Elastic Engineer

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.

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.

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.

• 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

• Certified Elastic Engineer
• Ability to configure, maintain, and troubleshoot multiple Elastic environments at on-premises and Elastic-Cloud.
• Experience with Elastic Stack architecture, design, and deployment.
• Deep understanding of Elasticsearch internals, including indexing, search, and data aggregation.
• Skills in managing enterprise level Elasticsearch clusters, handling cluster health, performance tuning, scaling, and ensuring high availability.
• Proficiency in Elasticsearch Query DSL for complex queries, aggregations, and data analytics.
• Proficiency in programming languages such as Java, Python, or Ruby. Knowledge of scripting languages for automation is also beneficial.
• Proven track record working in cybersecurity, understanding common attack vectors, threat landscapes, and defensive technologies.
• Proficiency in implementing security measures within Elasticsearch, such as role-based access control, encryption, index security, and audit logging.
• Skills in managing and analyzing logs and security events from various sources (firewalls, IDS/IPS systems, network devices, operating systems) using the ELK stack.
• Advanced ability to craft complex…