At JTI we celebrate differences, and everyone truly belongs. 46,000 people from all over the world are continuously building their unique success story with us. 83% of employees feel happy working at JTI.
To make a difference with us, all you need to do is bring your human best.
What will your story be? Apply now!
Learn more: jti.com
- Define, maintain and drive the adoption of CDI engineering standards, reusable patterns, secure coding practices and quality gates across integration products and delivery teams.
- Design and improve the CDI AI-enabled software delivery lifecycle, including AI-assisted engineering, automated testing, evaluation, review and human approval controls.
- Improve engineering tooling, CI/CD, automation, environments and developer workflows in partnership with the Delivery Manager, Platform Architect and engineering contributors.
- Establish engineering metrics and assurance practices that improve testability, maintainability, security, scalability and reuse, while ensuring visibility of technical debt and quality trade-offs.
- Coach internal teams and external partners, share reusable practices, assess emerging engineering capabilities and translate learning into practical delivery improvements.
- Recruit, motivate and support the professional development of team members reporting directly and indirectly to the role.
- University degree or equivalent in Computer Science, Information Systems, or a related field.
- 8+ years of experience in software, data, integration, platform, or DevOps engineering within enterprise environments.
- Strong knowledge of Azure cloud platforms, CI/CD, test automation, observability, and engineering best practices.
- Experience defining engineering standards, quality gates, and secure software delivery practices.
- Proven ability to lead engineering improvements across teams and external partners, driving quality, reliability, and delivery outcomes.
- Knowledge of DevSecOps, automated testing, and engineering governance. Experience with Azure DevOps and GitHub Enterprise is an advantage.
- Experience with AI-assisted engineering, developer productivity tools, and engineering metrics. GitHub Copilot experience is an advantage.
- Experience with data and integration platforms is an advantage, including technologies such as Azure Data Factory, Azure Databricks, Microsoft Fabric, Purview, Event Hub, Event Grid, API Management, and Azure Functions.
- Strong communication, coaching, stakeholder management, and influencing skills.
- Fluent written and spoken English.
- Relevant professional certifications are an advantage.
- Development opportunities in an international environment, with access to diverse projects, learning platforms and professional courses.
- The opportunity to shape engineering standards and AI-enabled delivery practices for a global integration capability.
- A culture of trust, ownership and “freedom with responsibility”.
- Flexible work arrangements, depending on the selected location.
- A diverse and inclusive workplace where you can bring your human best.
- Family Leave
- Investment
- Life Insurance
- Medical Care
- Multisport Card
- Pension Plan

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