Senior Platform Engineer managing AWS, Kubernetes, Terraform, and CI/CD infrastructure at Ledgebrook. Building secure self - service platforms that improve software delivery reliability.
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
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