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- Tasks: Join us as an Elastic Observability Specialist, focusing on application and infrastructure visibility.
- Company: Be part of a dynamic team in Birmingham/London, working with cutting-edge Elastic technologies.
- Benefits: Enjoy flexible work options with 3 days onsite and opportunities for professional growth.
- Why this job: Make a real impact by optimising performance and cost for large-scale Elastic deployments.
- Qualifications: Proficiency in Elasticsearch, Kibana, and strong Linux skills are essential.
- Other info: Collaborate with diverse teams and enhance your problem-solving skills in a supportive environment.
The predicted salary is between 48000 - 72000 £ per year.
We are hiring for Elastic Observability Specialist for our client's project based at Birmingham/London, UK – 3 days per week Onsite.
Role Overview
An Elastic Observability Specialist focuses on end-to-end visibility across applications and infrastructure. You will architect and implement logging, metrics, and tracing pipelines; build user-friendly dashboards; and optimize performance and cost for large-scale Elastic deployments.
Key Responsibilities
- Data Ingestion & Mapping
- Design Ingest Pipelines with Grok, JSON, and user-defined processors to normalize logs.
- Configure Beats (Filebeat, Metricbeat, Heartbeat) and Elastic Agent for logs, metrics, uptime, and security data.
- Manage ECS-compliant field mappings and index templates for consistency.
- APM & Distributed Tracing
- Instrument applications using Elastic APM agents (.NET, Java, Python, Node.js).
- Build and maintain flame graphs, service maps, and transaction breakdowns in APM UI.
- Dashboarding & Visualization
- Develop Kibana dashboards, Canvas presentations, and Lens visualizations for SREs and Dev teams.
- Implement SLO/SLI monitoring and alerting using Kibana Alerting API and Watcher where needed.
- Performance Tuning & Scaling
- Advise on shard sizing, index rollover policies, and hot-warm architecture for efficient storage.
- Implement ILM policies (rollover, shrink, freeze) and snapshot strategies (S3, Azure Blob, GCS).
- Alerting & Incident Response
- Configure metric thresholds and anomaly detection ML jobs for proactive alerting on system health.
- Integrate with notification channels (Slack, PagerDuty) via Kibana connectors.
Required Technical Skills
- Proficiency in Elasticsearch, Kibana, and Elastic APM architecture.
- Deep expertise on the fundamentals of the overall Elastic stack components and its mode of deployment.
- Strong knowledge of Linux system administration and container orchestration (Docker, Kubernetes).
- Experience with observability frameworks (OpenTelemetry, Prometheus) and integrating with Elastic.
- Expertise in scripting (Bash, Python) for automating data onboarding and operational tasks.
- Understanding of network protocols, HTTP, gRPC, and related logging intricacies.
- Deep familiarity with Filebeat modules (e.g. system, nginx, kafka) and Metricbeat modules (e.g. docker, kubernetes, system) for out-of-the-box ingestion.
- Hands-on with Elastic Agent policies—creating integrations for logs, metrics, and uptime using Fleet.
- Ability to customize prospectors/inputs, multiline patterns, and conditionals in Beats to ensure complete, ECS-compliant event capture.
- Design and optimize Logstash pipelines: inputs (beats, syslog, Kafka), filters (grok, kv, date, geoip), and outputs (Elasticsearch, Kafka).
- Build native Elasticsearch ingest pipelines—using processors (grok, dissect, script, kv, CSV, geo_IP) to normalize and enrich events before indexing.
Soft Skills & Attributes
- Problem-solver with a customer-focused mindset.
- Excellent communicator, able to translate metrics into actionable insights.
- Collaborative, works closely with development, operations, and business stakeholders.
Elastic Observability Specialist employer: GIOS Technology
Contact Detail:
GIOS Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Elastic Observability Specialist
✨Tip Number 1
Familiarise yourself with the Elastic stack components, especially Elasticsearch and Kibana. Understanding how these tools work together will help you demonstrate your expertise during interviews.
✨Tip Number 2
Showcase your experience with observability frameworks like OpenTelemetry and Prometheus. Be prepared to discuss how you've integrated these with Elastic in past projects, as this will highlight your practical knowledge.
✨Tip Number 3
Brush up on your scripting skills, particularly in Bash and Python. Being able to automate data onboarding and operational tasks is crucial for this role, so be ready to share examples of your work.
✨Tip Number 4
Prepare to discuss your problem-solving approach and how you communicate technical insights to non-technical stakeholders. This role requires collaboration, so demonstrating your soft skills will set you apart.
We think you need these skills to ace Elastic Observability Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience with Elasticsearch, Kibana, and Elastic APM. Use specific examples that demonstrate your expertise in data ingestion, performance tuning, and incident response.
Craft a Compelling Cover Letter: Write a cover letter that showcases your problem-solving skills and customer-focused mindset. Mention how your previous experiences align with the responsibilities of the Elastic Observability Specialist role.
Highlight Technical Skills: In your application, emphasise your proficiency in Linux system administration, container orchestration, and scripting languages like Bash and Python. Be specific about your experience with observability frameworks and Elastic stack components.
Showcase Soft Skills: Don't forget to mention your communication skills and ability to collaborate with different teams. Provide examples of how you've translated metrics into actionable insights in past roles.
How to prepare for a job interview at GIOS Technology
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Elasticsearch, Kibana, and Elastic APM architecture. Highlight specific projects where you've designed ingest pipelines or built dashboards, as this will demonstrate your hands-on experience.
✨Demonstrate Problem-Solving Abilities
Since the role requires a problem-solver with a customer-focused mindset, be ready to share examples of challenges you've faced in previous roles and how you resolved them. This will show your ability to think critically and act decisively.
✨Communicate Clearly
Excellent communication is key for this position. Practice explaining complex technical concepts in simple terms, as you'll need to translate metrics into actionable insights for various stakeholders.
✨Prepare for Collaborative Scenarios
The role involves working closely with development, operations, and business teams. Think of examples where you've successfully collaborated on projects, and be ready to discuss how you can contribute to a team environment.
