FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and optimizing enterprise Elastic environments, including advanced proficiency in Elasticsearch architecture, AWS services, and automation practices. Capable of leading technical initiatives, mentoring engineers, and ensuring high availability and performance of data platforms.
Highest-signal resume keywords
Elastic Certified EngineerElastic Certified Observability EngineerExpert-Level Knowledge of Elasticsearch ArchitectureStrong Programming Skills in Python, Java, or RubyProven Cybersecurity Background
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Elasticsearch ArchitectureElasticsearch Query DSLData Parsing and TransformationCapacity Planning and Cluster OptimizationCI/CD Pipeline DesignLogstash and Ingest PipelinesAdvanced Detections and DashboardsInfrastructure AutomationAWS Services OptimizationLinux Administration
Soft Skills
Effective CommunicationTechnical LeadershipMentoring Engineers
Tools & Technologies
AWSKibanaElastic SecurityElastic ObservabilityGROKDISSECT
Certifications & Qualifications
Elastic Certified EngineerElastic Certified Observability Engineer
Industry Keywords
Enterprise Elastic EnvironmentsOperational ExcellenceHigh AvailabilityData QualityPlatform Modernization
Tech Stack
Tools & technologiesAWSCloudCyber SecurityElasticSearchJavaLinuxLogstashPythonRuby
About the role
Key responsibilities & impact- 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 ECS-aligned normalization standards
- 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
- Integrate diverse security and observability telemetry sources while maintaining 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 broader platform operations
- Monitor and optimize costs 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
Requirements
What you’ll need- Elastic Certified Engineer
- Elastic Certified Observability Engineer
- 5+ years of hands-on experience with enterprise Elastic environments
- Strong experience with Elastic Security and Elastic Observability
- Expert-level 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 effectively across engineering and business stakeholders
- Preferred: Experience leading platform modernization or migration initiatives
- Preferred: Experience designing multi-cluster or multi-region Elastic architectures
- Preferred: Experience building reusable engineering standards, patterns, and operational playbooks
- Preferred: Experience mentoring engineers in enterprise platform teams
Benefits
Comp & perks- Competitive compensation package
- Competitive benefits package
- Company events, recognitions, and celebrations
- Career development and growth opportunities
- Commitment to diversity, equality, and inclusion