property graphs and Cypher is highly desirable.
- Relevant tooling: Hume, Neo4j.
Please submit your CV for consideration.
Platform Engineer (Graph) in London employer: Harvey Nash
Contact Detail:
Harvey Nash Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Platform Engineer (Graph) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with Graph technologies. Attend meetups or webinars, and don’t be shy to slide into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Kubernetes, AWS, or any relevant tooling like Neo4j. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to DevOps and Platform Engineering. Practice explaining your thought process when solving problems, as this is often just as important as the right answer.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might not be listed elsewhere. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Platform Engineer (Graph) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Platform Engineer role. Highlight your experience with DevOps, Linux, and Kubernetes, as these are key for us. Use specific examples that showcase your skills in infrastructure design and performance tuning.
Showcase Your Technical Skills: Don’t just list your skills; demonstrate them! Include projects or experiences where you’ve used AWS Networking, Terraform, or Python/Go. This helps us see how you can contribute to our Graph-Powered Fraud Investigation Platform.
Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s relevant. Make it easy for us to see why you’re a great fit for the role!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss any important updates from us. Plus, it’s super easy!
How to prepare for a job interview at Harvey Nash
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Kubernetes, AWS Networking, and Infrastructure as Code. Be ready to discuss your experience with these technologies in detail, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex issues in previous roles. Think about scenarios where you had to optimise performance or troubleshoot a production cluster, and be ready to explain your thought process.
✨Familiarise Yourself with Graph Databases
Since the role involves working with labelled property graphs and Cypher, it’s a good idea to brush up on these topics. If you have experience with Neo4j or similar tools, be prepared to discuss how you've used them in past projects.
✨Be Ready for Scenario-Based Questions
Expect questions that assess your practical skills and decision-making abilities. Prepare for hypothetical scenarios related to platform engineering and DevOps, and think through how you would approach them, especially in a hybrid environment.
