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Amazon System Development Engineer Global Maintenance Automation Platform MAP India, Telangana, Hyderabad 699100352
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- You solve problems at their root, stepping back to understand the broader context.
- You are a significant and autonomous contributor. Your work is consistently of high quality. You solve complex problems, applying appropriate technologies and best practices.
- You maintain SLA’s through the implementation of proactive issue detection and reporting.- You consider the legacy of the systems you support, how they will scale, and limit the use of short-term workarounds.
- You make appropriate trade-offs, re-use where possible, and are judicious about introducing dependencies. You are efficient with resource usage (e.g., system hardware, database, memory/CPU, etc.).
- You identify patterns that affect the performance, reliability, or availability of a product or service and drive them out of the system through automation or other technical innovation
- Able to prioritize in complex, fast-paced environment.Key job responsibilities
As a System Development Engineer within the MAP team, the primary responsibilities include designing, developing, testing, deploying and supporting new and existing products and services
- Experience in automating, deploying, and supporting infrastructure
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- Experience with Linux/Unix
- Experience tools for automation (building, testing, releasing or monitoring)
- Experience working in an Agile environment
- Associate's degree
PREFERRED QUALIFICATIONS
- Experience with CI/CD pipelines build processes
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
- Experience with PowerShell (preferred), Python, Ruby, or Java
- Experience on highly concurrent, high throughput systems and knowledge of complex distributed systems
- Experience in networking, storage systems, operating systems and hands-on systems engineering
- Experience with distributed operational health and performance monitoring systems
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