Platform Engineer

• Own, maintain, and improve CI/CD pipelines and internal delivery tooling for Public Warning products.
• Design and develop reusable Jenkins and GitLab pipeline templates and automation frameworks.
• Drive automation across deployments, upgrades, configuration management, operational workflows, and technical documentation.
• Work within Kubernetes-based environments across both cloud and on-premise infrastructures.
• Support and optimize infrastructure hosted within AWS and OVH environments.
• Use technologies such as Ansible, Helm, Terraform, Python, and scripting to reduce manual operational effort and improve platform reliability.
• Enhance certificate management, observability, monitoring, logging, and operational readiness across environments.
• Work with technologies including Grafana, Zabbix, OpenTelemetry, HAProxy, MariaDB, Kafka, and OpenShift.
• Create and maintain scripts, installation materials, operational runbooks, and technical documentation for Engineering and Professional Services teams.
• Collaborate with customer-facing teams and occasionally participate in customer discussions to better understand deployment challenges and operational pain points.
• Support escalations and troubleshooting activities when required. There is currently no formal on-call rotation associated with this role.

Senior Platform Engineer

• Own the continuity and evolution of OrderYOYO’s modern data platform during a critical scaling phase.
• Lead the migration from legacy reporting and metric tooling into a governed Microsoft Fabric platform.
• Keep business-critical BI and semantic models reliable.
• Improve data pipeline stability and monitoring.
• Support CRM data integration.
• Provide senior technical leadership for data engineering delivery.
• Lead hands-on Microsoft Fabric architecture across lakehouse, warehouse, notebooks, semantic models, Git-backed delivery and production governance.
• Drive migration from legacy reporting and metric tooling into a governed Fabric semantic layer, including parity testing, stakeholder sign-off and safe decommissioning.
• Own and improve data pipelines across APIs, files, events and operational stores; establish robust orchestration, monitoring, alerting, data-quality checks and incident response.
• Design high-quality Power BI semantic models, DAX measures and reusable metric definitions for leadership, finance, commercial, product, marketing, payments and support reporting.
• Support CRM and operational data integrations, including outbound data feeds, identity mapping, schema mapping, reverse-ETL patterns and monitoring.
• Create reliable ingestion and modelling patterns for acquired businesses, so future integrations are repeatable, auditable and faster to execute.
• Set data-engineering standards: definition of ready/done, code review, release discipline, documentation, runbooks and platform change governance.
• Mentor engineers and analysts and translate business-critical data needs into pragmatic technical delivery.

Senior Data Platform Engineer

• Contribute to architecture, design, and implementation of observability systems
• Manage existing Observability tools and assist users
• Scale systems and ensure reliability to meet 99.95% SLOs
• Participate in incident management process
• Support navigation tooling

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Senior Platform Engineer

Senior Data Platform Engineer

Platform Engineer – Observability