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System Development Engineer, Cloud Network Specialist
2 months ago
We are seeking a highly skilled Cloud Network Engineer to join our team at Amazon Corporate Services Pty Ltd - C17. As a key member of our AWS Direct Connect team, you will play a critical role in designing, building, and scaling our cloud network infrastructure.
Key Responsibilities- Automate Network Operations: Design and implement automated solutions to streamline network operations, deployment, and maintenance tasks.
- System Management and Automation: Develop and maintain software components to automate network management, deployment, and scaling.
- Infrastructure Optimization: Analyze and optimize commodity servers, operating systems, and network functions to ensure high availability and scalability.
- Technical Innovation and Efficiency: Drive innovation and efficiency in infrastructure operations through automation, self-repair, and simplification.
- Problem Analysis and Resolution: Troubleshoot complex problems, identify root causes, and develop long-term solutions to improve operational efficiency.
- Documentation and Best Practices: Maintain accurate documentation, adopt best practices in testing, security, and operational support at scale, and ensure efficient use of resources.
- Performance Metrics and Improvement: Develop and track metrics to demonstrate performance improvements in operational efficiency.
- Experience in Automating Infrastructure: Proven experience in automating, deploying, and supporting large-scale infrastructure.
- Programming Skills: Proficiency in at least one modern programming language, such as Python, Ruby, Golang, Java, C++, C#, or Rust.
- Linux/Unix Experience: Experience working with Linux/Unix operating systems.
- CI/CD Pipelines: Experience with CI/CD pipelines and build processes.
- Distributed Systems: Experience with distributed systems at scale.
- Cloud Computing Experience: Experience with cloud computing platforms and services.
- Network Engineering: Experience in network engineering, including design, implementation, and optimization.
