Sr. Software Development Engineer
Amazon
Hyderabad
4h ago
source : Shine
  • HEX is a program that automates the creation and management of basic hardware and software infrastructure required for running Amazon internal services by reducing the undifferentiated effort spent by developers.
  • Our engineers help shape the Amazon compute strategy by building a highly available platform to host thousands of services that operate at the core of Amazon s business, at Internet scale (tens of thousands of transactions per second).
  • We enable Amazon s internal developers minimize time-to-market by allowing them to simply launch their application code as a service, operating in a managed, tier-
  • 1, resource-efficient hosted environment.

  • Even with 2600+ tenants serving over 450 billion requests per week, we are still at an early stage and working on ambitious new initiatives where every member of the team can have significant technical and business impact.
  • In this role you will be responsible for tackling core software engineering problems viz.
  • distributed computing, resource usage efficiency, tenant isolation, fault tolerance and will use AWS cloud technologies (EC2, ECS, Lambda, etc.
  • to architect and build highly available and scalable systems.

  • 8+ years of professional experience in software development
  • 3+ years of experience technically leading and mentoring software development teams
  • Proficiency in computer science fundamentals such as object-oriented design, data structures and algorithm design
  • Proficiency in at least one of the modern programming languages such as Java or Python
  • Advanced software engineering skills, including the ability to write expert-level, maintainable and robust code
  • Ability to lead a team of software engineers during the entire lifecycle of a service
  • Highly autonomous, detail oriented and possesses strong verbal and written communication skills Master's degree in Computer Science or a related field
  • Experience in building Platform as a Service solutions
  • Experience with container technologies
  • Knowledge and experience with machine learning technologies
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