Jobs at ujet.cx

Own and evolve UJET’s data platform, including MySQL CDC replication to BigQuery, dbt transformations, Terraform infrastructure, pipelines, data quality, observability, and Looker models. Build reliable, analytics-ready datasets and trusted metrics for internal and customer-facing reporting. Partner with Analytics, Finance, Product, and Engineering to deliver scalable data solutions, improve platform reliability, optimize performance and costs, and establish development standards and guardrails.

Deploy and troubleshoot complex enterprise software integrations for customers using APIs, lightweight code, logs, and AI-powered virtual-agent configurations. Translate requirements into production-ready solutions, develop scripts and proofs of concept, validate AI responses, resolve technical issues, support testing and launches, and collaborate with customers, architects, engineering, product, and support teams. The role also creates reusable integration patterns, documentation, and deployment tooling for future programs.

Own complex customer issues from intake through resolution by investigating logs, APIs, cloud systems, SQL, telecommunications, and contact-center platforms. Coordinate escalations and high-severity incidents across Engineering, SRE, Product, customers, and telecom providers. Participate in on-call support, execute approved production changes, communicate technical findings, create troubleshooting documentation, and contribute to root-cause analyses and process improvements.

Own complex customer issues from intake through resolution by reproducing problems, analyzing logs and telemetry, troubleshooting CCaaS and telecommunications systems, coordinating escalations, and communicating with customers and internal teams. Participate in on-call support for critical incidents, execute approved production changes, coordinate incident response, create root-cause analyses and playbooks, and improve support processes and documentation.

Lead and scale SRE function: define SLIs/SLOs and error budgets, build observability (metrics, logging, tracing, alerting), automate toil, lead incident response and postmortems, partner on resilient architecture, create reusable operational tooling, and mentor engineers.

Build and maintain full-stack product features, backend services, APIs, data pipelines, and AI integrations to transform customer interaction data into AI-powered experiences. Collaborate with cross-functional teams to design, test, and support production systems, internal tools, and user-facing interfaces. Own ambiguous problems end-to-end and raise engineering quality across the data and AI platform.