Job summary
The vast majority of data in the world is cold -- durably and securely retained for long periods of time, but rarely ever accessed. Conventional storage systems are a poor fit for this domain as they are typically optimized for speed rather than space and cost. Amazon Glacier has been designed from the very start to provide secure, durable and scalable data storage at a very low cost. This unusual set of constraints requires us to solve fascinating scaling and algorithmic problems that have never been tackled at our scale. At our scale, exceedingly rare race conditions are all but a certainty.
As an engineer on our team, you'll have the opportunity to guide the design and implementation of a distributed storage service that operates at cloud scale. Your design and development work would range from distributed system service development in Java, to low level systems coding that interfaces directly with hardware. You'll be working to bring brand new systems to production use, and to do so you'll need to solve interesting computer science problems.
We are looking for someone who is keen to invent in this space, and build what could easily become the largest data storage service on the planet. Some of the projects that you'll have an opportunity to work and drive:
Work/Life Balance
Our team works together to provide work/life balance for all team members. We recognize that the circumstances of our team members vary, and we balance work across the team so that we’re all able to maintain high standards on behalf of our customers, while at the same time allowing for rich and happy personal lives.
On-Call Responsibility
In AWS, if you build it, you own it. Glacier is a highly available 7x24 worldwide service requiring dedicated support from our engineering teams. We pride ourselves on a high level of ownership in the work we do. This means we hold a high bar for test automation, verification processes, design and code reviews to ensure that our systems meet the exacting standards our customers demand. We maintain a regular on-call rotation across our teams with engineers and managers all taking part to resolve the inevitable issues that arise.
We work hard to minimize getting paged in the middle of the night as we recognize that a well-rested employee is a productive employee. So we work tirelessly to ensure that our systems are fault tolerant. When we do get paged, we work together to resolve the root cause so that we don’t get paged for the same issue twice.
Mentorship & Career Growth
Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior engineers truly enjoy mentoring more junior engineers and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews.
Upon joining Glacier, every employee is paired with a peer buddy who will help you to quickly come up to speed in understanding the technology we’re building, the tools we use and the business problems we’re trying to solve. We have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, and job level.
Inclusive Team Culture
We have a diverse team and drive towards an inclusive culture and work environment. Our team is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Yes we do get to build a really cool service, but we also think a big reason for that is the inclusive and welcoming culture we try to cultivate every day.
We’re looking for a new teammate who is enthusiastic, empathetic, curious, motivated, reliable, and able to work effectively with a diverse team of peers; someone who will help us amplify the positive & inclusive team culture we’ve been building.
BASIC QUALIFICATIONS
PREFERRED QUALIFICATIONS
Amazon Web Services, Inc. (AWS) is a subsidiary of Amazon providing on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis. These cloud computing web services provide a variety of basic abstract technical infrastructure and distributed computing building blocks and tools. One of these services is Amazon Elastic Compute Cloud (EC2).
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Vancouver, BC, Canada
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Vancouver, BC, Canada
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Vancouver, BC, Canada
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