Hybrid Senior Cloud Engineer, Computer Vision Infrastructure

Posted 3 hours ago

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About the role

  • Senior Cloud Engineer developing and managing cloud infrastructure for CHEP’s global operations. Collaborating with teams to optimize CI/CD pipelines and enhance developer experience.

Responsibilities

  • 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.

Requirements

  • BS degree in Data Science, Computer Science, Engineering, Math, Statistics, Physics, or similar formal training or equivalent
  • Proven experience with looking after data science environments
  • Proven experience with looking after data storage systems with 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 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, optimizing, querying, and administering databases (such as Iceberg, Postgres, Patroni, DuckDB, 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 (Kubeflow, 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.

Benefits

  • Hybrid Work Model

Job title

Senior Cloud Engineer, Computer Vision Infrastructure

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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