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- Tasks: Design and build high-throughput backend services for real-time data platforms.
- Company: Join a dynamic fintech company focused on innovative data solutions.
- Benefits: Competitive salary, onsite collaboration, and opportunities for professional growth.
- Why this job: Tackle exciting challenges in real-time data while working with a passionate team.
- Qualifications: Strong Go experience and a solid background in scalable backend systems.
- Other info: Collaborative environment with a focus on performance and clean engineering practices.
The predicted salary is between 48000 - 72000 £ per year.
We’re hiring an experienced Go Engineer to help build and scale high-throughput, real-time data platforms. You’ll work closely with product and data teams to design systems that reliably ingest, process, and deliver market-scale data — with a big focus on performance, resilience, and clean engineering practices.
What you’ll be doing:
- Designing and building high-throughput backend services
- Owning technical decisions + improving system performance
- Integrating multiple external data + API sources
- Writing scalable, well-tested, maintainable Go code
- Collaborating with data + infrastructure teams
What you’ll bring:
- Strong experience building scalable, reliable backend systems
- Proficiency in Go
- Experience with relational + non-relational DBs (PostgreSQL + Redis = big plus)
- Solid testing mindset (unit, integration, E2E)
Nice to have:
- Experience with websockets / streaming / queues
- Real-time data platforms
- Interest in fintech / digital assets
If you enjoy solving real-time, large-scale data challenges and want to work onsite with a collaborative engineering team — let’s chat.
Senior Golang Engineer in London employer: Orbis Group
Contact Detail:
Orbis Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Golang Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who work with Go or in fintech. A friendly chat can lead to referrals and insider info about job openings.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Go projects or contributions to open-source. This gives potential employers a taste of your coding style and problem-solving abilities.
✨Tip Number 3
Prepare for technical interviews by brushing up on system design and performance optimisation. Practice coding challenges that focus on backend systems to demonstrate your expertise in building scalable solutions.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your approach to highlight how your experience aligns with our mission in building high-throughput data platforms.
We think you need these skills to ace Senior Golang Engineer in London
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 or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about building scalable systems and how your background makes you a great fit for our team. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, mention specific challenges you've tackled in previous roles, especially those related to real-time data platforms. We love seeing how you approach problems and come up with innovative solutions!
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Orbis Group
✨Know Your Go Inside Out
Make sure you brush up on your Go knowledge before the interview. Be prepared to discuss your experience with Go, including specific projects where you've built scalable backend systems. Practise explaining your thought process when writing clean, maintainable code.
✨Showcase Your Problem-Solving Skills
Since the role involves tackling real-time, large-scale data challenges, be ready to share examples of how you've approached similar problems in the past. Think about specific scenarios where you improved system performance or integrated multiple data sources, and be prepared to walk through your solutions.
✨Familiarise Yourself with Databases
Given the emphasis on relational and non-relational databases, make sure you can discuss your experience with PostgreSQL and Redis. Be ready to explain how you've used these technologies in previous roles, and consider any challenges you faced and how you overcame them.
✨Collaborate and Communicate
This position requires working closely with product and data teams, so highlight your collaboration skills. Prepare to discuss how you've worked with cross-functional teams in the past, and think about how you can contribute to a positive team dynamic at the company.
