Senior Devops Engineer - Azure Devops

Job Description

Role Overview As part of our investment into Technology, Operations and Product, Kantar is looking for a dedicated Senior DevOps Engineer to enrich our Central DevOps practice, to provide thought leadership in driving the future of our DevOps center of excellence. You will partner with our architects and product managers to implement our strategy, delivering new technical capabilities and services which will be instrumental to the end-to-end adoption and delivery of Kantar's ambitious Product roadmap! Reporting to Kantars Technology division, this role will provide technical expertise in maturing our DevSecOps practice, supporting the secure-first approach to automating the provisioning of enterprise-grade data infrastructure and applications. It's an exciting time to join Kantar; you will get the opportunity to work with industry-leading cloud-native technology and will play an influential role in supporting our federated product engineering teams to adopt our engineering patterns and services, facilitating the delivery of high-impact solutions for our customers! Key Responsibilities Engineering Excellence Responsible for designing, building, and optimizing the automation processes for provisioning infrastructure and applications via infrastructure-as-code Standardize and streamline build and release pipelines CICD Configure and administer platforms and services Support operational activities by ensuring platforms and infra for pipelines are optimal, recoverable, and easily scalable to meet the capacity demands Provide incident management oversight root cause analysis, stakeholder communications, post-mortems, and manage preventative measures and resolutions Drive improvements in operational efficiency for all services Actively involved in deployments of platform and pipeline artefacts Ensure security, high availability, and disaster recovery are always front of mind Continuous monitoring of cost and risk with a view to reducing and mitigating Ensure production and non-production environments stay in sync through the alignment of stable standards, code and configurations Identify relevant emerging trends and build compelling cases for adoption e.g. tool selection Involved in PoCs, prototypes and innovation spikes to seek directional outcomes Capabilities and Experience Essential Experience Proficient with CICD toolchains (e.g. Azure DevOps, Jenkins, Git, Artefactory etc.) Proficient in one or more scripting languages for automation (e.g. Linux Bash, PowerShell, Python) Proficient in provisioning platforms via Infrastructure-as-Code (IaC) techniques (e.g. Terraform, YAML, Azure Resource Manager (ARM)) Working experience configuring, securing and administering platforms in Azure; knowledge in Cloud infrastructure and networking principles (e.g. Azure PaaS, IaaS) Demonstrable knowledge of working with distributed data platforms (e.g. Azure ADLS, Data Lakes) Experience working with vulnerability management and code-inspection tooling (e.g. Snyk, SonarQube) Possess an automation-first mindset when building solutions; considerations for self-healing and fault-tolerant methods to minimize manual intervention and downtime Desirable Experience Experience building/maintaining an API-led event-driven architecture, e.g. using Azure Event Grid, Azure Functions Cluster image container management (e.g. Azure Container Registry) Good understanding of network configuration DNS, Routing, VPN, Firewalls, Endpoint management Experience of including vulnerability management within the deployment pipelines for package dependencies and containers Experience in implementing custom Data Observability, capturing telemetry to understand the health of data and pipelines better Behaviours/Competencies A passion for engineering and automation Ability to communicate fluently in English Complex problem-solving ability; structured, process-driven, and outcome-oriented Comfortable working with remote teams across multiple countries Believe in continual learning to stay fresh in an ever-evolving technology landscape Adaptable to shifting business requirements and occasional ambiguity Practical knowledge of varying delivery approaches, e.g. SCRUM, SAFe, Agile & Waterfall Innovative and positive influencer