Experience: 4-8 yrs.

Work Location- Chicago, US

Job Description:

•  Owner of AWS production system environment consisting of Computer, network and storage resources.
•  Day-to-day IT/System operations for applications on AWS
•  Planning, implementing, maintaining, troubleshooting backup & disaster recovery policies on AWS.
•  Estimating AWS usage costs and identifying operational cost control mechanisms.
•  Coordinate with other departments – engineering, technical operations to ensure smooth business continuity.
•  Automation of Monitoring – hook scripts for custom monitoring ( Zabbix, Nagios) on *nix servers.
•  Troubleshoot and resolve hardware and software/application issues.
•  Shell Scripting for automation of IT/sysops tasks
•  Overall Linux system administration ( Amazon Linux, CentOS, RHEL, Ubuntu )

Skills Required:

• AWS DevOps Engineer, AWS DevOps, AWS, DevOps, AWS, Amazon Web Services
• Hands-on experience operating AWS based multiple production workloads.
• Hands-on experience on AWS services – EC2, VPC, ELB, RDS, S3, Cloudwatch, Cloud Trail, Route 53, SQS, SNSC, Opsworks, AWS CLI etc.
• Should be well versed with concepts, application, use-cases of cloud computing, virtualization
• Good understanding of AWS best practices and working knowledge of AWS Cloudformation, Terraforms and Code Deploy
• Linux/Unix, Package/Software management, Expertise in any one scripting languages (Bash, Shell, Python, or Perl) access control management, System monitoring tools e.g. Netstat, Top, VM Stat.

Preferable Skills

• Python programming intermediate level
• Web Application Management: Apache Tomcat, memchache
• MySQL/AWS AURORA database administration skills
• Experience in network monitoring tools like zabbix, nagios, AWS Cloudwatch etc.
• Security: iptables, SSH, SSL, public key authentication
• Possess good understanding of TCP/IP, DNS, HTTP
• Deep knowledge of Linux across multiple distributions, including performance management/tuning
• Exposure to modern open source technologies/tools: Docker/ Mesos/ Kubernetes/ Openstack, Apache Kafka, Grafana, ELK Stack
• Corporate Analytics tools: splunk