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- Tasks: Join us as an Elasticsearch Engineer, focusing on security or observability tasks.
- Company: Be part of a dynamic tech company leading in data solutions.
- Benefits: Enjoy hybrid work options and a range of corporate perks.
- Why this job: Work with cutting-edge technology and make a real impact in data management.
- Qualifications: Proficiency in Elasticsearch, Kibana, and scripting languages like Python and Bash required.
- Other info: Ideal for tech enthusiasts eager to innovate in a collaborative environment.
The predicted salary is between 43200 - 72000 £ per year.
We are hiring for an Elasticsearch Engineer / Consultant (Security OR Observability).
Location: Hybrid - London or Birmingham locations.
- Proficiency in Elasticsearch Query DSL, EQL, and Kibana Canvas/dashboards.
- Expertise in Elasticsearch, Kibana, and good to have Elastic APM architecture, including deployment modes and core components.
- Strong knowledge of Linux system administration and container orchestration (Docker, Kubernetes).
- Familiarity with modern observability frameworks like Open Telemetry and Prometheus and their integration with Elastic.
- Expert in Bash and Python for automating data onboarding.
- Scripting skills: Python, Shell, or Painless for pipeline processors and operational tasks.
- Understanding of network protocols, HTTP, gRPC, and their logging intricacies.
- Proven ability to design and optimize Logstash pipelines (inputs, filters, outputs) and build native Elasticsearch ingest pipelines using various processors (grok, dissect, script, kv, CSV, geo_IP) for event normalization and enrichment.
Elasticsearch Engineer / Consultant (Security OR Observability) employer: LinkedIn
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Elasticsearch Engineer / Consultant (Security OR Observability)
✨Tip Number 1
Familiarise yourself with Elasticsearch Query DSL and EQL by working on personal projects or contributing to open-source projects. This hands-on experience will not only boost your confidence but also give you practical examples to discuss during interviews.
✨Tip Number 2
Join online communities or forums related to Elasticsearch and observability. Engaging with professionals in these spaces can provide insights into industry trends and best practices, which can be valuable talking points when networking or interviewing.
✨Tip Number 3
Brush up on your Linux system administration skills, especially focusing on container orchestration tools like Docker and Kubernetes. Consider setting up a small project that utilises these technologies to demonstrate your capabilities.
✨Tip Number 4
Practice scripting in Python and Bash by automating common tasks or creating small utilities. This will not only enhance your technical skills but also show potential employers your proactive approach to problem-solving.
We think you need these skills to ace Elasticsearch Engineer / Consultant (Security OR Observability)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your proficiency in Elasticsearch Query DSL, EQL, and Kibana. Include specific examples of projects where you've used these technologies, as well as any experience with Elastic APM architecture.
Showcase Relevant Skills: Emphasise your expertise in Linux system administration and container orchestration tools like Docker and Kubernetes. Mention any familiarity you have with observability frameworks such as Open Telemetry and Prometheus.
Highlight Scripting Proficiency: Clearly outline your skills in Bash and Python, especially in the context of automating data onboarding and scripting for pipeline processors. Provide examples of how you've used these languages in previous roles.
Craft a Strong Cover Letter: In your cover letter, explain why you're passionate about the role and how your background aligns with the job requirements. Discuss your experience in designing and optimising Logstash pipelines and native Elasticsearch ingest pipelines.
How to prepare for a job interview at LinkedIn
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Elasticsearch Query DSL, EQL, and Kibana. Bring examples of dashboards you've created or optimised, and be ready to explain your thought process behind them.
✨Demonstrate Your Scripting Expertise
Since scripting is crucial for this role, highlight your experience with Bash and Python. Consider preparing a small coding challenge or example that showcases your ability to automate data onboarding and operational tasks.
✨Discuss Your Experience with Container Orchestration
Familiarity with Docker and Kubernetes is essential. Be ready to talk about how you've used these technologies in past projects, including any challenges you faced and how you overcame them.
✨Understand Modern Observability Frameworks
Make sure you can discuss frameworks like Open Telemetry and Prometheus. Prepare to explain how you've integrated these with Elastic in previous roles, as this knowledge will set you apart from other candidates.
