Cloud Architect

CHEP helps move more goods to more people, in more places than any other organization on earth via our 347 million pallets, crates and containers. We employ approximately 13,000 people and operate in 60 countries. Through our pioneering and sustainable share-and-reuse business model, the world’s biggest brands trust us to help them transport their goods more efficiently, safely and with less environmental impact. 

What does that mean for you? You’ll join an international organization big enough to take you anywhere, and small enough to get you there sooner. You’ll help change how goods get to market and contribute to global sustainability. You’ll be empowered to bring your authentic self to work and be surrounded by diverse and driven professionals. And you can maximize your work-life balance and flexibility through our Hybrid Work Model.

• →Design, build, and maintain cloud infrastructure for machine learning workflows, including data storage and bespoke frameworks supporting the BRIX platform.
• →Develop and implement automated CI/CD pipelines to ensure regular, reliable deployment of models into production using containerization tools to manage and package devices.
• →Implement monitoring and logging solutions to maintain high availability and performance of machine learning models, applications, and cloud infrastructure.
• →Contribute to automation efforts for infrastructure processes, including configuration management and provisioning to enhance operational efficiency and scalability.
• →Support Brambles' Serialization and Asset Digitization programs by setting up and maintaining IoT and Edge platforms, ensuring seamless integration with cloud services.
• →Ensure best practices in version control and documentation processes, contributing to the clarity and standardization of cloud operations.
• →Research and implement best practices for cloud infrastructure management, such as GitOps and Infrastructure as Code (IaC), enhancing the team's capabilities.
• →Mentor and support the Cloud Engineering team by sharing knowledge and staying up to date on emerging cloud technologies, driving continuous improvement and innovation.

• →Design and govern scalable, highly available and cost-efficient cloud architectures supported by clear documentation and standards.
• →Lead cloud security architecture, embedding Zero Trust, encryption, policy-as-code and compliance controls across all environments.
• → Evaluate, onboard and standardise cloud technologies and platforms across Kubernetes, data, and CI/CD ecosystems.
• → Drive Infrastructure as Code (Terraform/GitOps) and automation standards across cloud, containerised and serverless platforms.
• → Establish monitoring, logging, tracing, and reliability practices to ensure platform health and operational excellence.
• →Lead and mentor a team of Cloud and Security Engineers, fostering technical excellence and DevSecOps best practices.

• Well-Architected Infrastructure: Maintain high availability, cost efficiency and resilience across public cloud environments.
• Secure Design Principles: Achieve zero critical security drift through automated policy enforcement, shift-left security, and compliance readiness.

Required Skills & Experience

• Professional Exp : 7+ years of experience in Cloud, DevOps, and Infrastructure Engineering, with proven team management and technical leadership experience. Hands-on expertise in Databricks for unified data analytics and processing.
• Cloud & IaC : Proven expertise in architecting and operating large-scale, multi-tenant cloud environments on AWS, with exposure to Azure and GCP considered a plus. Extensive experience implementing Infrastructure as Code using Terraform and driving automated deployments through GitOps-based delivery models.
• Containers & Orchestration : Extensive experience architecting and operating production-grade Kubernetes (EKS) environments.
• Security & Networking : Deep understanding of software security, Identity Federation (OIDC/SAML, Okta), zero-trust architecture, PKI/certificates, and network encryption.
• Systems & Data Architecture : Strong knowledge of distributed systems, real-time data pipelines (Kafka, CDC), data warehousing, and client-server architectures.
• Soft Skills : Good interpersonal and communication skills, with a track record of driving cross-functional alignment.

Education & Qualification : Bachelor’s in Computer Science/Engineering, or a Master’s in Computer Applications/Science preferred.

• Emerging Tech Adoption: Stay ahead of fast-evolving tools in the DevOps, AI security, and cloud domains, identifying high-traction technologies early for strategic integration.
• Tooling Selection: Balance cutting-edge technical capability with long-term maintainability when selecting tools to add to the stack.

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