What you'll do
- Lead development of next-generation AWS platforms for Generative AI and ML server infrastructure.
- Collaborate across multiple teams including SDEs, hardware engineers, TPMs, and managers in a fast-paced, global environment.
- Own system design, diagnosis, and reliability improvements using a full stack approach from baremetal hardware to userland software.
- Drive technical leadership by solving complex architectural problems and proactively identifying and fixing system deficiencies.
- Deliver direct impact on AWS product performance and cost efficiency through innovative hardware and software solutions.
What you should know
- Ideal candidates should be innovative self-starters with broad technical knowledge across hardware and software stacks.
- The role requires strong systems engineering fundamentals including networking, storage, and operating systems expertise.
- Applicants will work in a highly collaborative environment involving cross-functional teams and global development programs.
- Candidates should be comfortable with complex problem solving and proactive ownership of system reliability and scalability.
- Experience with Agile methodologies and modern programming languages is preferred to thrive in this role.
About the company
- Amazon Web Services (AWS) is the world’s largest and most comprehensive cloud platform, trusted by startups and Global 500 companies.
- AWS values continuous innovation and pioneers cloud computing with a broad suite of products and services.
- The company fosters an inclusive culture with employee-led affinity groups and diversity initiatives like CORE and AmazeCon.
- AWS emphasizes work-life harmony and flexibility to support employee success both at work and at home.
- Amazon is a global technology leader with a strong focus on operational excellence and customer-centric innovation.
Key required skills
C++PythonPowerShellSystems engineeringNetworkingStorage systemsOperating systems