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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.
- 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
- Knowledge of systems engineering fundamentals (networking, storage, operating systems)
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
- Experience with Linux/Unix
- 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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