DevOps Engineer
Posted Updated
Description
We are seeking a highly motivated individuals skilled in DevOps to join us for some exciting projects. You'll work with a multidisciplinary team of designers, developers and business experts to create solutions that exist in both digital and physical realms.
What to expect: . Manage the development of the internal engineering productivity tools and environments. . Providing DevOps architecture implementation and operational support . Architecture and planning for cloud deployments (Private and Public cloud) . Be an innovative and hands-on DevOps engineer capable of looking at both the technology and strategy around the platform. . Future-proofing the technical environments and ensuring extremely high levels of automation, availability, scalability and resilience. . Manage the development of the internal engineering productivity tools and environments. . Manage processes, automation, best practices, documentation. . Development and operation of continuous integration and deployment pipelines. . Monitoring automation to effectively detect/predict/prevent issues in the environment and code base. . Ability to conduct research into software issues and products as required . Working with the latest tools and techniques . Hands-on coding and mentoring, usually in a pair programming environment . Working in highly collaborative teams and building quality environments. . Ability to effectively prioritize and execute tasks in a high-pressure, fast paced, global environment . Knowledge in lots of different open-source technologies and configurations.
How to Succeed: . Degree or Diploma in Computer Science/Engineering, Information Technology, Communications or other related disciplines. . Strong knowledge and experience in Devops automation, containerisation and orchestration using tools like Kubernetes, Terraform, Ansible and Docker . Strong scripting skills e.g. Python, Bash, JavaScript . Cloud computing deployment and management experience - AWS . Understand/practice Agile projects . Strong understanding of networking
Preferred: . Experience with highly scalable distributed systems . Breadth of knowledge - OS, networking, distributed computing, cloud computing
What to expect: . Manage the development of the internal engineering productivity tools and environments. . Providing DevOps architecture implementation and operational support . Architecture and planning for cloud deployments (Private and Public cloud) . Be an innovative and hands-on DevOps engineer capable of looking at both the technology and strategy around the platform. . Future-proofing the technical environments and ensuring extremely high levels of automation, availability, scalability and resilience. . Manage the development of the internal engineering productivity tools and environments. . Manage processes, automation, best practices, documentation. . Development and operation of continuous integration and deployment pipelines. . Monitoring automation to effectively detect/predict/prevent issues in the environment and code base. . Ability to conduct research into software issues and products as required . Working with the latest tools and techniques . Hands-on coding and mentoring, usually in a pair programming environment . Working in highly collaborative teams and building quality environments. . Ability to effectively prioritize and execute tasks in a high-pressure, fast paced, global environment . Knowledge in lots of different open-source technologies and configurations.
How to Succeed: . Degree or Diploma in Computer Science/Engineering, Information Technology, Communications or other related disciplines. . Strong knowledge and experience in Devops automation, containerisation and orchestration using tools like Kubernetes, Terraform, Ansible and Docker . Strong scripting skills e.g. Python, Bash, JavaScript . Cloud computing deployment and management experience - AWS . Understand/practice Agile projects . Strong understanding of networking
Preferred: . Experience with highly scalable distributed systems . Breadth of knowledge - OS, networking, distributed computing, cloud computing