AWS Azure Architect With DevOpsLocation: Bartlesville, OKDuration: Full Time/ 6+ Months ContractWorking with product engineering teams, design, develop, operate and maintain secure, auto-scalable, highly available, vendor agnostic cloud environments with the lowest TCO (total cost of ownership). Sizing and capacity planning. Release management. Automate deployment of great products and services in cloud environments. Patch management - emergency and scheduled maintenance. Operations for public (AWS/Azure/SoftLayer/NetMagic) and private cloud environments. Capacity management. Logging, monitoring and event management. Change management. Incident management and support. Proactively maintain the overall health of all environments. Understand the overall system design and ensure integrity is maintained. Be available on-call as part of a team maintaining 24x7 availability of SaaS Compliance. Execute procedures and activities in accordance with audit guidelines. Implement and follow security policies. Maintain up-to-date knowledge of industry trends, emerging technologies, and software development best practices.5+ years of hands-on experience over a wide range of infrastructure technologies and operations supporting large scale mission-critical IaaS and SaaS environments serving millions of users. Expert level knowledge of Linux or Unix system administration. Strong knowledge of compute, storage and network architecture. Strong knowledge and expertise in virtualization and managing cloud based virtualized infrastructure.
Experience in rapid troubleshooting of HW, OS and App issues. Skilled in at least one of the tools/technology in each category Public clouds: AWS, Azure or SoftLayer Deployment & Configuration mgmt: Puppet, Chef, Salt or Ansible Scripting language: Shell, PHP, Python, Go or Perl. Log management: Logstash, Syslog, ElasticSearch, etc. Monitoring: Ganglia, Graphite, Nagios or similar Windows system administration Container technology, such as, Docker- SQL and NoSQL databases, such as, MySQL, MongoDB or HBase Experience with big data systems, such as, Hadoop or Cassandra Experience with load balancers, caching layers and real-time event processing Familiarity with encryption technologies, key management, etc. Capacity planning and performance tuning