DESCRIPTION

Amazon Lookout for Metrics uses machine learning (ML) to detect anomalies, or unexpected changes in customer metrics, helping them proactively monitor the health of their business, diagnose issues and find opportunities quickly €“ with no ML experience required

Organizations of virtually every size use data to monitor trends and changes in their metrics to find unexpected anomalies, such as a dip in product sales or a sudden increase in qualified sales leads. Finding these anomalies is challenging. Traditional rule based methods look for data that falls outside of arbitrary ranges, which results in too many false alarms if the range is too narrow or missed anomalies if the range is too broad. These ranges are also static, and don€™t change based on time of the day, day of the week, or seasons, and need to be manually updated frequently. When anomalies do get detected, developers, analysts, and business owners can spend weeks trying to identify the root cause of the change, before they can take any meaningful action.

Amazon Lookout for Metrics automatically connects to popular AWS services such as S3, CloudWatch, Redshift and RDS, and SaaS applications such as Salesforce, Marketo and Amplitude, to continuously monitor metrics that you care about. It detects anomalies with high accuracy using ML, leading to lower false alarms and fewer cases of missed anomalies. Amazon Lookout for Metrics groups related anomalies to help you identify the root cause, and ranks them in the order of severity, so that you can focus on what matters the most. It sends you alerts through channels such as SNS, Datadog, PagerDuty, Webhooks and Slack, or triggers custom actions using Lambda, reducing your time to resolution. It also uses your feedback on detected anomalies to tune the results and improve accuracy continuously.

You will deliver some of our most strategic technical projects, deliver large scalable systems, design new software systems at the cutting edge of distributed database technology and have a significant bottom-line impact on our business and competitive position. In addition to delivering critical software, you will draw from a deep and broad technical expertise to mentor engineers and provide leadership on complex technical issues.

A successful candidate will bring deep technical and software expertise, desire to have an industry wide impact and ability to work within a fast moving, startup environment in a large company to rapidly deliver services that have a broad business impact.

Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.

Work/Life Balance
Our team puts a high value on work-life balance. It isn€™t about how many hours you spend at home or at work; it€™s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we€™re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.