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- Tasks: Join us as a Network Production Engineer, managing our global network infrastructure.
- Company: Bloomberg is a leading financial services and technology company.
- Benefits: Enjoy flexible working options, competitive salary, and a diverse workplace culture.
- Why this job: Be part of innovative projects that shape the future of network automation.
- Qualifications: Experience in software engineering and network automation is essential.
- Other info: We value diversity and are committed to inclusivity in our hiring process.
The predicted salary is between 43200 - 72000 £ per year.
Description and requirements
As a Network Production Engineer, you will be a critical member of the team responsible for the full lifecycle of our global network infrastructure that supports Bloomberg’s core products and services. This includes building and maintaining a network that is scalable, reliable and robust. Our network is vast, connecting several large-scale Data Centers and over a hundred edge sites. It connects Bloomberg to hundreds of thousands of our clients, over 1,500 global exchanges and trading venues over private connectivity, Internet and Public Cloud.
This is a unique opportunity to help build robust, highly scalable solutions that will power the future of how Bloomberg automates network infrastructure. You\’ll be trusted to design and work on tooling that builds on automation best practices and principles.
We’ll trust you to
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Develop and maintain software tools to manage a large-scale, multi-vendor network with an emphasis on automation, telemetry, and model-driven infrastructure as code.
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Automate the full network lifecycle—including provisioning, configuration, observability, testing, troubleshooting, and capacity planning.
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Collaborate with architecture and design teams and the CTO office to implement new technologies that ensure scalability, efficiency, and operational resilience.
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Develop tools and platforms that enhance the observability, reliability, and performance of the production network.
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Enhance existing monitoring and observability frameworks, integrating intelligent alerting and self-remediation capabilities to reduce manual intervention and improve incident response.
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Define and measure service-level objectives (SLOs) to track infrastructure performance and reliability.
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Write software utilizing orchestration systems to automate tasks and interact with other systems.
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Provide mentorship to junior engineers and promote software engineering best practices throughout the team.
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Practice and promote the use of a modern software development lifecycle.
You need to have
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Extensive experience as a Software, Network Production, or System Reliability Engineer.
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Experience with building, maintaining and continuously enhancing automations needed for scalability & efficiency in running the Network Infrastructure.
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Experience in infrastructure Automation and orchestration Frameworks e.g. Ansible, Airflow, Terraform, Chef, Salt.
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Proven experience with object-oriented programming languages preferably in Python.
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A bachelor\’s or master\’s degree in computer science, Engineering, Mathematics, a similar field of study or equivalent work experience.
We\’d love to see
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Experience managing and automating network devices at scale such as Juniper, Nokia, Arista, Cisco, Whitebox etc.
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An understanding of various Network architectures across Internet, Public Cloud, Private Networks, DWDM and Optical Networking, Data Centre builds and design fundamentals. etc.
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Experience with network modelling
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Eagerness to learn new technologies and mentor others
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Experience with Telemetry: Splunk, Grafana, Humio
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Experience with continuous integration and deployment tools
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Experience implementing, maintaining and troubleshooting MPLS, BGP, OSPF, IGMP, PIM related internal and external network routing issues in a production environment
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Knowledge with messaging queues such as Kafka, RabbitMQ, etc
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
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Senior Software Engineer - Network Production Engineer 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 - Network Production Engineer London, GBR Posted today
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Ansible, Terraform, and Python. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Network with current employees or alumni who work at Bloomberg. They can provide insights into the company culture and the specific challenges faced by the team, which can help you tailor your approach during interviews.
✨Tip Number 3
Prepare to discuss your experience with network automation and orchestration in detail. Be ready to share specific examples of how you've implemented solutions that improved scalability and efficiency in previous roles.
✨Tip Number 4
Showcase your eagerness to learn and mentor others. Highlight any past experiences where you've helped junior engineers or contributed to team knowledge sharing, as this aligns well with the collaborative nature of the role.
We think you need these skills to ace Senior Software Engineer - Network Production Engineer London, GBR Posted today
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive experience as a Software, Network Production, or System Reliability Engineer. Emphasise your skills in automation and orchestration frameworks like Ansible and Terraform, as well as your proficiency in Python.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and how your background aligns with Bloomberg's needs. Mention specific experiences that demonstrate your ability to manage and automate network devices at scale.
Showcase Relevant Projects: Include examples of projects where you developed software tools for network management or enhanced observability frameworks. Highlight any experience with telemetry tools like Splunk or Grafana, as these are relevant to the position.
Highlight Continuous Learning: Mention your eagerness to learn new technologies and your experience mentoring others. This shows that you are not only skilled but also committed to growth and collaboration within the team.
How to prepare for a job interview at Bloomberg L.P.
✨Showcase Your Automation Skills
Since the role heavily focuses on automation, be prepared to discuss your experience with automation tools like Ansible or Terraform. Share specific examples of how you've implemented these tools in past projects to enhance network efficiency.
✨Demonstrate Your Problem-Solving Abilities
Expect to face technical questions that assess your troubleshooting skills. Prepare to walk through a challenging network issue you resolved, detailing your thought process and the steps you took to find a solution.
✨Familiarise Yourself with Bloomberg's Network Infrastructure
Research Bloomberg's network architecture and services. Understanding their infrastructure will allow you to ask informed questions and demonstrate your genuine interest in the company during the interview.
✨Prepare for Collaboration Questions
As collaboration is key in this role, think of examples where you've worked effectively with cross-functional teams. Be ready to discuss how you communicate technical concepts to non-technical stakeholders.
