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- Tasks: Join our team to build and scale a cutting-edge Analytics and Network Assurance Data Platform.
- Company: Cisco ThousandEyes empowers organisations to deliver flawless digital experiences across every network.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Be part of an innovative team shaping the future of data engineering and network observability.
- Qualifications: Expertise in Java, Python, and experience with large-scale data pipelines is essential.
- Other info: Diverse backgrounds are encouraged; apply even if you don't meet every qualification.
The predicted salary is between 78000 - 108000 £ per year.
Senior Software Engineer, Network Assurance Data Platform
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Senior Software Engineer, Network Assurance Data Platform
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Please note that we have a hybrid approach to work and would like to find someone who can come into our offices in London at least one day a week
Who We Are
Cisco ThousandEyes is a Digital Experience Assurance platform that empowers organizations to deliver flawless digital experiences across every network – even the ones they don’t own. Powered by AI and an unmatched set of cloud, internet and enterprise network telemetry data, ThousandEyes enables IT teams to proactively detect, diagnose, and remediate issues – before they impact end- user experiences.
ThousandEyes is deeply integrated across the entire Cisco technology portfolio and beyond, helping customers deploy at scale while also delivering AI-powered assurance insights within Cisco’s leading Networking, Security, Collaboration, and Observability portfolios.
About The Role
We are seeking a highly skilled and motivated Data Platform Engineer to join our team focused on building and scaling our Analytics and Network Assurance Data Platform . This platform ingests, transforms, and serves large-scale telemetry and operational data to power advanced analytics, ML-driven insights, and real-time network assurance capabilities. You will play an important role in helping to deliver new ML powered features to our customers as well as monitoring and improving the existing features for performance and quality. This team leverages a robust technology stack that includes Java, Python,Flink, Spark, Kafka, OpenSearch, Kubernetes, and internal tools developed from existing open-source Big Data technologies
In this role, you’ll work at the intersection of data engineering , cloud infrastructure , and network observability , helping shape how massive volumes of data are collected, modeled, and served for both internal stakeholders and customer-facing analytics.
Responsibilities
- Collaborate with data scientists, product managers, and SREs to translate network analytics requirements into performant data models and APIs.
- Create and maintain an optimal data pipeline architecture.
- Contribute and operate data quality tooling.
- Monitor and optimize compute and query performances.
- Troubleshoot and debug issues across our applications and services.
Who You Are
Agile, pragmatic and hardworking. You also love to interact with data scientists, machine learning engineers and software engineers to develop pipelines that scale seamlessly at huge volumes of data. You love technology, innovation and building products at scale.
Minimum Qualifications
- Expert-level understanding of object oriented programming languages such as Java and Python
- Strong Computer Science fundamentals and object-oriented design skills
- Involvement in building large scale real-time streaming and batch pipelines using Kafka, Flink, or Spark
- Exceptional team collaboration and communication skills
- Experience working in a fast-paced development environment
Preferred Qualifications
- 6+ years of software development experience
- Bachelor\’s / master’s degree, or a PhD in a relevant field
- Understanding and use of Docker, Kubernetes and cloud technologies (AWS, GCP)
- Exposure to network protocols
Cisco values the perspectives and skills that emerge from employees with diverse backgrounds. That\’s why Cisco is expanding the boundaries of discovering top talent by not only focusing on candidates with educational degrees and experience but also placing more emphasis on unlocking potential. We believe that everyone has something to offer and that diverse teams are better equipped to solve problems, innovate, and create a positive impact.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification. Research shows that people from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy. We urge you not to prematurely exclude yourself and to apply if you\’re interested in this work.
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Full-time
Job function
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Job function
Engineering and Information Technology
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Industries
Computer Networking Products
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Senior Software Engineer, Network Assurance Data Platform employer: Cisco ThousandEyes
Contact Detail:
Cisco ThousandEyes Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer, Network Assurance Data Platform
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Kafka, Flink, and Spark. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Engage with the Cisco ThousandEyes community on platforms like LinkedIn or GitHub. Networking with current employees can provide insights into the company culture and may even lead to referrals, which can significantly boost your chances of landing an interview.
✨Tip Number 3
Prepare to discuss your experience with data pipelines and real-time analytics during interviews. Be ready to share specific examples of how you've optimised performance or solved complex problems in previous roles, as this aligns closely with the responsibilities of the position.
✨Tip Number 4
Showcase your collaborative skills by highlighting past experiences where you worked with cross-functional teams, especially with data scientists and product managers. This role requires strong teamwork, so demonstrating your ability to communicate effectively will be crucial.
We think you need these skills to ace Senior Software Engineer, Network Assurance Data Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Java, Python, and big data technologies like Kafka, Flink, or Spark. Emphasise any relevant projects that showcase your skills in building large-scale data pipelines.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your background aligns with the responsibilities of the role. Mention specific experiences where you've collaborated with data scientists or worked on real-time streaming applications.
Showcase Your Problem-Solving Skills: Include examples in your application that demonstrate your ability to troubleshoot and debug issues in complex systems. Highlight any instances where you improved performance or quality in previous roles.
Highlight Team Collaboration: Since the role involves working closely with various teams, mention your teamwork and communication skills. Provide examples of successful collaborations that led to impactful results in your past projects.
How to prepare for a job interview at Cisco ThousandEyes
✨Understand the Tech Stack
Familiarise yourself with the technologies mentioned in the job description, such as Java, Python, Kafka, Flink, and Spark. Be prepared to discuss your experience with these tools and how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Be ready to demonstrate your ability to troubleshoot and debug issues. Prepare examples of challenges you've faced in previous roles and how you resolved them, particularly in relation to data pipelines and performance optimisation.
✨Emphasise Collaboration
Since the role involves working closely with data scientists and product managers, highlight your teamwork and communication skills. Share specific instances where collaboration led to successful project outcomes.
✨Prepare for Behavioural Questions
Expect questions that assess your adaptability and work ethic. Reflect on your experiences in fast-paced environments and be ready to discuss how you handle pressure and change, especially in a tech-driven setting.
