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We have ambitious goals to augment human ability and increase levels of automation using the latest generative AI and machine learning techniques, web frameworks, and the AWS product suite itself.Key job responsibilities
- Lead the design, build, and implementation of technical solutions to complex problems.- Drive automation and refactoring of existing solutions, including incorporating new generative AI and machine learning components.
- Ensure scalability, reliability and efficiency of automation processes.- Proactively identify and mitigate risks and deficiencies.- Hire and develop others by leveraging your expertise, coaching, and mentoring.A day in the life
We engage with stakeholders, build prototypes, keep an eye on DevOps and deployments, and do deep dives on root cause analysis when things go wrong.You will spend the bulk of your time analyzing systems and writing code. This includes reviewing and approving code contributed by engineers outside of our team. You will be required to participate in “on-call” rotations to resolve ongoing incidents and these will occasionally occur outside of office hours.Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS
Work/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- 3+ years of non-internship professional software development experience
- 3+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
- Knowledge of systems engineering fundamentals (networking, storage, operating systems)
- Bachelor's degree
- Knowledge of a front-end language (Javascript, CSS, HTML, etc.)
- Experience with CI/CD pipelines build processes
- Experience in automating, deploying, and supporting large-scale infrastructure
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