Elastic (ECE + ECK) SME

Role Specific Responsibilities Include

 

• Strong understanding and working experience of CI/CD and GitOps
• Knowledge of the web services, highly scalable web servers, caching servers, REST and SOAP
• Very strong scripting and automation skills including languages such as Python, bash, painless
• DevOps engineer with expert knowledge of Elasticsearch platform, experienced in building and managing Elasticsearch clusters (Elasticsearch, Logstash, Kibana) - ideally 5+ years hands on experience
• Strong hands-on experience on designing, building and managing scalable, high-performance, distributed enterprise systems
• Deployment and configuration of Elastic beats and agents
• Management of ingest pipelines and deep understanding of the ingest processors
• Working experience in DevOps support model / Tooling Development
• Strong understanding in DevOps tools like Azure DevOps
• Strong experience in Automation, working knowledge on configuration management tools like Ansible, Chef, Helm
• Strong Knowledge on Cloud concepts (Azure) and containerization technologies (AKS)
• Working knowledge of Ansible, Terraform, Argo CD
• Knowledge on OAuth, SAML concepts
• ECK (Elastic Cloud for Kubernetes) experience
• ECE (Elastic Cloud Enterprise) experience
• Bachelor's degree in computer science, Information Technology, or related field
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team in a fast-paced environment
  
   

Responsibilities

 

• As a SRE Elasticsearch Automation Engineer, you will be responsible for designing, deploying, and maintaining complex Elastic , Azure infrastructure cloud environment
• You will work closely with other infrastructure teams, project managers, to ensure the successful delivery of cloud-based solutions
• Designing and implementing ELK (Elasticsearch, Logstash and Kibana) stack solutions
• Maintain and Troubleshoot Kubernetes clusters, AKS
• Build out CI/CD pipelines (Jenkins, Azure DevOps, ArgoCD) enable self-service build tools and reusable deployment jobs, automate Elasticsearch artefact creation using GitOps
• Participate in the analysis and document requirements for development of new or improvement of existing infrastructure automation ("infrastructure as code”) and cloud integration solutions
• Implementing a production ready Elasticsearch cluster on on-prem and Kubernetes cluster
• Deploying software to new platforms and maintaining multiple environments from Development through Production
• Driving enhancements to automated deployment solutions
• Working to induce a DevOps mentality and best practices