Devops Engineer - DV cleared

Participating in the full lifecycle of data solution development, from requirements engineering through to continuous optimisation engineering and all the typical activities in between Providing technical thought-leadership and advisory on technologies and processes at the core of the data domain, as well as data domain adjacent technologies Engaging and collaborating with both internal and external teams and be a confident participant as well as a leader Assisting with solution improvement activities driven either by the project or service

+DevOps Engineer experience

+Data engineering skills

+Ansible / Terraform, An organised and methodical approach, with excellent time keeping and task prioritisation skills An ability to convey technical concepts to all levels of an audience, concisely, and with clarity An understanding of data-centric architectures and solutions that is both broad and in some depth. Data engineering skills - ETL/ELT Technical implementation skills - application of industry best practices & designs patterns Technical advisory skills - experience in researching technological products / services with the intent to provide advice on system improvements Experience of working in hybrid environments with both classical and DevOps Excellent knowledge of Linux operating system administration and implementation Broad understanding of the containerisation domain adjacent technologies/services, such as: Docker, OpenShift, Kubernetes etc. Infrastructure as Code and CI/CD paradigms and systems such as: Ansible, Terraform, Jenkins, Bamboo, Concourse etc. Monitoring utilising products such as: Prometheus, Grafana, ELK, filebeat etc. Observability - SRE Big Data solutions (ecosystems) and technologies such as: Apache Spark and the Hadoop Ecosystem Edge technologies e.g. NGINX, HAProxy etc. Excellent knowledge of YAML or similar languages