Cloud Engineer

OSG is looking for DevOps professionals to join our Cloud Operations team. You'll be a Cloud Engineer part of a growing cross functional technology team who leads the design, implementation and operation of client workloads on the OSG Cloud platform. 

Responsibilities 

• Function as a key member of the team responsible for the day-to-day, 24x7x365 on-call  engineering, system administration, and operation of Paybox Cloud systems. 
• Provide review and input into the design of new technical features and architectural changes to  the systems. 
• Define and implement best practices around various operation processes. 
• Perform periodic software updates to systems, and address security vulnerabilities.
• Scale infrastructure to meet growing capacity and launch new applications in both private and  public clouds. 
• Lead troubleshooting efforts to find root causes and corrective actions throughout the life of a  project. 
• Develop tools to automate builds and continuous integration using Octopus Deploy, Jenkins,  Terraform, Docker, Kubernetes, etc. 
• Develop monitoring solutions and appropriate metrics to measure performance and efficiency of  applications using the ELK stack and/or Datadog. 
• Own the day-to-day health, uptime, monitoring, and reliability of services. 
• Participation in an on-call rotation for after-hours coverage as needed. 
• Other duties as assigned. 
• Position may require some travel.

Desired Background 

• Certification: AWS Certified SysOps Administrator Associate. 
• Bachelor's degree in Computer Science, Information Technology, Management Information  Systems, related field or equivalent experience.
• 3+ years’ experience in a 24×7 high-availability production environment. 
• 3+ years’ experience with System Engineering in private and/or public cloud data center  environments. 
• 5+ years’ experience working with Windows and Linux based server systems such as Windows  Server 2008 – 2016, CentOS, CoreOS, and Ubuntu. 
• In depth understanding of TCP/IP LAN/WAN networking technologies and troubleshooting  techniques. 
• Experience with infrastructure health monitoring and capacity planning using tools such as  Solarwinds Orion, Prometheus, Grafana, Elasticsearch, Datadog, etc.
• Experience with hardware or software-based firewalls, load balancers and proxy servers.
• Experience with intrusion detection systems and network and server security hardening.
• Experience with virtualization technologies such as VMWare and KVM. 
• Experience with container management platforms (Kubernetes) and container runtimes (Docker).
• Good knowledge of languages such as Python, JavaScript and PowerShell. 
• Excellent organizational skills, and oral and written communication skills. 
• Ability to work with minimal supervision, making decisions based upon priorities, schedules and  an understanding of business initiatives. 
• Critical attention to detail, thoroughness and documentation. 

Preferred Qualifications 

• Certification: AWS Certified DevOps Engineer Professional.
• Previous DevOps experience to act as liaison between development and quality assurance teams  as part of the SDLC process. 
• Experience with public cloud service providers such as Amazon AWS, Microsoft Azure, Google  GCP, etc.
• Experience with deploying server workloads in a multi-tier architecture.
• Experience in REST and SOAP distributed application troubleshooting. 
• Experience with cloud data protection and backup operations to support DR/BCP solutions for  cloud workloads. 
• Experience with relational and NoSQL database technologies.
• Extensive experience with configuration management and infrastructure as code using YAML and  tools such as SaltStack, Ansible, Terraform, CloudFormation.
• Experience with CI/CD and automated software delivery pipelines using tools such as Octopus  Deploy, Jenkins and Terraform.
• Experience monitoring solutions and appropriate metrics to measure performance and efficiency  of applications using tools such as ELK stack and/or Datadog. 
• • Experience with source control systems such as VSTS, Azure DevOps and Git.
• • Experience in monitoring, metrics collection, and reporting using open source tools.
• • Good knowledge in automating the management of a data center environment.