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.

Key job responsibilities
– Lead the design, build, and implementation of technical solutions to complex problems.
– 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.
– Drive automation and refactoring of existing solutions, including incorporating new generative AI and machine learning components.
– Ensure scalability, reliability and efficiency of automation processes.
– Report and analyze usage statistics of the tools and services that our team owns.
– Proactively identify and mitigate risks and deficiencies.
– Define your team’s technical strategy and operating models.
– 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.

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

BASIC QUALIFICATIONS

– 3+ years of systems design, software development, operations, automation, and process improvement experience
– 5+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby experience
– 3+ years of deploying and operating in a Linux/Unix environment experience
– Experience with CI/CD pipelines build processes

PREFERRED QUALIFICATIONS

– Experience with distributed systems at scale
– 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience