At a Glance
- Tasks: Design and develop high-throughput, real-time data platforms using Go.
- Company: Leading software engineering firm in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team tackling large-scale data challenges and make a real impact.
- Qualifications: Proficiency in Go and strong backend systems experience required.
- Other info: Collaborative environment with a focus on enhancing system performance.
The predicted salary is between 48000 - 72000 £ per year.
A leading software engineering firm in Greater London is looking for a Senior Consultant - Software Engineering to contribute to building high-throughput, real-time data platforms. The ideal candidate will bring proficiency in Go and strong experience in backend systems.
Your role will involve:
- Designing backend services
- Making technical decisions
- Collaborating closely with product and data teams to enhance system performance
If you're passionate about solving large-scale data challenges, apply now!
Go Backend Lead - Real-Time, High-Throughput Data employer: Orbis Group
Contact Detail:
Orbis Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Go Backend Lead - Real-Time, High-Throughput Data
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Go projects and any backend systems you've designed. This will give potential employers a taste of what you can bring to the table and set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge, especially around real-time data platforms and high-throughput systems. Practice common interview questions and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Go Backend Lead - Real-Time, High-Throughput Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Go and backend systems. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about real-time data platforms and how you can contribute to our team. Keep it engaging and personal.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled large-scale data challenges in the past. We love seeing candidates who can think critically and innovate!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss any important updates from our team!
How to prepare for a job interview at Orbis Group
✨Know Your Go
Make sure you brush up on your Go programming skills before the interview. Be ready to discuss your experience with backend systems and how you've used Go to solve real-time data challenges. Prepare to showcase specific projects where you’ve designed backend services.
✨Understand the Company’s Tech Stack
Research the company’s existing platforms and technologies. Familiarise yourself with their approach to high-throughput data processing. This will not only help you answer questions more effectively but also show your genuine interest in their work.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving abilities and decision-making skills. Practice coding problems related to backend development and be ready to explain your thought process. It’s all about demonstrating your expertise and how you tackle large-scale data challenges.
✨Show Your Collaborative Spirit
Since the role involves working closely with product and data teams, be prepared to discuss your experience in collaboration. Share examples of how you’ve worked with cross-functional teams to enhance system performance and deliver successful projects.