Experience supporting DevOps tools and process automation along with cloud infrastructure.
Experience with deployment and support of Azure and/or AWS services.
Minimum 4+ years of experience on DevOps/SRE or equivalent.
Strong experience in Python or equivalent language.
Strong experience in bash scripting.
Strong experience with Kubernetes and Docker.
Experience in the Linux environment and a good understanding of its fundamentals and internals: filesystems and modern memory management, threads and processes, the user/kernel-space divide, etc.
Understanding of Microservice based Architecture.
Ability to implement infrastructure as code.
An understanding of application security and information security controls.
A good understanding of large-scale distributed systems in practice, including multi-tier architectures, application security, monitoring and storage systems.
Working knowledge of Terraform.
Working knowledge Azure DevOps, Jenkins, GitLabs (or other similar toolset).
Data Science platform/tools experience, plus monitoring and logging platforms, will be an advantage.
Broad experience with open source technologies, especially databases including SQL and NoSQL.
Demonstrated ability to quickly become familiar with relevant DevOps tools and related technologies.