Lead Operational Intelligence Developer

We are looking for a highly experienced and dynamic Lead Operational Intelligence Developer 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 GCP and Elastic Cloud. 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 (IaC) 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 (IaC) 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