Senior Elastic Engineer

Jolera is a Global Systems Integrator (GSI) focused on innovation and technology, empowering employees to explore new ideas and achieve success globally.

• Elastic Certified Engineer
• Elastic Certified Observability Engineer
• 5+ years hands-on experience with enterprise Elastic environments
• Strong experience with Elastic Security and Elastic Observability
• Expert knowledge of Elasticsearch architecture including indexing, sharding, replication, search, and query performance
• Expertise in Elasticsearch template optimization and relevance fine-tuning
• Proven experience operating large, highly available Elasticsearch clusters in production
• Deep expertise in capacity planning, cluster optimization, scaling, and platform hardening
• Advanced proficiency in Elasticsearch Query DSL and search optimization
• Strong programming and automation skills in Python, Java, Ruby, or similar languages
• Proven cybersecurity background with experience in threat detection, attack techniques, telemetry, and defensive operations
• Deep knowledge of Elastic security controls including RBAC, encryption, detection rules, machine learning, and AI Assistant capabilities
• Extensive experience with data parsing, enrichment, and transformation using GROK, DISSECT, Logstash, and Elasticsearch ingest pipelines
• Experience with advanced detections, Watchers, dashboards, and observability views
• Strong experience supporting Elastic deployments in AWS-backed environments
• Working knowledge of AWS services including S3, compute, networking, IAM, monitoring, and cost management
• Strong Linux administration skills in distributed data platform environments
• Demonstrated ability to lead technical initiatives and communicate across engineering and business stakeholders

Preferred Qualifications:

• Experience leading platform modernization or migration initiatives
• Experience designing multi-cluster or multi-region Elastic architectures
• Experience building reusable engineering standards, patterns, and operational playbooks
• Experience mentoring engineers in enterprise platform teams

• Lead the architecture, design, and continuous improvement of enterprise Elastic environments
• Define and enforce best practices for scalability, resilience, lifecycle management, and operational excellence
• Support and optimize platform strategy for high availability, retention, performance, and cost efficiency
• Lead root cause analysis and resolution of complex platform, pipeline, and data issues
• Design and govern ingestion pipelines, data models, and normalization standards aligned to ECS
• Build and optimize advanced Logstash and ingest pipelines for high-volume and diverse data sources
• Lead large-scale Elastic Agent and Fleet deployments for endpoint and observability use cases
• Drive integration of diverse security and observability telemetry sources with high data quality
• Design and optimize AWS-backed Elastic infrastructure including S3, compute, networking, IAM, and related cloud services
• Design production grade CI/CD pipelines
• Leverage AWS services for snapshot strategy, retention, archival, and platform operations
• Monitor and optimize cost drivers across compute, storage, ingestion, and retention
• Automate infrastructure provisioning and configuration using infrastructure-as-code
• Design advanced Kibana dashboards, detection workflows, observability views, and executive reporting
• Partner with detection engineering, infrastructure, and leadership teams to define requirements and roadmap priorities
• Identify opportunities to improve detection coverage, platform reliability, and observability maturity
• Mentor engineers, review technical designs, and contribute to platform roadmap planning