Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Enhance reliability and scalability of real-time data systems while managing live incidents.
- Company: Leading financial data firm in London with a focus on innovation.
- Benefits: Competitive salary, collaborative environment, and opportunities for impactful contributions.
- Why this job: Make critical contributions to global financial data systems and work with cutting-edge technology.
- Qualifications: Experience in object-oriented programming, especially Python or C++, and a commitment to software quality.
- Other info: Join a dynamic team with excellent career growth potential.
The predicted salary is between 48000 - 72000 £ per year.
A leading financial data firm in London seeks a Senior Software Engineer/SRE to enhance the reliability and scalability of their real-time data distribution systems. The role involves managing live incidents, building monitoring tools, and developing software solutions in a collaborative team environment.
Ideal candidates will have experience in object-oriented programming, particularly in Python or C++, and a focus on software quality. This position offers the opportunity to make critical contributions to systems serving global financial data.
Senior Real-time Data SRE - Scale & Reliability (London) employer: Bloomberg L.P.
Contact Detail:
Bloomberg L.P. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Real-time Data SRE - Scale & Reliability (London)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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 projects, especially those involving real-time data systems or monitoring tools. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills in Python or C++. Practice common algorithms and system design questions, as these are often key in SRE roles. We recommend using platforms that offer mock interviews to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage with us directly.
We think you need these skills to ace Senior Real-time Data SRE - Scale & Reliability (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in real-time data systems and your programming skills in Python or C++. We want to see how your background aligns 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! Use it to explain why you’re passionate about enhancing reliability and scalability in financial data systems. Share specific examples of how you've tackled similar challenges in the past.
Showcase Your Problem-Solving Skills: In your application, highlight instances where you've managed live incidents or built monitoring tools. We love candidates who can demonstrate their ability to think on their feet and develop effective solutions under pressure.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right team!
How to prepare for a job interview at Bloomberg L.P.
✨Know Your Tech Inside Out
Make sure you brush up on your object-oriented programming skills, especially in Python or C++. Be ready to discuss your past projects and how you've tackled challenges related to software quality and reliability.
✨Showcase Your Incident Management Skills
Prepare examples of how you've managed live incidents in the past. Discuss the tools you used for monitoring and how you ensured minimal downtime. This will demonstrate your hands-on experience and problem-solving abilities.
✨Collaborate Like a Pro
Since this role involves working in a team environment, be ready to talk about your collaborative experiences. Share specific instances where you worked with others to enhance system performance or resolve issues.
✨Understand the Financial Data Landscape
Familiarise yourself with the financial data industry and the importance of real-time data distribution systems. Showing that you understand the context of the role will set you apart from other candidates.