Elasticsearch Specialist

About this role:

As an Elasticsearch Administrator, you will play a key part in continually evaluating the performance of our clusters to spot developing problems, planning changes for high-load events, applying security fixes, testing and performing incremental upgrades, and extending and improving our monitoring and alert infrastructure.

• You will be responsible for maintaining parts of the data pipeline, which may include server-less or server-based systems for feeding data into the Elasticsearch pipeline.
• We are constantly looking to optimize our cost-vs-performance position, and so testing new types of hosts or configurations is an ongoing focus.
• We use declarative tools like Puppet, and various scripting mechanisms (depending on the target environment). Our aim is to automate as much as possible and achieve a 'build once/run everywhere' system.

Expertise you'll bring:

• Our Elasticsearch clusters are hosted across public cloud, Kubernetes clusters, and private data centers.
• This will provide an opportunity to work with a variety of infrastructure and operations teams.
• Build long-lasting, effective partnerships across the organization to foster collaboration between Product, Engineering, and Operations teams.
• Participate in an on-call rotation and be willing to jump on escalated issues as needed.
• Please outline in bullet points what you expect from candidates.
• Bachelor's degree in computer science, information technology, engineering, or related discipline required.
• Primary expertise: administration and management of Elasticsearch clusters.
• Secondary expertise: administration and management of Splunk clusters.
• Strong knowledge in provisioning and Configuration Management tools like Puppet, Ansible, Rundeck, etc.
• Experience in building Automations and Infrastructure as Code using Terraform, Packer, or CloudFormation templates.
• Experience with monitoring and logging tools like Splunk, Prometheus, PagerDuty, etc.
• Experience with scripting languages like Python, Bash, Go, Ruby, Perl, etc.
• Experience with CI/CD tools like Jenkins, Pipelines, Artifactory, etc.
• An inquisitive mind with the ability to learn where the data exists in a large and disparate system and what that data means.
• The skills to do effective troubleshooting, following a problem wherever it may lead.
• Experience with Docker and Kubernetes.