Cloud Infrastructure Engineer

3 days ago

Manchester, United Kingdom Brambles Full time
Job Description

Job Title: Cloud Infrastructure Engineer

Job Summary:

Brambles is seeking a highly skilled Cloud Infrastructure Engineer to join our team. As a Cloud Infrastructure Engineer, you will be responsible for designing, developing, and maintaining cloud-centric platforms, including IoT, customer solution delivery, data science environments, and software delivery.

Key Responsibilities:

  • Design and develop cloud databases, including high availability, replication, backup, and recovery, to support application software development teams and software operations teams.
  • Develop, release, and operate underlying cloud databases, including TimescaleDB, Postgres, DuckDB, Redis, etcd, SpiceDB, Redshift, Graph Databases, and Columnar databases.
  • 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.
  • 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 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, such as Platform Engineering, GitOps, IaC, DataStores, Databases, and Data Storage technologies.
  • Create user documentation, troubleshooting guides, and FAQs for software tools and services.

Requirements:

  • BS degree in Data Science, Computer Science, Engineering, Math, Statistics, Physics, or similar formal training or equivalent.
  • Proven experience with looking after data recovery and database high availability and database tuning.
  • Proven experience with FinOps and being able to optimize spend for CE impact.
  • Experience with working with IoT and Edge interaction with the Cloud.
  • 5 years of relevant experience in Cloud Engineering or adjacent fields.
  • Experience with Continuous Integration and Continuous Deployment.
  • Experience operating, optimizing, 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 GitOps 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++).

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