Lead Operational Intelligence Engineer

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Operational Intelligence

Our team is seeking a dynamic, highly experienced professional to fill the role of Lead Operational Intelligence Engineer.

This role involves taking charge of developing, maintaining, and enhancing our cloud-based Elastic & Observability Platform. The successful candidate will spearhead strategic initiatives, mentor a top-performing technical team, and maintain platform reliability while promoting innovation and self-service capabilities for platform users. On-call rotation duties for monitoring platform health and functionality are also part of this position.

Чим ви будете займатися у цій ролі

Ensure observability and search platforms exceed business SLAs in terms of availability, functionality, performance, and security
Deliver technical leadership when complex incidents arise and ensure prompt escalation of resolutions during on-call shifts
Create and maintain thorough platform documentation, standard operating procedures, and knowledge-sharing materials
Work with cross-functional teams, stakeholders, and vendors to manage operational needs, advance strategic initiatives, and handle installations, troubleshooting, and upgrades
Drive improvements to platform features and self-service tools, including advanced Elastic Synthetics and automated chargeback processes
Design and build proofs-of-concept to advance platform innovation, such as AI-driven observability, sophisticated data processing models, or migration to Kubernetes-based platforms
Guide the construction, deployment, and upkeep of Elastic clusters using Infrastructure-as-Code tools such as Terraform and Ansible, and coach team members on best practices
Manage platform lifecycle tasks, such as component upgrades, capacity planning, cost optimization, and adapting to new compliance requirements
Regularly evaluate and optimize ELK stack performance, covering ingestion, indexing, and query tuning for large-scale environments
Build and improve alerting and incident management processes by integrating advanced monitoring tools like Kibana Rules, Watchers, and PagerDuty
Manage the ingestion, enrichment, backup, and restoration of large-scale platform data, optimizing data workflows along the way
Direct and plan major operational events, including SSL certificate rotations, cluster migrations, and scalability optimization efforts

Навички

At least 5 years of experience in Operational Intelligence, demonstrating leadership and technical skill in managing large-scale observability platforms
Proven ability to design and oversee Elastic clusters within complex, multi-cloud environments
Comprehensive knowledge of Elastic Stack components, including advanced setups of Elasticsearch, Kibana, and Logstash
High-level skills in Infrastructure-as-Code tools such as Terraform and Ansible, with flexibility to work with tools like Jenkins CI or GitOps frameworks
Strong Python scripting abilities for automating processes, handling data, and expanding platform interoperability
Solid grasp of incident management frameworks and workflows using tools such as PagerDuty, Uptrends, and other enterprise monitoring platforms
Demonstrated success in diagnosing and resolving intricate platform issues within strict SLA timeframes
Strong skills in managing and scaling fault-tolerant platforms, ensuring performance, security, and compliance across large distributed systems
Proven track record of mentoring team members, managing priorities, and serving as a liaison between technical and non-technical groups
Strong English communication skills (B2+ level), both written and verbal, with an emphasis on technical communication

Буде перевагою

Skills in Groovy scripting or advanced Linux administration experience to streamline platform operations
History of enhancing observability workflows through custom integrations in tools such as Uptrends, PagerDuty, or Elastic
Practical experience configuring advanced Elastic Synthetics for reliable monitoring and custom synthetic testing
Background in leading strategic initiatives like AI-driven modernization, cloud-native migrations, or cost-saving observability improvements