Sr SDE, EC2 HealthAnalytics - Amazon

Description EC2 Health Analytics Team is responsible for Classification, Measurement and Analysis of failure events across the EC2 fleet to improve AWS fleet reliability and improve customer experience. As part of the EC2 HA team, you will work on highly scalable tools and software services to measure fleet health, identify failure patterns and generate automated health reports. You will work with partner teams to improve existing failure classifications and create new failure classifications. You will use data science techniques to identity spikes in failures across the fleet. You will work to ensure that the failures patterns are root caused and fixed to ensure a healthy AWS fleet. You will drive innovation and development of new tools and services to cover new operational and health metrics. Key job responsibilities Designing and developing cutting edge highly reliable and scalable distributed systems. Delivering quality features on-time and on-budget and execution against project plans and delivery commitments. Working with team members to manage the day-to-day development activities, participate in designs, design review, code review, and implementation. Engaging and working with customers and dependencies to ensure a quality delivery. Mentoring other engineers Maintaining current technical knowledge to support rapidly changing technology, always on a look out for new technologies and work with the team in bringing in new technologies. A day in the life You will use data analytics and various large data sets to efficiently detect and root cause EC2 server and instance failures You will exercise the highest bar for security in both code and operations. Our customers rely on timely availability of the quality and reliability data. You will generate and provide reliability reports to our customers in a timely manner and incorporate customer feedback in improving our reports and dashboards About the team We are looking for top engineers to join a talented, innovative team to help us monitor and drive improvements of one of the largest server fleets in the world. The team is focused on intelligent monitoring, forecasting and machine learning models to improve EC2 reliability, availability and flexibility We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA Basic Qualifications - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team - Bachelor's degree - Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby. - Proficiency in Computer Science fundamentals such as object-oriented design, data structures, algorithm design, problem solving, and complexity analysis Preferred Qualifications - Experience with PowerShell (preferred), Python, Ruby, or Java - Experience working in an Agile environment using the Scrum methodology - Master in Computer Science or related field preferred - Experience working with Linux operating systems - Experience with architecting high scale systems - Experience with developing cloud technologies - Candidate must be able to work with a minimum of technical supervision and supplemental engineering support, while responding efficiently to multiple program priorities. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $134,500/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.