Maintain, support and enhance enterprise quality engineering platforms and tooling used across application delivery, including integration with CI/CD pipelines to enable automated, continuous testing.
Lead the implementation and administration of multi-vendor network environments, including switches, routers, firewalls, load balancers, and DNS appliances.
Build and operate the core knowledge graph and knowledge-management layer: ontology and metadata model, governed ingestion from enterprise sources, graph projection, and hybrid graph and vector retrieval
Platform Ownership: Define and deliver the end-to-end data platform — ingestion, storage, processing, and serving — spanning batch and streaming across the network and enterprise estate.
We are partnering with a globally recognised Taiwanese technology company in power management. Their research team is developing the next generation of power and cooling technologies for the fast-growing data center sector. You’ll work on early-stage projects with universities, suppliers and customers, turning new ideas into proof-of-concept designs.
Own end-to-end technical delivery for your team’s full-stack systems, setting technical direction in collaboration with product and stakeholder counterparts.
A leading investment organisation is seeking an Enterprise AI Platform Engineering Lead to build, operate, and scale its enterprise AI platform. This is a unique opportunity to establish the foundational platform that will enable secure, scalable, and governed AI capabilities across the organisation. Reporting to senior technology leadership, the role will lead the engineering strategy, platform architecture, and operational excellence required to support enterprise AI adoption. Responsibilities You will be responsible for defining and executing the enterprise AI platform strategy, building a secure, resilient, and scalable platform that enables business teams to develop and deploy AI solutions efficiently. The role will oversee the design, implementation, and day-to-day operation of the platform, ensuring high availability, performance, observability, security, and operational reliability. You will establish platform engineering and Site Reliability Engineering (SRE) practices, driving automation, infrastructure-as-code, DevSecOps, monitoring, incident management, disaster recovery, and continuous improvement across the platform. Working closely with enterprise architects, security teams, and business stakeholders, you will ensure the platform meets governance, compliance, and enterprise security requirements. The successful candidate will also manage external engineering partners and vendors, providing technical leadership, architectural oversight, and delivery governance while ensuring engineering quality and operational excellence. As AI capabilities continue to evolve, you will evaluate and incorporate emerging technologies where appropriate to future-proof the platform. Requirements You possess extensive experience leading platform engineering, cloud infrastructure, Site Reliability Engineering (SRE), or developer platform teams within large-scale enterprise or technology environments. You have a proven track record of building, operating, and scaling mission-critical digital platforms, with deep expertise in cloud infrastructure, Kubernetes, DevOps, Infrastructure-as-Code, observability, automation, and platform operations. You are comfortable owning production platforms throughout their lifecycle, including platform strategy, operational resilience, scalability, incident management, and vendor management. Experience leading outsourced engineering teams or implementation partners will be highly regarded. Experience with AI, machine learning platforms, or Generative AI technologies would be advantageous but is not essential. More importantly, you possess strong platform engineering fundamentals and are excited by the opportunity to build the enterprise platform that will underpin future AI capabilities. To Apply Please send your CV to sz@kerryconsulting.com quoting 36086. Only shortlisted candidates will be notified
VisionAir Productions creates large-scale immersive art exhibitions for international audiences. We are building a long-term production team for a series of upcoming international shows.
Own the strategy, health, and performance of the entire 24/7/365 infrastructure support function, helping scale coverage and capability across regions and domains as CoreWeave grows.
Lead and coordinate multidisciplinary functional and technical development teams, ensuring effective collaboration and delivery across assigned project workstreams.
Drive the scope, roadmap, architecture and end-to-end delivery of SGGC's AI transformation, digital product, workflow automation and technology platform capabilities, including the identification and prioritisation of practical AI use cases, translating them into deliverable solutions with clear adoption, governance and impact considerations.