• Coordinate architecture across Network, Security, Identity, AI Platform, and Delivery teams • Drive architectural decisions and maintain ADRs • Design and maintain multicloud reference architectures and deployment patterns • Review Terraform, AVM modules, and policy-as-code implementations • Mentor DevOps Engineers and support delivery teams • Translate architecture decisions into delivery-ready implementation patterns • Support stakeholder communication and solution proposals.

• Design, configure, and implement Salesforce Sales Cloud solutions aligned with FordPro commercial sales processes. • Develop custom solutions using Apex, Lightning Web Components (LWC), Flows, and declarative tools. • Build scalable data models supporting fleet customers, multi-account hierarchies, and complex opportunity structures. • Optimize Lead, Account, Contact, Opportunity, Quote, and Sales Agreement processes. • Implement and support integrations between Salesforce and Order Management Systems, Dealer Management Systems, ERP platforms, Identity & Access Management systems. • Utilize APIs (REST/SOAP), Platform Events, CDC, and middleware platforms (e.g., MuleSoft). • Ensure consistent and authoritative data flow across FIN, ProID, SCAID, and related systems. • Support real-time and batch data synchronization strategies. • Follow CI/CD best practices using DevOps or equivalent pipelines. • Support Dev, SIT, UAT, and Production deployment strategies. • Maintain version control and release governance. • Monitor system health, integration reliability, and API limits.

Role Description Als Senior Entwickler*in bringst du eine mehrjährige Erfahrung in der Software-Entwicklung mit und bist maßgeblich an der Konzeption und dem Ausbau unserer neuen serverless cloud-native Software-Plattform auf Basis von AWS beteiligt. - Implementierung skalierbarer NodeJS Services im Backend - Effiziente Verwaltung der Infrastruktur mittels AWS CDK (Infrastructure as Code) - Entwicklung moderner Frontend-Komponenten mit Svelte - Gestaltung, Präsentation und Evaluation zukunftsweisender technischer Lösungen im agilen Team - Erstellung und Evaluierung von komplexen Cloud-Architekturkonzepten - Definition technischer Standards sowie Best Practices innerhalb des Entwicklungsteams Unser moderner Tech Stack: NodeJS | AWS | Cloud-Native | GitHub | Typescript | Svelte Qualifications - Mehrjährige Erfahrung als DevOps oder Cloud Engineer in komplexen Umgebungen mit AWS (EC2, Lambda, etc.) - Sehr gutes Verständnis von Cloud-Architekturen, Netzwerktechnologien (z. B. VPC, Security Groups) sowie IT-Security in der Cloud - Erfahrung in der Entwicklung mit NodeJS - Experte in Javascript & Typescript - Professional Working English Requirements - Kenntnisse in der Online-Reisebranche (nice-to-have) - Mehrjährige Erfahrung in Frontend-Entwicklung mit Svelte (nice-to-have) - AWS Kenntnisse (nice-to-have) Benefits - Arbeiten auf einem modernen Tech-Stack und Teil einer Produktneuentwicklung für die Tourismus-Branche - Zusammenarbeit mit externen Experten und einem hochambitionierten internen Developer Team - Internationales Team, flache Hierarchien und regelmäßige Team-Events - Großartiges Arbeitsklima mit team- und lösungsorientierter Arbeitsweise - Flexibles, familienfreundliches Arbeitszeitmodell - Office Standort: Hamburg, 100% Home Office möglich - 30 Tage Urlaub und unbefristeter Arbeitsvertrag in Vollzeit - Attraktive Vergütungs- & Weiterbildungsmöglichkeiten - Teil eines sympathischen Teams in einem dynamischen Umfeld

• Be an active member of the team to build, own cloud based platform, its services, Devops pipelines for AI Model deployment, development pipelines, and provisioning public Cloud Native platform infrastructure in AWS or Azure or GCP. • Develop and maintain Infrastructure as a Code (IaC) scripts to deploy cloud resources through pipelines and automate application installs. • Continually evolve deployment methods and processes to effectively deliver products across all environments. • Will be responsible for building docker containerization pipelines for Nvidia Nemo/NIM models and services. • Will be involved in Containerization and Containers orchestration using Kubernetes. • Good experience in setting up end to end CI/CD using AWS/Azure Devops (components such as web app, function app, logic app and APIM). • Building feedback loops to transfer data from client end to optimization hub in WNS environment. • Will be involved in integrating platform with other tools like Junit, Jmeter, Jira, Jenkins etc. • Will be involved in sandbox cloud VM creation and replication for multiple users where they can collaborate to dev AI/Agentic AI applications. • Will be involved in scaling product deployment - Authentication, Authorization, Session management, rest APIs and code building to scale applications which can be used by 10K+ users. • Should have experience with AI Model versioning, code versioning through SVN and Git repository configuration and management. • Collaborate with the senior members of the AI Software Engineering team, Product Manager, and Product team to continuously improve the processes for the implementation, operation, and maintenance of the platform. • Implement automation, monitoring, logging, alerting, and deployment solutions to improve buildAI Model deployment experience and developer productivity. • Ensure that all cloud solutions follow internally defined security and compliance standards and controls. • Also take care of Containers and Code security while deploying the product/solution in client environment. • Being the Cloud Native advocate to challenge status quo and ensure leveraging the full capabilities of the Cloud Platform.