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- Tasks: Build and scale high-performance backend systems for global trade data.
- Company: Join a dynamic logistics data platform with startup agility and enterprise stability.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact on global efficiency using advanced AI and machine learning.
- Qualifications: Experience in backend development with C#, Java, or Go in cloud environments.
- Other info: Collaborate with data scientists and optimise systems for complex datasets.
The predicted salary is between 36000 - 60000 £ per year.
You will build and scale high-performance backend systems that process vast amounts of global trade and logistics data. By leveraging advanced machine learning and modular architectures, you will develop robust APIs and SDKs that empower industry professionals to make complex, data-driven decisions through real-time insights and deep analytical capabilities.
Location: Remote
Why this role is remarkable:
- Work on a sophisticated data engine that combines public and private data flows using advanced AI and machine learning.
- Join a well-funded technology arm of a larger enterprise group with the agility of a startup and the stability of an established leader.
- Impact global efficiency by building modular backend components that are directly embedded into client system topologies worldwide.
What you will do:
- Design, develop, and maintain scalable backend services and APIs using modern cloud-native technologies.
- Collaborate with data scientists to integrate machine learning models into production-grade data pipelines.
- Optimize system performance and reliability to handle complex datasets and high-concurrency user requests.
The ideal candidate:
- Strong experience in backend development with languages such as C#, Java, or Go in a cloud environment.
- Proven track record of building and maintaining complex APIs and distributed systems at scale.
- Deep understanding of database management, data architecture, and modern software engineering best practices.
Backend Engineer at Global logistics data platform employer: Jack & Jill/External Ats
Contact Detail:
Jack & Jill/External Ats Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Backend Engineer at Global logistics data platform
✨Tip Number 1
Get to know Jack! He’s your go-to AI for understanding your skills and career goals. A quick chat with him can help tailor your job search and make sure you’re in the loop for roles that fit you perfectly.
✨Tip Number 2
Don’t just sit back and wait for opportunities to come to you. Actively engage with our platform and keep an eye on new listings. The more proactive you are, the better your chances of landing that dream job!
✨Tip Number 3
When you talk to Jack, be open about your experiences and what you’re looking for. The more he knows, the better he can match you with Jill’s clients. It’s all about making those connections work for you!
✨Tip Number 4
Remember, applying through our website is key! It streamlines the process and ensures that Jill sees your application. Plus, it’s free and easy – so why not give it a go?
We think you need these skills to ace Backend Engineer at Global logistics data platform
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your backend development experience, especially with languages like C#, Java, or Go. We want to see how you've built and maintained complex APIs and distributed systems, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this role. Mention how your experience aligns with building scalable backend services and integrating machine learning models. It shows us you’re genuinely interested in the position!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Avoid jargon unless it’s relevant to the role – we want to understand your experience without getting lost in technical terms.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way to ensure Jack gets your application and can help you through the process. Plus, it’s super easy – just click 'Talk to Jack' and let’s get started!
How to prepare for a job interview at Jack & Jill/External Ats
✨Know Your Tech Stack
Make sure you’re well-versed in the languages and technologies mentioned in the job description, like C#, Java, or Go. Brush up on your cloud-native tech knowledge and be ready to discuss how you've used these tools in past projects.
✨Showcase Your API Experience
Prepare specific examples of APIs you've built or maintained. Be ready to explain the challenges you faced and how you optimised performance. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand Data Architecture
Since this role involves handling complex datasets, make sure you can talk about your understanding of database management and data architecture. Bring examples of how you've designed systems that efficiently manage large volumes of data.
✨Collaborate and Communicate
Highlight your experience working with data scientists or cross-functional teams. Be prepared to discuss how you’ve integrated machine learning models into production-grade pipelines, as collaboration is key in this role.