The Amazon Web Services team is innovating new ways of building massively scalable distributed systems and delivering the next generation of cloud computing with AWS offerings like Polly
, and Rekognition
. In 2013, AWS launched 280 services, but in 2016 alone we released nearly 1000. We hold high standards for our computer systems and the services we deliver to our customers: our systems are highly secure, highly reliable, highly available, all while functioning at massive scale; our employees are wicked smart, passionate about the cloud, driven to serve customers, and fun to work with.
On a “typical” day, support engineers might Dive Deep to root cause a customer issue, investigate why a metric is trending the wrong way, consult with the top engineers at Amazon, or discuss radical new approaches to automate operational issues. You'll become a master at AWS Services platform diagnosis, response, measurement, and automation. You will design and build the operational scalability that sustains the platform's remarkable growth. You will measure your success and it will be visible.
This position is perfect for you if you’re interested in creating tools and automation so that engineers can be as hands-off as possible. We want our service to be as autonomous as possible, and that can only be done by having bright engineers who understand how to Think Big, simplify solutions to complex unprecedented problems, all in pursuit of the best customer experience possible. Our environment is built for engineers who flourish in creating automation to reduce the operational workload rather than simply performing operational work all day.
Successful candidates will join an elite engineering team, provide troubleshooting and operations support, and innovate to replace operational tasks with scripts and code.
If you are a talented, detail-oriented and enthusiastic software professional who is passionate about new technologies including artificial intelligence, big data, and machine learning, then this is the right team for you.