Cloud Platform Engineer

CHEP helps move more goods to more people, in more places than any other organization on earth via our 300 million pallets, crates and containers. We employ 11,000 people and operate in more than 55 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.

Job Description

Position Purpose

Cloud 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).

Location: UK or Madrid.

Measures:

• Successful roll out, development and continuous evolution and operation of cloud-based data science and machine learning platforms, IoT, Edge and Software Delivery frameworks, both for research & development and for continuous operation
• Effective support of data science projects, digitisation projects and software delivery projects
• Reliability of systems
• Adoption of systems

Major/Key Accountabilities

• Design, develop, release and operate databases including high availability, replication, backup and recovery, resilience, stability, tuning, performance and scalability which are used by application software development teams and software operations teams. Also engage with these teams, to improve and extend the existing database tooling and usage. 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 these underlying cloud databases including but not limited to TimescaleDB, Postgres, DuckDB, Redis, etcd, SpiceDB, Redshift, Graph Databases, Columnar databases and more. A special focus on TimeScaleDB self-managed instances at scale for IOT data of different types for different applications.
• Design new tools and improve/extend existing data management tooling by engaging with key stakeholders and team leads
• Support and train tool users in application development and software operations teams
• Responsible for learning, operating, evolving, contributing to, and maintaining Brambles Digital bespoke frameworks that support the BRIX platform
• Responsible for rigorous testing of framework and datastore, database robustness and scalability
• Will 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 repositories
• Liaise with Brambles Digital Cloud Engineering / BRIX digital operations, in order to understand current software operation and operation tooling
• Build and maintain Continuous Integration and Continuous Deployment pipelines used in the release process
• Operate and monitor software services running in a Kubernetes environment, and natively on AWS.
• Responsible for contributing to capability building of the team, including researching and staying up-to-date on best practices e.g. Platform Engineering, GitOps, IaC (infrastructure as code), DataStores, Databases, Data Storage technologies
• Create user documentation, troubleshooting guides, FAQs for software tools, and services.

Qualifications

Essential

BS degree in Data Science, Computer Science, Engineering, Math, Statistics, Physics, or similar formal training or equivalent

Desirable Qualifications

• Proven experience with looking after data recovery and database high availability and database tuning
• Proven experience with FinOps and being able to optimise spend for CE impact
• Experience with working with IoT and Edge interaction with the Cloud

Experience

• 5yr relevant experience in Cloud Engineering or adjacent fields
• Installed, operated, and managed several data science and machine learning frameworks, or developed own data science methodologies
• Experience with Continuous Integration and Continuous Deployment
• Experience 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 automation
• Experience with *ix (e.g, Linux, BSD, etc.) tooling and scripting
• Participated 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 and Knowledge

• Knowledge of major data science and dev ops frameworks and methods
• Very strong analytical skills and systems thinking
• Strong 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 details

Preferred Education

Masters - Computer and Information Science

Preferred Level of Work Experience

5 - 7 years

Remote Type

Hybrid Remote

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.

Individuals fraudulently misrepresenting themselves as Brambles or CHEP representatives have scheduled interviews and offered fraudulent employment opportunities with the intent to commit identity theft or solicit money. Brambles and CHEP never conduct interviews via online chat or request money as a term of employment. If you have a question as to the legitimacy of an interview or job offer, please contact us at recruitment@brambles.com.