At a Glance
- Tasks: Enhance and maintain systems for performance metrics and client experience.
- Company: Join Bloomberg, a leader in financial technology with a diverse culture.
- Benefits: Competitive salary, health benefits, remote work options, and growth opportunities.
- Other info: Collaborate globally and develop strong communication skills in a dynamic environment.
- Why this job: Make a real impact on trading systems and client satisfaction.
- Qualifications: Experience in software development and knowledge of distributed systems.
The predicted salary is between 60000 - 80000 £ per year.
Location: London
Business Area: Engineering and CTO
Ref #: 10049287
About TRAX
TRade Automation and eXecution (TRAX) is part of Bloomberg Enterprise Products Engineering. We build trade automation solutions and multiple Execution Management Systems (EMSs) that enable clients to route orders, execute trades, and monitor outcomes across asset classes. Trading is the core action of financial markets. Once investment decisions are made, traders rely on our systems to execute and manage trades. Ensuring these systems are observable, scalable, resilient, and well‑managed from a technical risk perspective is critical — and that’s where TRAX Observability comes in.
Our work focuses on:
- Informing (or alerting) stakeholders to system performance and degradation
- Demonstrating client impact during deployments
- Identifying emerging client behaviors and future system needs
We build and maintain data infrastructure using firm-supported monitoring tools. This includes a custom telemetry platform that combines multiple data sources for advanced analysis, and a distributed trace pipeline (Argo, Spark, Solr) that processes large‑scale data for deep investigation. We also leverage tools such as Humio, Grafana, and MetricTank to support observability across the department.
Learning & Technical Growth
Work alongside experienced senior engineers with deep expertise in distributed systems, trading platforms, cloud infrastructure, and operations. You’ll gain hands‑on experience building high‑throughput metrics and observability systems.
Influence & Visibility
Observability is central to system reliability and client experience. Your work will directly impact the stability of key Bloomberg systems and help prevent client‑facing issues.
Network & Stakeholder Exposure
Collaborate with engineering and product teams across London, Frankfurt, Tel Aviv, and New York, as well as peer SRE teams focused on Scalability and Resilience. You’ll develop strong stakeholder management and communication skills.
We’ll trust you to:
- Enhance and maintain systems that capture and present performance metrics
- Improve the reliability and accuracy of telemetry and analysis
- Understand and assess client experience risks within EMS platforms
- Communicate system health and performance to stakeholders
- Partner across teams to strengthen observability
- Support Scalability and Resilience initiatives with actionable data
- Assist in triaging major incidents and production issues
You will need to have:
- Experience with a high‑level language (Python preferred, but not required; Java, C++, etc. welcome)
- Knowledge of Unix/Linux fundamentals (or strong willingness to learn)
- Familiarity with observability concepts (e.g., distributed tracing, logging, metrics, tools such as Grafana or similar)
- Understanding of distributed systems concepts (replication, partitioning, scalability, messaging, state management) and eagerness to deepen that knowledge
We would love to see:
- Exposure to cloud and data‑processing technologies (e.g., Argo, Spark, Solr)
- Experience communicating across IC and leadership levels
- Curiosity across the full software/hardware stack
- Strong written and verbal technical communication skills
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 amer_recruit@bloomberg.net
Senior Software Engineer - TRAX Observability employer: Bloomberg L.P.
Bloomberg offers an exceptional work environment for Senior Software Engineers in London, fostering a culture of innovation and collaboration. With access to experienced mentors and cutting-edge technologies, employees are empowered to grow their technical skills while directly impacting the reliability of critical trading systems. The company's commitment to diversity and inclusion, along with its focus on employee well-being, makes it a truly rewarding place to build a meaningful career.
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We think you need these skills to ace Senior Software Engineer - TRAX Observability
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Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
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How to prepare for a job interview at Bloomberg L.P.
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For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
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Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
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