Teams at Test Triangle

Build and support data pipelines, data assets, integrations, and models for enterprise analytics. Manage datasets for feature engineering, APIs, and ingestion; implement ETL across platforms; create reusable real-time and analytical data assets; and establish data quality monitoring and alerting. Collaborate with data scientists, data wranglers, and technical teams, with preferred hands-on GCP experience.

Provide onsite and remote desktop support in London, troubleshooting hardware, software, network, application, and access issues. Install, configure, deploy, maintain, and track devices and peripherals. Manage incidents and service requests within SLA targets, document resolutions, support users, coordinate escalations and vendors, and maintain security, compliance, asset, and service records.

Designs, implements, administers, and improves DevOps tooling and Azure infrastructure, with an initial focus on artifact management and repository modernization. Responsibilities include CI/CD tool administration, Kubernetes and Helm operations, infrastructure sizing, security improvements, monitoring, troubleshooting, migrations, automation, vulnerability management, and outage remediation. The role also evaluates requirements, configures build automation, supports high availability, and collaborates across global technology teams.