Job Description
Day to day operations:
Build and maintain network infrastructure as well as software infrastructure
Kubernetes clusters build and maintenance.
Troubleshoot related Kubernetes issues as well as Docker containers that run on them
Technical documentation of usability of the Kubernetes, Docker, and related technologies
Work with Development and QE teams on gathering steps on setting up and deploying software in an automated and repeatable way for efficient delivery
Translate business needs into engineering user stories providing the context necessary for full understanding and facilitation of Engineering and automation related inquires
Research new technologies in the DevOps arena and come up with proposals on delivery improvements
Required skills/experience/education:
5-8+ years of relevant experience with technologies such as Kubernetes, Docker
Java, Python, Bash Shell Scripting, Groovy
Intermediate to Advanced knowledge of relational databases such as Oracle, MySQL
Experience with Unix/Linux and Windows development environments
An understanding of Network engineering infrastructure (e.g. protocols, routing, switching, firewalls)
Experience with virtualization software and cloud infrastructures like AWS, Azure, or Google cloud platform
Scripting and programming experience with Infrastructure using Python, Perl, Ruby, PowerShell, etc.
Experience supporting and implementing pipelines in Cloud infrastructure
Knowledge of best practices and IT operations
Experience with Agile practices
Personal Attributes
Excellent communication skills
Strong analytical, problem-solving, and communication skills
Negotiation, facilitation, and consensus-building skills.
Must be proactive, demonstrate initiative and be a logical thinker.
Day to day operations:
Build and maintain network infrastructure as well as software infrastructure
Kubernetes clusters build and maintenance.
Troubleshoot related Kubernetes issues as well as Docker containers that run on them
Technical documentation of usability of the Kubernetes, Docker, and related technologies
Work with Development and QE teams on gathering steps on setting up and deploying software in an automated and repeatable way for efficient delivery
Translate business needs into engineering user stories providing the context necessary for full understanding and facilitation of Engineering and automation related inquires
Research new technologies in the DevOps arena and come up with proposals on delivery improvements
Required skills/experience/education:
5-8+ years of relevant experience with technologies such as Kubernetes, Docker
Java, Python, Bash Shell Scripting, Groovy
Intermediate to Advanced knowledge of relational databases such as Oracle, MySQL
Experience with Unix/Linux and Windows development environments
An understanding of Network engineering infrastructure (e.g. protocols, routing, switching, firewalls)
Experience with virtualization software and cloud infrastructures like AWS, Azure, or Google cloud platform
Scripting and programming experience with Infrastructure using Python, Perl, Ruby, PowerShell, etc.
Experience supporting and implementing pipelines in Cloud infrastructure
Knowledge of best practices and IT operations
Experience with Agile practices
Personal Attributes
Excellent communication skills
Strong analytical, problem-solving, and communication skills
Negotiation, facilitation, and consensus-building skills.
Must be proactive, demonstrate initiative and be a logical thinker.