What you'll do
- Lead the design, build, and optimization of Elasticsearch clusters focusing on logging use cases.
- Implement and manage Index Lifecycle Management (ILM) policies and Hot-Warm-Cold architecture for scalable data storage.
- Automate deployment and configuration using Ansible and write shell scripts for operational efficiency.
- Collaborate with cross-functional teams to tailor Elastic Stack solutions and integrate with Kafka, Logstash, and Beats.
- Monitor cluster health with Grafana dashboards and set up alerting systems to ensure performance and uptime.
What you should know
- Role requires onsite presence in Alpharetta, GA, limiting applicants to local candidates.
- Ideal candidates have 7+ years of ELK Stack experience with strong scripting and automation skills.
- Opportunity to work on complex, scalable logging architectures and influence infrastructure design.
- Candidates should be prepared for a two-step interview process including video and in-person meetings.
- The position offers a hybrid schedule with 3 days onsite and 2 days remote, balancing collaboration and flexibility.
About the company
- Company operates with a hybrid work model, emphasizing both onsite collaboration and remote flexibility.
- Focuses on advanced data management and logging solutions using the ELK Stack.
- Likely a mid-sized or larger organization given the structured interview process and onsite requirements.
- Values technical expertise and strong communication skills for effective team collaboration.
- Committed to long-term employment, offering potential conversion to full-time within 6 to 12 months.
Key required skills
ElasticsearchLogstashKibanaBeatsAnsibleShell scriptingGitPythonRubyKafkaGrafana