Jira & DevOps Integration Engineer | Xray | CI/CD | Jenkins

CodeNinja is a next-generation technology consulting firm specialising in AI-powered transformation, enterprise software delivery, and Quality Engineering. Headquartered in the Gulf region and operating across the MENA, South Asia, and global markets, CodeNinja partners with Tier-1 banks, government entities, and large enterprises to design, build, and run mission-critical technology programs.

With deep expertise in QA transformation, test automation, DevOps modernisation, and AI/ML engineering, CodeNinja's teams combine global delivery standards with in-market contextual knowledge — ensuring outcomes that are compliant, scalable, and commercially aligned with client objectives.

For the Client's Test Management Enablement & Automation engagement, CodeNinja brings a dedicated 12-person specialist team spanning Test Management, Automation Engineering, AI/ML, and Performance Testing — all governed under a structured 20-week program delivery framework.

The Jira Integration & DevOps Engineer builds the two-way Client-Jira and Xray integration, configures CI/CD pipelines, sets up distributed runners, and creates automation coverage dashboards. This role is the connective tissue between the automation framework and the client's project governance infrastructure.

•        Build and maintain two-way integration between the automation framework and the client's Jira + Xray instance via REST APIs.

•        Sync test plans, test cases, execution results, screenshots, and logs automatically from automation runs to Xray.

•        Configure Jenkins or GitLab CI/CD pipelines with automated test execution gates (smoke, regression, performance).

•        Set up distributed/parallel test runners for scalable execution.

•        Build real-time automation coverage dashboards showing pass/fail trends, coverage %, and defect traceability.

•        Manage Jira project configuration, custom fields, workflows, and Xray test repository structure.

•        Support nightly scheduled regression runs and on-demand execution triggers.