Description

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

Education

Any Graduate