Cloud Architect

Job Summary

As a Cloud Architect, you will provide technical leadership for our cloud infrastructure, platform engineering and security architecture. You will lead a team of Cloud and Security engineers, define the cloud roadmap, and ensure our platforms are secure, scalable, reliable and cost-effective. This role partners closely with engineering, security and data teams to drive cloud-native adoption and operational excellence.

Responsibilities

• 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 teams 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.

Key Performance Measures

• 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 and 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.

Key Challenges / Core Mindset

• 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.

Remote Type: Hybrid Remote

Skills to Succeed in the Role

• Adaptability
• Agile Methodology
• Amazon Web Services (AWS)
• Automation Cloud
• Cloud Infrastructure
• Continuous Integration and Continuous Delivery Methodologies
• Docker
• GitHub
• Infrastructure As Code (IaC)
• Kubernetes
• Lambda
• Linux
• NoSQL
• Prometheus
• Python
• Scala
• Spark
• SQL
• Systems Programming
• Taking Ownership
• Teamwork

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.