Responsibilities:
- Design and implementELK(Elasticsearch, Logstash and Kibana) stack solutions
- Create and manage large-scale elastic search clusters on Production and DR
- Design end-to-end solutions focusing on performance, reliability, scalability, and maintainability.
- Collaborate with subject matter experts (SMEs) to create prototypes
- Adopt agile and DevOps practices, aligning with the product delivery lifecycle
- Automate processes using relevant tools and frameworks
- Collaborate with Infrastructure and development teams for capacity planning and deployment strategy to achieve highly available and scalable architecture
Technology Stack Experience Required:
- Proficiency in developingELKstack solutions, including Elasticsearch, Logstash, and Kibana.
- Experience upgrading Elasticsearch across major versions.
- Hands-on experience
- Familiarity with Elasticsearch Painless scripting language.
- Experience with Linux/Unix operating systems, preferably CentOS/RHEL.
- Proficient in Oracle PL/SQL, scripting technologies, Git, Jenkins, Ansible, Docker, ITIL, Agile, Jira, Confluence, and security best practices.
- Well versed with applications/infrastructure logging and monitoring tools like SolarWinds, Splunk, Grafana, and Prometheus.
Skills:
- Configuring, maintaining, tuning, administering, and troubleshooting Elasticsearch clusters in a cloud environment.
- Experience with Elastic cluster architecture, design, and deployment.
- Strong understanding of JSON data ingest.
- Agile development experience.
- Proficiency in source control using Git.
- Excellent communication skills to collaborate with DevOps, Product, and Project Management teams.
- Initiative and problem-solving abilities.
- Ability to work in a dynamic, fast-moving environment, prioritize tasks, and manage time effectively.
