Back to SearchLead Operational Intelligence Engineer
Remote in Mexico, & 4 others
Operational Intelligence
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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