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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 real-time data challenges with a passionate engineering team.
- Qualifications: Strong Go experience and a solid background in scalable backend systems.
- Other info: Collaborative environment with a focus on clean engineering practices.
The predicted salary is between 36000 - 60000 £ per year.
We are hiring an experienced Go Engineer to help build and scale high-throughput, real-time data platforms. You will 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 and improving system performance
- Integrating multiple external data and API sources
- Writing scalable, well-tested, maintainable Go code
- Collaborating with data and infrastructure teams
What you’ll bring:
- Strong experience building scalable, reliable backend systems
- Proficiency in Go
- Experience with relational and non-relational databases (PostgreSQL and Redis is a big plus)
- Solid testing mindset (unit, integration, E2E)
Nice to have:
- Experience with websockets, streaming, and queues
- Real-time data platforms
- Interest in fintech and 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 England employer: Orbis Group
Contact Detail:
Orbis Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Golang Engineer in England
✨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 insider info about job openings that aren't even advertised yet.
✨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 explaining your thought process clearly, as communication is key when collaborating with product and data teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Golang Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with scalable backend systems and Go. 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 building high-throughput services and how your background makes you a great fit for our team. Keep it engaging and personal.
Showcase Your Technical Skills: When applying, be sure to mention your proficiency in Go and any experience with databases like PostgreSQL and Redis. We love seeing examples of your clean engineering practices and testing mindset!
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 programming skills before the interview. Be ready to discuss your experience with building scalable backend systems and be prepared to write some code on the spot. Practising common Go patterns and idioms will help you shine.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles, especially those involving real-time data platforms. Use the STAR method (Situation, Task, Action, Result) to structure your answers and demonstrate how you tackled complex problems effectively.
✨Familiarise Yourself with Databases
Since experience with relational and non-relational databases is a big plus, make sure you can discuss your familiarity with PostgreSQL and Redis. Be ready to explain how you've used these technologies in past projects and how they contributed to system performance.
✨Collaborate and Communicate
As you'll be working closely with product and data teams, highlight your collaboration skills. Prepare examples of how you've successfully worked with cross-functional teams in the past, and be ready to discuss how you approach technical decisions and improve system performance.
