At a Glance
- Tasks: Join Bloomberg to enhance real-time data infrastructure and build impactful tools for global operations.
- Company: Bloomberg is a leading financial data and analytics company, known for innovation and reliability.
- Benefits: Enjoy a collaborative culture, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a mission-driven team that shapes intelligent decision-making in the financial sector.
- Qualifications: Degree in Computer Science or related field; proficiency in Python or C++ required.
- Other info: Bloomberg values diversity and is committed to an inclusive workplace.
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.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
#J-18808-Ljbffr
Senior Software Engineer/SRE - Observability London, GBR Posted today employer: Bloomberg L.P.
Contact Detail:
Bloomberg L.P. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer/SRE - Observability London, GBR Posted today
✨Tip Number 1
Familiarise yourself with Bloomberg's Market Data Pipeline and its architecture. Understanding how their systems process financial data will give you an edge in interviews, as you'll be able to discuss specific challenges and solutions relevant to the role.
✨Tip Number 2
Brush up on your knowledge of semantic technologies and graph databases. Since the role involves working with ontologies and metadata, being able to speak confidently about these topics will demonstrate your expertise and interest in the position.
✨Tip Number 3
Network with current or former employees of Bloomberg, especially those in the Market Data group. They can provide insights into the company culture and the specific skills that are valued, which can help you tailor your approach during the application process.
✨Tip Number 4
Prepare to discuss your experience with distributed systems and observability platforms. Be ready to share examples of how you've improved system reliability or performance in past roles, as this will align closely with the responsibilities of the position.
We think you need these skills to ace Senior Software Engineer/SRE - Observability London, GBR Posted today
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the responsibilities and requirements of the Senior Software Engineer/SRE position. Highlight your relevant experience in building tools, systems, and models that improve infrastructure health.
Tailor Your CV: Customise your CV to reflect your experience with Python or C++, distributed systems, and any relevant semantic technologies. Make sure to include specific projects or achievements that demonstrate your skills in observability and data management.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the role. Discuss your experience with ETL processes, operational awareness, and collaboration across teams. Show enthusiasm for Bloomberg's mission and how you can contribute to their Market Data operations.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. Ensure that your application is clear, concise, and professional, as attention to detail is crucial in this field.
How to prepare for a job interview at Bloomberg L.P.
✨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, scaled, or operated such systems, and be ready to explain your thought process.
✨Demonstrate Collaboration Abilities
Since strong collaboration is key for this role, think of specific instances where you've worked effectively with cross-functional teams. Highlight how you communicated technical concepts to non-technical stakeholders and how you contributed to team success.
✨Familiarise Yourself with Semantic Technologies
Brush up on your knowledge of ontologies, RDF, and graph databases like Neo4j. Be ready to discuss how these technologies can enhance observability and data management in a real-time data environment.
✨Prepare Questions About the Role
Have insightful questions ready about the Market Data Pipeline Ontology and the tools you'll be working with. This shows your genuine interest in the position and helps you understand how you can contribute to the team's goals.