Engineering Manager – Platform (Cloud Platform Engineering). Location: London, United Kingdom. This on-site role leads a high‑performing Platform engineering squad to deliver scalable cloud platform solutions that align technical delivery with business outcomes. You will bridge technical strategy and business goals, grow engineering talent, and foster a culture of diversity, equity, inclusion, and respect. Responsibilities include providing direction and coaching for software engineers, overseeing end-to-end delivery of platform initiatives, translating requirements into technical roadmaps, driving engineering standards, and partnering with senior leadership to define the long‑term technical vision. You will champion a you-build-it-you-run-it culture, oversee incident response, and drive automation opportunities. Collaborate across teams to reach consensus on architectural and delivery trade‑offs; establish operating practices for enterprise‑authorized AI‑assisted development and SDLC/TLM automation, ensuring security, resiliency, and reuse of proven patterns. Apply knowledge of the software development life cycle toolchain to improve efficiency and enable capacity unlock, prioritizing reuse of firm technology assets. Ensure governance for data handling and responsible AI use in engineering workflows. Requirements include formal training in software engineering, strong leadership experience, cloud-native systems and Kubernetes expertise, agile delivery, excellent communication, and production systems management. Preferred qualifications include experience with Cloud Native

Engineering Manager – Platform (Cloud Platform Engineering). Location: London, United Kingdom. This on-site role leads a high‑performing Platform engineering squad to deliver scalable cloud platform solutions that align technical delivery with business outcomes. You will bridge technical strategy and business goals, grow engineering talent, and foster a culture of diversity, equity, inclusion, and respect. Responsibilities include providing direction and coaching for software engineers, overseeing end-to-end delivery of platform initiatives, translating requirements into technical roadmaps, driving engineering standards, and partnering with senior leadership to define the long‑term technical vision. You will champion a you-build-it-you-run-it culture, oversee incident response, and drive automation opportunities. Collaborate across teams to reach consensus on architectural and delivery trade‑offs; establish operating practices for enterprise‑authorized AI‑assisted development and SDLC/TLM automation, ensuring security, resiliency, and reuse of proven patterns. Apply knowledge of the software development life cycle toolchain to improve efficiency and enable capacity unlock, prioritizing reuse of firm technology assets. Ensure governance for data handling and responsible AI use in engineering workflows. Requirements include formal training in software engineering, strong leadership experience, cloud-native systems and Kubernetes expertise, agile delivery, excellent communication, and production systems management. Preferred qualifications include experience with Cloud Native