ELK Stack Engineer
4 weeks ago
Responsibilities:
- Design and implement ELK (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 developing ELK stack solutions, including Elasticsearch, Logstash, and Kibana
- Experience upgrading Elasticsearch across major versions
- Hands-on experience managing large applications in production environments
- Proficiency in Python
- 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
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