Innovation Platform Engineer

Job summary

The Innovation Platform Engineer role is centered on developing and operationalizing technology platforms that foster innovation within the firm. Responsibilities include leading the creation of cloud environments on Microsoft Azure and Google Cloud Platform, implementing Infrastructure as Code, and designing secure architectures while collaborating with various teams to ensure adherence to engineering standards.

Qualifications

• strong engineering experience across Microsoft Azure and Google Cloud Platform
• experience building and managing cloud-native platforms and services
• expertise in Infrastructure as Code, automation and platform engineering practices
• experience implementing CI/CD pipelines and DevSecOps methodologies
• knowledge of containerisation and orchestration technologies such as Docker and Kubernetes
• experience designing secure, API-driven architectures and integrating enterprise security controls
• hands-on experience with AI engineering platforms, large language models, orchestration frameworks and AI solution development
• familiarity with tools such as GitHub, Azure DevOps and automated deployment pipelines
• exposure to Power Platform, Zapier, Make or other low-code/no-code technologies

Responsibilities

• Lead the development and evolution of the innovation platform across Azure and GCP
• Design reusable cloud architectures, landing zones, deployment pipelines and shared engineering services
• Build secure, scalable and automated cloud environments using Infrastructure as Code and DevSecOps principles
• Establish engineering standards, technical guardrails and operational best practices
• Implement monitoring, observability and support capabilities for innovation services
• Partner with engineering and operational teams to transition successful prototypes into production
• Develop and optimise CI/CD pipelines across multi-cloud environments
• Support platform governance, resilience and cost optimisation
• Design and build prototypes and proof-of-concept solutions to validate new ideas quickly and effectively
• Work iteratively, incorporating user feedback to improve solutions and accelerate learning
• Document technical designs, architecture decisions and implementation approaches
• Help assess and shape solutions progressing through the innovation pipeline
• Engineer AI-enabled solutions leveraging Azure AI, Vertex AI, large language models and emerging agentic frameworks
• Evaluate new technologies and assess their practical application within a professional services environment
• Translate cutting-edge technical capabilities into scalable business solutions
• Provide technical insight and feasibility assessments for innovation initiatives
• Work closely with Innovation stakeholders to understand business challenges and user needs
• Partner with Enterprise Architecture, Security, Data and Infrastructure teams to ensure solutions align with firm standards
• Support testing and adoption activities, rapidly responding to feedback and enhancements
• Prepare successful solutions for production implementation through documentation, knowledge transfer and operational readiness

Skills

Relocation