AWS Cloud Architect

Description

The Cloud Systems Operations Engineer Role Cloud SOEs are engineers with strong AWS experience and the right mix of knowledge and skills in software engineering, (i.e. programming, data structures and algorithms) systems engineering, (i.e. applying scientific and principles of experimentation and observation to entire systems to improve reliability, performance and operability). We constantly evaluate products and services before and after production releases to prevent, identify and fix problems that impact service availability in deploying, configuring, monitoring, recovering, and scaling. We participate in oncall rotations to monitor and support our products and services, taking recovery actions prior to and after disruptions. We dedicate at least 50% of our time 'engineering away' problems both, directly and through pairing and coaching our team. We work sidebyside with Cloud SOEs in our team applying software engineering principles to resolve problems impacting service uptime or our operational efficiency.Our Cloud SOE Culture To accomplish our mission and continue to build our internal DevOps culture, we embrace and are strong advocates of the CALMS framework. We seek to eliminate manual and repetitive operations tasks at every opportunity by exploiting open source tools, contributing to open source projects and building new tools when required. We value technical aptitude, innovative thinking and a great learning ability above proficiency with a specific toolset.Core Cloud SOE SkillsRequired Core Skills for all Cloud SOEs Strong experience designing, building, operating and troubleshooting with Amazon Web Services components Programming experience in Python, Node.js and other languages as relegates to AWS components and monitoring. Experience with other languages is also valuable such as Shell scripting, PowerShell, PERL or PHP. Systems configuration and administration Windows and/or Linux. Analyzing and discovering how all components of a distributed system work together using a broad range of skills and tools.Possess or will learn quickly Applying an evidence based approach to solving system problems under pressure and in real time to provide the fastest path to service recovery. System and software configuration management using tools such as puppet, chef or ansible. Other Cloud technologies and platforms such as AzureCloud SOE AWS Writing code for AWS to drive system engineering activity such as system testing, load generation, instrumentation, log analysis, performance monitoring, error simulation and deep discovery of system properties. Conducting investigation across AWS system components and related systems to discover and rectify performance bottlenecks and sources of unreliability. Applying scientific principles of experimentation and measurement to system components to identify improvements to the configuration and architecture which improve reliability, performance and operability. Network flow analysis and troubleshooting. Selection, design and tuning components for reliability and performance. Configuring, analyzing and tuning (relational and NoSQL) database systems to improve reliability and performance. Configuring and tuning server instances, application containers, message queueing systems and other middleware to improve reliability and performance.