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For Companies At a Glance
- Tasks: Design and optimise enterprise-grade monitoring for hybrid Kubernetes and OpenShift environments.
- Company: Join a forward-thinking tech company focused on observability and service intelligence.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by shaping observability strategies and enhancing platform reliability.
- Qualifications: Expertise in Splunk and OpenShift, with strong observability and automation skills.
- Other info: Dynamic role with excellent career advancement potential in a modern cloud-native environment.
The predicted salary is between 36000 - 60000 £ per year.
We're looking for a Splunk & OpenShift Observability Engineer to design, deploy, and optimise enterprise-grade monitoring across hybrid Kubernetes and OpenShift environments. This is a high-impact role where you'll shape observability strategy, enhance service intelligence, and ensure platform reliability at scale - balancing performance, cost efficiency, and security governance. You'll work at the intersection of platform engineering, observability, and service intelligence, helping to transform raw telemetry into actionable insight. This is an opportunity to influence reliability strategy, improve operational maturity, and deliver measurable value across a modern cloud‑native estate.
What You'll Be Doing
- Design, deploy, and operate Splunk Enterprise and ITSI across hybrid Kubernetes/OpenShift platforms.
- Onboard and normalise data at scale (HEC, Universal Forwarder, Deployment Server), aligning to CIM standards.
- Build and optimise ITSI service models: service trees, KPIs, adaptive thresholds, NEAP policies, glass tables, deep dives, and health scoring.
- Deliver OpenShift-focused executive and operational dashboards, including:
- Cluster/API/etcd health
- Node readiness and resource pressure
- Pod restart trends and noisy‑neighbour detection
- Network and storage error visibility
- Capacity, quota, and burst analysis
What You'll Bring
- Deep expertise in Splunk Enterprise (SPL mastery, CIM alignment, saved searches, macros, KV stores, index/retention/RBAC design, performance tuning).
- Strong experience with Splunk ITSI (service trees, KPIs, adaptive/time‑based thresholds, NEAP tuning, Service Analyzer configuration).
- Proven OpenShift/Kubernetes observability experience across control‑plane metrics, events, logs, workload correlation, and capacity management.
- Hands‑on experience with telemetry pipelines (OpenTelemetry/OTLP, Prometheus exporters, Fluentd/Fluent Bit/Vector, Kafka with TLS, HEC/UF/DS onboarding).
- Strong understanding of reliability engineering principles (golden signals, SLO design, namespace/application KPI mapping).
- Experience optimising performance and licensing costs using workload rules, DMA, and summary indexing.
- Solid security and compliance knowledge (TLS/mTLS, certificate/token hygiene, PII controls, auditability, role/index mapping).
- Automation and integration expertise across ITSM, ChatOps, webhooks, CMDB enrichment, and AIOps tooling.
Splunk and OpenShift Observability Engineer in Sheffield employer: CBSbutler Holdings Limited trading as CBSbutler
Contact Detail:
CBSbutler Holdings Limited trading as CBSbutler Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Splunk and OpenShift Observability Engineer in Sheffield
✨Tip Number 1
Network, network, network! Get out there and connect with folks in the industry. Attend meetups, webinars, or even local tech events. You never know who might have a lead on that perfect Splunk & OpenShift role!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to Splunk and OpenShift. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Don’t just apply blindly! Tailor your approach for each job. Research the company’s observability strategy and mention how your experience aligns with their goals. It shows you’re genuinely interested and not just sending out cookie-cutter applications.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative to engage directly with us. Plus, it gives you a better chance to stand out in the application process. Let’s get you that dream job!
We think you need these skills to ace Splunk and OpenShift Observability Engineer in Sheffield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Splunk & OpenShift Observability Engineer. Highlight your experience with Splunk, Kubernetes, and observability tools, and don’t forget to mention any relevant projects that showcase your skills!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about observability and how your background aligns with our needs. Be specific about your achievements and how they relate to the job description.
Showcase Your Technical Skills: In your application, make sure to highlight your technical expertise in areas like Splunk Enterprise, ITSI, and telemetry pipelines. We want to see your mastery of these tools and how you've used them to drive results in previous roles.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at CBSbutler Holdings Limited trading as CBSbutler
✨Know Your Splunk Inside Out
Make sure you brush up on your Splunk skills, especially SPL mastery and CIM alignment. Be ready to discuss your experience with saved searches, macros, and performance tuning, as these are crucial for the role.
✨Showcase Your OpenShift Experience
Prepare to talk about your hands-on experience with OpenShift and Kubernetes observability. Highlight specific projects where you've worked with control-plane metrics, events, and logs, and how you managed capacity effectively.
✨Demonstrate Your Problem-Solving Skills
Think of examples where you've optimised performance or reduced costs using workload rules and summary indexing. Be ready to explain your thought process and the impact of your solutions on the overall system.
✨Understand Reliability Engineering Principles
Familiarise yourself with concepts like golden signals and SLO design. Be prepared to discuss how you've applied these principles in past roles to enhance service intelligence and platform reliability.