We are looking for an Senior DevOps Engineer to have key role in the end to end delivery of the data strategy at Royal Mail, working alongside our Data Analytics, Engineering and Data Science team to ensure that engineering and product delivery have the best practices and standards.
This is a crucial role for Royal Mail as a tech company in order to implement innovative data use cases to put ourselves technologically ahead of our competitors so you should expect to have high impact and visibility from the business and junior line management and mentorship exposure.
In this role you will :
Manage the team responsible for implementation of DevOps strategy and automation pipelines to deliver our GCP Data Platform.
Build, continuously improve / scale, and maintain GCP infrastructure to optimise our data products and data pipelines for performance and cost
Technical SPOC for our Business Partners from initial automation concept, through into BAU support and on-going incident management
Design, implementation and monitoring of our CI / CD pipelines covering infrastructure, code build and deployment
Drive and mentor data engineering teams to ensure strategic data product outcomes that incrementally reduce our data estate technical debt
Automate the provision of our front-line applications into containers across multiple technologies across our data portfolio.
Drive the design, development, test, optimisation, and deployment of stabile data solutions to Google Cloud Platform that are cost-effective
Liaise daily with Delivery Managers to ensure our activities are on track and with Platform Owners to ensure technical issues are overcome.
Input into planning, estimation and prioritisation within an agile framework to fulfil the backlog
Ensure we deliver the right support documentation, processes and supplier handoffs to ensure new data products run successfully in BAU
Line manage, continuously improve, certify and mentor data and DevOps engineers
Qualifications and experience required :
You will have proven experience in automation with excellent knowledge of the best engineering and data practices in a commercial environment.
Ideally you should have a very comfortable knowledge in the following areas :
CI / CD automation pipelines - Jenkins, Bitbucket, Nexus, Python, Bash, Groovy
Cloud infrastructure - IaC with Terraform, Puppet / Ansible and multi-cloud provider expertise (GCP, AWS, Azure) Kubernetes (GKE) is ideal.
Exposure to implementations of Cloud Data Warehouses and Data Lakes, NiFi, Kafka, Machine Learning or AI extremely useful.
Daily experience of JIRA and confluence and automated testing and release management tools is preferred.
A degree or relevant Cloud (Google preferred) engineering certifications are preferred.
Our technology vision is to Enable, Digitise, Realise