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• Design, develop, test, deploy and maintain software in a thriving environment
• Manage individual project priorities and deliverables whilst working in a team who enjoy knowledge sharing sessions

• Build scalable AI-supported products, services and internal tools that improve business processes, efficiency and measurable outcomes.
• Act as a sparring partner for leadership, product owners and engineering teams to identify and prioritise high-impact AI opportunities.

Build scalable software solutions such as backend services and APIs that support our business processes and own the continuous development of our platform....

• Work with a wide range of systems, processes and technologies to own and solve problems from end-to-end
• Uphold high engineering standards and bring consistency to the many codebases and processes you will encounter
• Work with engineers across the company to build new features at large-scale

Solution Development: Design and develop customised solutions within Salesforce to meet project objectives and business goals, ensuring robust functionality and seamless user experiences....

• Platform & feature Management
• Support in the preparation of market and internal stakeholders' communications, workshops and events
• Manage technical requirements from stakeholders
• Evaluate, prioritize, and steer timely feature implementation

End-to-End Data Lifecycle Ownership: Lead the design and implementation of tracking strategies that cover the entire lifecycle: from initial requirements gathering to Generation, and finally to automated Validation....

• Lead and shape system studies to define the evolution of next-generation cloud and network architectures.
• Conceptualize, design and deliver AI prototypes and PoCs, and assess their technical and customer impact.

• Design, build and operate scalable test automation frameworks for enterprise environments
• Drive and consult on test automation strategies for our customers
• Develop and maintain automated test cases (e.g. regression, integration, system and acceptance tests)

• As a systems engineer, you will work closely with colleagues in the project teams
• If you are interested and suitable, you will also participate in software development for air traffic control products
• You will act as the technical interface between the customer and our internal contacts

• Formulate, evangelise, and drive adoption of the product security strategy
• Assess, advise on, and increase the security maturity posture
• Create a standardised security architecture and operational best practices
• Help track and drive remediation of security and technology risks

• Formulate, evangelise, and drive adoption of the product security strategy
• Assess, advise on, and increase the security maturity posture
• Create a standardised security architecture and operational best practices
• Help track and drive remediation of security and technology risks

Drive the Cloud Infrastructure Security function roadmap in alignment with the Product Manager, Tech Lead, and Engineering Manager....

• Take end-to-end ownership of large, business-critical initiatives, ensuring strategic impact and sustainable outcomes.
• Act as a recognized expert, setting technical and architectural standards across complex domains.

• Work closely with Product Management to understand the business needs and find appropriate technical solutions
• Design, own and operate scalable, secure payment systems that handle financial transactions efficiently in a multi‑tenant Cloud/SaaS environment

• Own the evolution of our Next.js App Router storefront, ensuring it remains performant and maintainable.
• Design and implement sophisticated caching and rendering patterns, balancing SSR, ISR, RSC, and PPR to optimize user experience.

• Supporting a team of systems engineers, systems architects, and hardware engineers in the deployment of customer systems
• Applying the requirements engineering process to define functional and non-functional system requirements based on user requirements

As a Machine Learning Engineer in our Retail ML team, you will take end‑to‑end ownership of designing, developing and maintaining advanced machine learning solutions that directly influence our commercial performance. Your work will span dynamic pricing, demand forecasting and data‑driven buying...

Where you belong: Where you belong: ...

Where you belong: Where you belong: ...