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 .Job DescriptionBrambles Digital is a key pillar of Brambles' transformation strategy.
You'll be working in a dynamic, start-up-like environment within Brambles Digital, we’re driven by rapid learning, exploring solutions at pace to tackle real-world customer challenges.
Join our passionate, diverse, and globally distributed team, united by a single mission: optimising the world’s supply networks through smarter, data-driven decision-making. Using IoT and leveraging data sources, we provide timely, actionable insights to empower our customers.
Leveraging your expertise in systems programming and DSL parser development, you’ll design and maintain cloud-native platforms and tooling. You’ll build bespoke software components, DSLs, parsers, libraries, and frameworks - primarily in Go, supporting environments across IoT, data science and software delivery.Key Responsibilities May Include:Design, orchestrate, and maintain scalable cloud infrastructure, working with engineers to automate processes and improve efficiency.Collaborate with Innovation Squads, Product Success, and other teams to maintain fast, reliable, and resilient CI/CD pipelines, empowering engineers to self-service their infrastructure needs.Support the development, testing, and maintenance of disaster recovery scenarios to ensure system availability and business continuity.Develop and deploy automated tools that enhance the developer experience, simplifying infrastructure management and deployment processes.Monitor performance, capacity, and availability of systems and infrastructure, working cross-functionally to troubleshoot and resolve platform-related issues.Create and maintain technical documentation, ensuring it is fit for use in design reviews, incident response, and support processes.Ensure best practices in cloud security, governance, and compliance are implemented across all cloud platform services.Stay up-to-date on emerging cloud technologies and trends, applying knowledge to continuously improve the scalability and performance of cloud platforms.Position PurposeCloud Engineers set up, operate, develop, evolve, and maintain cloud-centric platform(s) including IoT, Customer Solution Delivery, Data Science Environments and Software Delivery, as well as satellite tools and environments (file storage, databases, tensorflow, data streaming, eventing, machine learning and big data frameworks, notebook technologies, and container orchestration tooling).Major/Key AccountabilitiesDesign, develop, release and operate bespoke software tools, DSLs, parsers, libraries, frameworks, and services, through development in system languages such as Go, C, C++, Rust etc which are used by application software development teams and software operations teams. Currently the majority of this code is written in Go.Engage with all development teams, to improve and extend the existing tooling. The purpose is to enable them to scale, and focus on feature development, by providing a common technical platform / infrastructure, and improving developer experience.Develop, release, operate software tools, libraries, frameworks and services written in mainly in GoDesign new tools and improve/extend existing ones by engaging with key stakeholders and team leadsSupport and train tool users in application development and software operations teamsResponsible for learning, operating, evolving, contributing to, and maintaining Brambles Digital bespoke frameworks that support the BRIX platform (such as specific data pipes and bespoke terminal applications and REPLs)Responsible for rigorous testing of tools, libraries, frameworks, and services robustness and scalabilityWill contribute to data science / engineering teams discussions, providing insight as needed on other team member’s current approaches and methods as well as on tools and data repositoriesLiaise with Brambles Digital Cloud Engineering / BRIX digital operations, in order to understand current software operation and operation toolingBuild and maintain Continuous Integration and Continuous Deployment pipelines used in the release processOperate and monitor software services running in a Kubernetes environment, and natively on AWS relevant to bespoke software tools, DSLs, parsers, libraries, frameworks, and services.Responsible for contributing to capability building of the team, including researching and staying up-to-date on best practices e.g. Platform EngineeringCreate user documentation, troubleshooting guides, FAQs for software tools, and services.Experience:5 years relevant experience in Cloud Engineering or adjacent fieldsInstalled, operated, and managed several data science and machine learning frameworks, ordeveloped own data science methodologiesExperience with Continuous Integration and Continuous DeploymentExperience operating, optimising, querying, and administering databases (such as Postgres,TimescaleDB, etc.)Comfortable using and working in a polyglot computer language environment (Python, Go, Julia etc.)Experience with Amazon Web Services (S3, EKS, ECR, EMR, etc.)Experience with containers and orchestration (e.g. Docker, Kubernetes)Experience with Big Data processing technologies (Spark, Hadoop, Flink etc)Experience with interactive notebooks (e.g. JupyterHub, Databricks)Experience with Git Ops style automationExperience with *ix (e.g, Linux, BSD, etc.) tooling and scriptingParticipated in projects that are based on data science methodologies, and/or physical experiments, or statistical analysis – especially in a data engineer and dev ops capacity.Skills & Knowledge :Knowledge of major data science and dev ops frameworks and methodsVery strong analytical skills and systems thinkingStrong programming skills in addition to operational skills a plus (ideally in one or more of the following languages: Python, Go, Julia, or C/C++)Attention to big picture and detailsEssential QualificationsBS degree in Data Science, Computer Science, Engineering, Math, Statistics, Physics, or similar formal training or equivalentRemote TypeHybrid RemoteSkills to succeed in the roleActive Learning, Active Learning, Adaptability, Agile Methodology, Amazon Web Services (AWS), Automation Cloud, Cloud Infrastructure, Continuous Integration and Continuous Delivery Methodologies, Cost Optimization, Cross-Functional Work, Curiosity, Data Analysis, Digital Literacy, Disaster recovery and high availability, Docker (Software), Emotional Intelligence, Empathy, GitHub, Infrastructure As Code (IaC), Initiative, Kubernetes, Lambda, Linux, NoSQL, Problem Solving {+ 8 more}We are an Equal Opportunity Employer, and we are committed to developing a diverse workforce in which everyone is treated fairly, with respect, and has the opportunity to contribute to business success while realizing his or her potential. This means harnessing the unique skills and experience that each individual brings and we do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state, or local protected class.
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