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DevOps Engineer - Elastic experience

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Extensive experience with DevOps practices, Strong understanding of Kubernetes architecture, In-depth knowledge of security best practices for Kubernetes, Proven ability to automate Elasticsearch clusters deployment, Experience with cloud platforms like AWS, Azure, or GCP.

Key responsabilities:

  • Design and maintain infrastructure for Elasticsearch on Kubernetes
  • Develop and manage CI/CD pipelines for automation
  • Implement security best practices for Kubernetes
  • Automate configuration and management of Elasticsearch clusters
  • Optimize performance in high-volume data environments
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2 - 10 Employees
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Job description

DevOps Engineer with Elastic experience

Remote - UK with 2 days per month on-site in Birmingham

5 months

Who are we? 

We're a software development company building the world's Elastic Workforce, reinventing work and challenging the assumption that a local team = the best team. We help businesses deliver technical projects better than ever before through our platform and on-demand Elastic Teams™.

Our mission is to create freelance jobs with more benefits than permanent.Want to know more? read: https://distributed.co/about

About this role

We're partnering with a leading telecoms organisation to replace their legacy threat-hunting platform with Elastic, enhancing efficiency and speed while processing 90TB of data daily. We're seeking a skilled DevOps Engineer to streamline our Elasticsearch deployment and management processes using Kubernetes, ensuring robust, secure, and scalable operations.

Your Responsibilities

 As our DevOps Engineer, you will be responsible for designing, implementing, and maintaining the infrastructure that supports our large-scale Elasticsearch deployment on Kubernetes. You'll develop and manage CI/CD pipelines to automate deployment processes, ensuring rapid and reliable updates to our Elasticsearch clusters. Your role will involve implementing security best practices for our Kubernetes environments, safeguarding sensitive data and maintaining compliance standards. You'll also work on automating the configuration and management of Elasticsearch clusters, optimising performance and resource utilisation in our high-volume data environment.

About You 

We're looking for passionate technologists who enjoy working in collaborative agile teams. You'll need to be a clear, concise & engaging communicator with people on your team. We enjoy the big picture and the detail; we want people who excel at both.

  • Extensive experience with DevOps practices and tools, particularly CI/CD pipelines and containerisation
  • Strong understanding of Kubernetes architecture and operations in large-scale environments
  • In-depth knowledge of security best practices for Kubernetes, especially in the context of handling sensitive data
  • Proven ability to automate deployment, configuration, and management of Elasticsearch clusters on Kubernetes
  • Experience with infrastructure as code (e.g., Terraform, Ansible)
  • Familiarity with monitoring and logging solutions for Kubernetes and Elasticsearch
  • Strong scripting skills (e.g., Python, Bash)
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Knowledge of networking concepts and troubleshooting in Kubernetes environments
  • Relevant certifications (e.g., CKA, CKAD, AWS/Azure/GCP certifications) are advantageous

About us 

Distributed is proud to be an equal opportunities employer. Employees and contractors, as well as prospective employees and contractors, will all be treated equally and fairly. Distributed is committed to ensuring no less favourable treatment is experienced by any current or prospective employee because of any of the protected characteristics under the UK Equality Act 2010 or equivalent local equality legislation.

By submitting your application you give us permission to store and use the information from your CV and your answers to application questions.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Human Resources, Staffing & Recruiting
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Verbal Communication Skills
  • Analytical Thinking

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