Elastic Engineer
About the role
Who We Are
Jolera offers MSPs & IT solution providers next-generation managed services, enabling them to create world-class experiences for their clients. Your clients receive award-winning solutions built on over 20 years of experience servicing businesses worldwide. We’ve helped transform hundreds of MSPs & solution providers worldwide! With our collection of tenured experts, we provide an elevated managed service experience for a variety of clients. At Jolera, we treat each MSP partner with specialized care and uniquely organize our products for your individual business needs.
Who You Are
We are seeking an energetic, passionate individual with strong communication skills and the ability to work collaboratively. You are a self-starter who thrives in an environment of personal accountability and enjoys being part of a challenging outcome orientated culture. You want to build your career by digging in being a part of a high-performance team where there is an opportunity to up your game, sharing your knowledge and working with some of the best in the business.
What You Will Do
You’ll design, deploy, and operate scalable Elastic (Elasticsearch, Logstash, Kibana) environments that power cybersecurity analytics, threat hunting, and data-driven detection use cases. You’ll own reliable log ingestion pipelines, optimize cluster performance, and turn technical outcomes into clear insights for both technical and non-technical stakeholders.
Key Responsibilities
- Design and operate distributed Elastic clusters, including capacity planning, performance tuning, and scaling strategy
- Build and maintain ingestion pipelines aligned to security frameworks and Elastic Common Schema (ECS)
- Manage large-scale Elastic Agent and Fleet deployments
- Serve as the SME for log ingestion, parsing, normalization, and analysis
- Deliver Elastic infrastructure as code (IaC) and automate deployments/configuration where possible
- Develop and maintain Logstash pipelines (e.g., Syslog and other structured/unstructured sources)
- Integrate multiple data sources and third-party platforms into Elastic with clean, searchable data models
- Create automation/scripts to detect anomalies and improve operational workflows
- Build dashboards, visualizations, and investigation workflows in Kibana
- Continuously improve reliability and efficiency by optimizing pipelines, automating manual work, and enhancing architecture
- Support development of network intrusion analytics in collaboration with a broader detection/engineering team
- Administer supporting Linux systems for Elastic components and data pipeline services