Senior Elastic Engineer

Jolera — Poland · Posted ~6 hours ago

Senior Full-time

Skills

Elastic Stack architecture scalability resilience high availability Logstash ingest pipelines data modeling ECS root cause analysis observability security Elasticsearch

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Summary ✨ AI‑Generated

Lead the architecture and continuous improvement of enterprise Elastic environments supporting security and observability. You will design scalable and resilient platforms, optimize high-volume ingestion and data pipelines, establish data standards, resolve complex platform issues, and guide operational and architectural best practices.

Highlights

Senior technical leadership role combining hands-on Elastic engineering with architecture and platform strategy. Focus areas include high availability, performance, cost efficiency, advanced ingestion pipelines, observability, security, and enterprise-scale resilience.

Description

Role Overview The Senior Elastic Engineer leads the design, optimization, and strategic evolution of Elastic environments that support advanced security and observability use cases. This role combines deep hands-on engineering with architectural leadership, with responsibility for scalability, resilience, platform standards, and complex solution design across enterprise environments. Key Responsibilities 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 with strong operational standards 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 broader 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 Requirements 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 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 Benefits What We Offer Competitive compensation packageCompetitive benefits packageCompany events, recognitions, and celebrationsCareer development and growth opportunities At Jolera, we are committed to creating a diverse, equal and inclusive. Our goal is to attract and retain the best talent while embracing diversity in all its forms. We value and respect differences in ethnic background, gender, age, religion, identity, disability, or any other characteristic protected by applicable law.