DESCRIPTION
Your new team builds and maintains tooling and automation that AWS support engineers rely on to diagnose issues reported by our customers accurately, resolve those issues reliably and effectively, and to ensure that shortest time to resolution possible.
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.
We are seeking curious self-starters to join our dynamic and growing team. You will get broad exposure to the AWS organization and learn more about the products and services that we build and support on a global basis. This is an opportunity to get involved in identifying and defining the most impactful solutions to ambiguous problems across a large product inventory at scale.
This is a hands-on technical engineering role with scope to increase your specialization in the areas of data and systems analysis, statistics, AI, architecture and design, DevOps, and team leadership roles.
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
Key job responsibilities Design, build, and implement technical solutions to complex problems.Get exposure to a range of AWS software products, systems, infrastructure, hardware, networking, and processes.Drive automation and refactoring of existing solutions, including incorporating new generative AI and machine learning components.Ensure scalability, reliability and efficiency of automation processes.Develop new testing frameworks and tools to improve test coverage and efficiency.Develop mechanism to collect and analyze usage statistics of the tools and services that our team owns.Create dashboards and reporting tools to provide actionable insights to stakeholders.Proactively identify and mitigate risks and deficiencies. You will work to reduce complexity and enable greater agility for our team and other teams in our organization.Lead reviews of architecture, design, operations, process, or post-incident analysis for your team. You will actively participate in reviews of systems owned by partner teams.Influence your team's technical and business strategy by making contributions to team priorities and approach.Hire and develop others by leveraging your expertise, coaching, and mentoring. A day in the life
We work on a broad spectrum of projects of different sizes using different architectures, technology stacks, and programming languages (though the bulk of it is Python, JavaScript / TypeScript, and React). Tasks range from backend development, front-end development, and infrastructure as code. We prepare and review designs, identify and mitigate risks, experiment and share ideas, all with the goal to keep innovating on behalf of our customers.
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.
About the team
SysDev Engineering, Tooling & Automation (SETA) is a part of the AWS Frontline Support Organisation, focused on creating internal tooling as well as internal and external automation for AWS Support Customers and internal builders.
BASIC QUALIFICATIONS Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, RubyExperience with Linux/Unix PREFERRED QUALIFICATIONS Experience with CI/CD pipelines build processesExperience in automating, deploying, and supporting infrastructureBachelors degree in Computer Science or equivalent.
Amazon is an equal opportunities employer, and we value your passion to discover, invent, simplify and build. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief. Amazon is strongly committed to diversity within its community and especially welcomes applications from South African citizens who are members of designated groups who may contribute to Employment Equity within the workplace and the further diversification of ideas. In this regard, the relevant laws and principles associated with Employment Equity will be considered when appointing potential candidates.
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