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- Tasks: Join us as an OpenShift Telemetry Engineer and optimise observability in a dynamic tech environment.
- Company: Be part of a forward-thinking tech company focused on innovation and collaboration.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by enhancing system performance and security with cutting-edge technologies.
- Qualifications: Experience with data pipelines, OpenShift, and strong problem-solving skills are essential.
- Other info: Collaborative team culture with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a skilled OpenShift Telemetry Engineer to join our team. Your responsibilities include:
- Implementing, managing, and optimizing the observability stack within a Red Hat OpenShift Container Platform environment to ensure system health, performance, and security.
- Bridging the gap between application monitoring and infrastructure, leveraging different tools.
Essential skills/knowledge/experience:
- Design, implement, and maintain data pipelines to ingest and process OpenShift telemetry (metrics, logs, traces) at scale.
- Stream OpenShift telemetry via Kafka (producers, topics, schemas) and build resilient consumer services for transformation and enrichment.
- Engineer data models and routing for multi-tenant observability; ensure lineage, quality, and SLAs across the stream layer.
- Integrate processed telemetry into Splunk for visualization, dashboards, alerting, and analytics to achieve Observability Level 4 (proactive insights).
- Implement schema management (Avro/Protobuf), governance, and versioning for telemetry events.
- Build automated validation, replay, and backfill mechanisms for data reliability and recovery.
- Instrument services with Open Telemetry; standardize tracing, metrics, and structured logging across platforms.
- Use LLMs to enhance observability capabilities (e.g., query assistance, anomaly summarization, runbook generation).
- Collaborate with platform, SRE, and application teams to integrate telemetry, alerts, and SLOs.
- Ensure security, compliance, and best practices for data pipelines and observability platforms.
- Document data flows, schemas, dashboards, and operational runbooks.
Desirable skills/knowledge/experience/Personal attributes:
- Hands-on experience building streaming data pipelines with Kafka (producers/consumers, schema registry, Kafka Connect/KSQL/Stream).
- Proficiency with OpenShift/Kubernetes telemetry (Open Telemetry, Prometheus) and CLI tooling.
- Experience integrating telemetry into Splunk (HEC, UF, source types, CIM), building dashboards and alerting.
- Strong data engineering skills in Python (or similar) for ETL/ELT, enrichment, and validation.
- Knowledge of event schemas (Avro/Protobuf/JSON), contracts, and backward/forward compatibility.
- Familiarity with observability standards and practices; ability to drive toward Level 4 maturity (proactive monitoring, automated insights).
- Understanding of hybrid cloud and multi-cluster telemetry patterns.
- Security and compliance for data pipelines: secret management, RBAC, encryption in transit/at rest.
- Good problem-solving skills and ability to work in a collaborative team environment.
- Strong communication and documentation skills.
OpenShift Telemetry in London employer: Avance Consulting
Contact Detail:
Avance Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land OpenShift Telemetry in London
✨Tip Number 1
Network like a pro! Attend industry meetups, webinars, or conferences related to OpenShift and telemetry. It's a great way to meet potential employers and learn about job openings that might not be advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to data pipelines, Kafka, and observability. This can really set you apart when you're chatting with hiring managers.
✨Tip Number 3
Don’t just apply; engage! When you find a job on our website, reach out to someone in the company on LinkedIn. A friendly message can make a huge difference and show your genuine interest.
✨Tip Number 4
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts simply, as communication is key in collaborative environments like ours.
We think you need these skills to ace OpenShift Telemetry in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the OpenShift Telemetry role. Highlight your experience with data pipelines, Kafka, and observability tools. We want to see how your skills match what we're looking for!
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Share specific examples of how you've implemented telemetry solutions or optimised observability stacks. This gives us a clear picture of your hands-on experience.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for key achievements and avoid jargon unless it's relevant. We appreciate straightforward communication!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Avance Consulting
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially OpenShift, Kafka, and Splunk. Brush up on your knowledge of telemetry concepts and be ready to discuss how you've implemented or optimised these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in data engineering or observability. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting how you approached problems and what solutions you implemented.
✨Demonstrate Collaboration
Since this role involves working with various teams, be ready to talk about your experience collaborating with platform, SRE, and application teams. Share examples of how you’ve successfully integrated telemetry and alerts, and emphasise your communication skills.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current observability practices, challenges they face, or how they envision the future of their telemetry stack. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
