We are looking for a highly experienced and dynamic Lead Operational Intelligence Engineer to join our team. In this role, you will take ownership of leading the development, maintenance, and enhancement of our Elastic & Observability Platform deployed across cloud environments. You will drive strategic initiatives, guide a high-performing technical team, and ensure platform reliability while fostering innovation and enabling self-service capabilities for platform consumers. This position also involves participating in an on-call rotation to oversee platform health and functionality. Responsibilities Oversee the availability, functionality, performance, and security of observability and search platforms to exceed business SLAs Provide technical leadership during complex incidents and escalate resolutions promptly during on-call periods Develop and maintain comprehensive platform documentation, standard operating procedures, and knowledge-sharing resources Collaborate with cross-functional teams, stakeholders, and vendors to oversee operational requirements, drive strategic initiatives, and manage installations, troubleshooting, and upgrades Lead the enhancement of platform features and self-service capabilities, including advanced Elastic Synthetics and chargeback automation Architect and implement proof-of-concepts for platform innovation, such as AI-driven observability, advanced data processing models, or Kubernetes-based platform migration Supervise the building, deployment, and maintenance of Elastic clusters using Infrastructure-as-Code tools like Terraform and Ansible, while mentoring team members on best practices Oversee platform lifecycle management activities, including component upgrades, capacity planning, cost optimization, and evolving compliance requirements Continuously assess and fine-tune ELK stack performance, including ingestion, indexing, and query optimization for large-scale environments Establish and enhance comprehensive alerting and incident management workflows, integrating sophisticated monitoring tools such as Kibana Rules, Watchers, and PagerDuty Supervise the ingestion, enrichment, backup, and restoration of large-scale platform data while optimizing data workflows Lead and plan critical operational events such as SSL certificate rotations, cluster migrations, or scalability optimization projects Requirements 5+ years of experience in Operational Intelligence, with a proven track record of leadership and technical expertise in managing large-scale observability platforms Demonstrated ability to architect and manage Elastic clusters in complex, multi-cloud environments In-depth knowledge of Elastic Stack components, including advanced configurations of Elasticsearch, Kibana, and Logstash Advanced proficiency in Infrastructure-as-Code tools like Terraform and Ansible, with demonstrated flexibility in adapting other tools like Jenkins CI or GitOps frameworks Advanced Python scripting skills for automation, data processing, and extending platform interoperability Deep understanding of incident management frameworks and workflows with tools like PagerDuty, Uptrends, and other enterprise monitoring solutions Proven expertise in troubleshooting and resolving complex platform challenges under tight SLAs Strong capability in managing and scaling fault-tolerant platforms while ensuring performance, security, and compliance across large distributed systems Demonstrated ability to mentor and grow team members, manage priorities, and act as a bridge between technical and non-technical teams Excellent command of English (B2+ level), both written and spoken, with a strong emphasis on technical communication skills Nice to have Expertise in scripting with Groovy or experience in advanced Linux administration to optimize platform processes Track record of optimizing observability workflows with additional integrations or customizations in tools like Uptrends, PagerDuty, or Elastic features Hands-on experience with advanced Elastic Synthetics setups for robust monitoring and custom synthetic testing frameworks Experience driving strategic initiatives such as modernization through AI tooling, cloud-native transitions, or cost-saving observability optimizations
