At a Glance
- Tasks: Design and build high-throughput backend services for real-time data platforms.
- Company: Dynamic fintech company focused on innovative data solutions.
- Benefits: Competitive salary, onsite collaboration, and opportunities for professional growth.
- Why this job: Join a collaborative team and tackle exciting real-time data challenges.
- Qualifications: Strong Go experience and a passion for building scalable systems.
- Other info: Great opportunity to work in a fast-paced, tech-driven environment.
The predicted salary is between 43200 - 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 City of 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 City of 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 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 coding challenges that focus on backend systems, as this will help you shine during the interview process.
✨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 application to highlight your experience with scalable systems and real-time data platforms.
We think you need these skills to ace Senior Golang Engineer in City of 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! Tell us 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 Technical Skills: When filling out your application, be specific about your proficiency in Go and any experience with databases like PostgreSQL and Redis. We love seeing concrete examples of your work, so don’t hold back!
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 related to real-time data processing. 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 PostgreSQL and Redis is a big plus, make sure you can discuss your familiarity with these databases. Be ready to explain how you've used them in past projects, including any performance improvements you implemented.
✨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 in cross-functional teams and how you communicate technical concepts to non-technical stakeholders.