Jobs at Convatec

Implement, operate, and improve AWS/Azure cloud platforms. Build and maintain Infrastructure-as-Code (Terraform, Bicep, CloudFormation), automate operational tasks, troubleshoot incidents, participate in major incident response and RCA, improve reliability and scalability, and maintain runbooks and documentation while collaborating with architecture, security, and networking teams.

Design, build and deploy production AI agents, workflows and data integrations on Microsoft AI platform. Collaborate with stakeholders, implement DevOps/MLOps, monitor models, ensure governance and reusable patterns, and continuously improve solutions.

Provide in-house support and development for Siemens Teamcenter PLM in a regulated medical device environment: resolve Tier 1-3 incidents, develop custom ITK/BMIDE/Active Workspace solutions, manage server administration and migrations, author controlled validation and technical documentation, support CSV activities and audits, manage change control, and deliver end-user training and helpdesk support.

Lead and manage a Teamcenter support team, act as escalation point for complex incidents, design/customise Teamcenter using ITK/BMIDE/AWC, oversee server administration, maintain validated state via CSV (IQ/OQ/PQ), author controlled validation and technical documentation, manage change control and audits, and coach the support team to meet SLAs in a regulated medical device environment.

Coordinate and deliver training for an SAP S/4HANA transformation: plan schedules, organise sessions and logistics, create and update training materials with SMEs, track attendance and completion, report progress, gather feedback, and support post-go-live refresher and user readiness activities.

Design, build and deploy AI workflows using Azure AI, Copilot Studio and Microsoft Fabric; integrate solutions with SAP and Salesforce; own end-to-end delivery, DevOps/MLOps/AIOps practices, governance, monitoring, and stakeholder adoption; provide technical leadership and reusable patterns to scale AI adoption across the business.