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 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).

Major/Key Accountabilities

• Design 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 Go
• Design new tools and improve/extend existing ones 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 (such as specific data pipes and bespoke terminal applications and REPLs)
• Responsible for rigorous testing of tools libraries frameworks and services robustness and scalability
• Will contribute to data science / engineering teams discussions providing insight as needed on other team members 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 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 Engineering
• Create user documentation troubleshooting guides FAQs for software tools and services.

Experience:

• 5 years 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 & 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

Essential Qualifications

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

Remote Type

Skills to succeed in the role

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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