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- Tasks: Implement and optimise observability stacks in OpenShift environments for system health and performance.
- Company: Join a forward-thinking tech company with a hybrid work culture.
- Benefits: Enjoy competitive pay, health perks, and opportunities for professional growth.
- Why this job: Make a real impact by enhancing observability and collaborating with diverse teams.
- Qualifications: Experience with data pipelines, OpenShift telemetry, and strong problem-solving skills.
- Other info: Dynamic role with excellent career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a skilled OpenShift Telemetry Engineer to join our team.
Your Responsibilities
- Primarily responsible for implementing, managing, and optimizing the observability stack within a Red Hat OpenShift Container Platform environment to ensure system health, performance, and security.
- Bridge the gap between application monitoring and infrastructure, leveraging different tools.
Your Profile
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 Engineer employer: Stackstudio Digital Ltd.
Contact Detail:
Stackstudio Digital Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land OpenShift Telemetry Engineer
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even local tech events. You never know who might be looking for someone with your OpenShift skills.
✨Show Off Your Skills
Create a portfolio showcasing your projects related to OpenShift telemetry. Whether it's a GitHub repo or a personal website, let us see what you've built and how you’ve tackled challenges in the past.
✨Ace the Interview
Prepare for technical interviews by brushing up on your knowledge of Kafka, Open Telemetry, and data pipelines. Practice common interview questions and maybe even do some mock interviews with friends to build confidence.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace OpenShift Telemetry Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the OpenShift Telemetry Engineer role. Highlight your experience with data pipelines, Kafka, and observability tools. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a perfect fit. We love seeing enthusiasm and a bit of personality!
Showcase Relevant Projects: If you've worked on projects that involve OpenShift, telemetry, or data engineering, make sure to mention them. We appreciate real-world examples that demonstrate your skills and problem-solving abilities.
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 see what you bring to the table!
How to prepare for a job interview at Stackstudio Digital Ltd.
✨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 roles.
✨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 the outcomes were.
✨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 how you ensure everyone is on the same page.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current observability practices, the team’s biggest challenges, or how they envision the future of telemetry within their infrastructure. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
