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For Companies At a Glance
- Tasks: Build and maintain tools for real-time data infrastructure, ensuring reliability and observability.
- Company: Join Bloomberg, a leader in financial data and technology, shaping the future of market insights.
- Benefits: Enjoy competitive pay, flexible working options, and a vibrant company culture.
- Why this job: Be part of a mission-driven team that impacts global decision-making with cutting-edge technology.
- Qualifications: Degree in Computer Science or related field; experience in Python or C++ required.
- Other info: Participate in a global support model, enhancing your skills in a dynamic environment.
The predicted salary is between 43200 - 72000 £ per year.
Senior Software Engineer/SRE – Observability
Location
London
Business Area
Engineering and CTO
Ref #
10044717
Description & Requirements
The Role
As a Senior Software Engineer/SRE in Bloomberg’s Market Data group, you’ll help ensure our real-time data infrastructure is reliable, automated, and observable at massive scale. Our systems process hundreds of billions of financial ticks per day and deliver them to clients within milliseconds—where accuracy, availability, and latency are non-negotiable. Your focus will be building tools, systems, and models that expose and improve the health of this infrastructure across the globe.
The Team
Platform Observability sits at the heart of Bloomberg’s Market Data operations. Our mission is to make decision-making across Market Data intelligent and data-driven. To do that, we build the systems that model metadata across thousands of components in our Market Data Pipeline.
We design and maintain the Market Data Ontology and Knowledge Graph, enabling rich context, traceability, and insight across the platform. Our systems power operational awareness, automation, and strategic investment decisions. We partner across engineering, platform, and infrastructure to define standards, surface gaps, and drive reliability across one of the world’s most critical real-time data platforms.
What You’ll Do
- Expand and maintain the Market Data Pipeline Ontology, our semantic model for system metadata.
- Build and extend ETL plugins that collect, transform, and aggregate metadata from key systems.
- Develop intuitive GUIs and interfaces to expose system insights and relationships to users.
- Define and implement SLOs and SLIs to help the broader group measure and improve reliability.
- Develop tools and solutions designed to enhance impact analysis and minimise outage time.
- Work with teams across the Market Data organization to improve system architecture and metadata quality.
- Participate in our escalation rotation (business hours only) as part of a global follow-the-sun support model.
You’ll Need to Have
- A degree in Computer Science, Engineering, Mathematics, or equivalent practical experience
- Commercial experience and proficiency in Python or C++
- Experience designing, scaling, and operating distributed systems.
- Strong collaboration and communication skills—especially across infrastructure, SRE, and product teams.
We’d Love to See
- Experience with semantic technologies: ontologies, RDF, or graph databases (e.g., Neo4j, RDF4J).
- Familiarity with ETL or EIS platforms like Apache Camel or Airflow.
- Knowledge of financial market data, especially around latency, availability, and correctness.
- Experience building or contributing to observability platforms or knowledge graph tooling.
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Senior Software Engineer/SRE - Observability (London) employer: Avature
Contact Detail:
Avature Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer/SRE - Observability (London)
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, C++, and semantic technologies like RDF or graph databases. Having hands-on experience or projects that showcase your skills in these areas will make you stand out.
✨Tip Number 2
Network with current or former employees of Bloomberg, especially those in the Market Data group. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your experience with distributed systems and observability platforms during interviews. Be ready to share specific examples of how you've improved system reliability or performance in past roles.
✨Tip Number 4
Stay updated on trends in financial market data and observability practices. Demonstrating your knowledge of industry standards and challenges can show your passion for the role and the field.
We think you need these skills to ace Senior Software Engineer/SRE - Observability (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in software engineering and site reliability engineering. Emphasise your proficiency in Python or C++, and any experience with distributed systems, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for observability and real-time data infrastructure. Mention specific projects where you've built tools or systems that improved reliability or performance, showcasing your problem-solving skills.
Highlight Relevant Skills: Clearly outline your experience with semantic technologies, ETL platforms, and any knowledge of financial market data. This will demonstrate your fit for the role and your understanding of the industry.
Showcase Collaboration Experience: Since strong collaboration is key for this position, include examples of how you've worked effectively with cross-functional teams. Highlight any instances where you’ve partnered with infrastructure or product teams to drive improvements.
How to prepare for a job interview at Avature
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python or C++, as well as your understanding of distributed systems. Bring examples of projects where you've designed or operated such systems, and be ready to explain your thought process.
✨Demonstrate Your Problem-Solving Abilities
Expect to face scenario-based questions that assess your ability to troubleshoot and resolve issues in real-time data infrastructure. Think about past challenges you've encountered and how you overcame them, particularly in high-stakes environments.
✨Highlight Collaboration Experience
Since the role involves working across various teams, share specific instances where you've successfully collaborated with infrastructure, SRE, or product teams. Emphasise your communication skills and how they contributed to project success.
✨Familiarise Yourself with Semantic Technologies
If you have experience with ontologies, RDF, or graph databases, make sure to mention it. Even if you don't, do some research on these topics so you can speak knowledgeably about their relevance to the role and how they can enhance observability.
