In this role, you will

Ø  Manage Operation and enhancement of the strategic cybersecurity data lake and advanced analytics platform in Azure cloud.

Ø  Build and manage CSA Azure platform to enable application deployments.

Ø  Engineer solutions on the Azure platform using Infrastructure-as-Code methods (e.g., Terraform)

Ø  Manage Azure connectivity and networking e.g. Express Route, DNS, IP allocation and traffic routing, Network Security Gateways (NSG) and Azure Firewall.

Ø  Gather requirements and ensure continuous feedback loops between CSA and the wider Azure Cloud Services team.

Ø  Execute the functional pattern lifecycle process within the code library (design, document, develop, and maintain).

Ø   Ensuring reliable and resilient services that comply with applicable controls and regulations, meet stakeholder functional and non-functional requirements, and operate within cybersecurity's risk, cost, and quality tolerances.

Ø  Ensure compliance with operational risk management standards (e.g., Network, Firewall, OS, Logging, Monitoring, Availability, Resiliency).

Requirements

The successful candidate will be a student of the Google Site Reliability Engineering (SRE) philosophy as applied to managing large-scale cloud infrastructure, possess skills and experience within one or more of the following areas, and demonstrate a willingness to learn additional skills via certification and/or on-the-job learning where required. 

Ø  Programming, Software & Network Principles

Ø   Experience with SRE and Azure DevOps

Ø  Ability to script (Bash/PowerShell, Azure CLI), code (Python, C#, Java), query (SQL, Kusto query language) coupled with experience with software versioning control systems (e.g., GitHub) and CI/CD systems.

Ø  Programming experience in the following languages: PowerShell, Terraform, Python Windows command prompt and object orientated programming languages.

Ø  Demonstrable experience of Linux administration and scripting (preferably Red Hat Systems)

Ø   Understanding of hardware and software principles and storage technologies (SSD, HDD, NVMe), CPU architectures, and Memory & Operating system principles (especially network stack fundamentals)

Ø  Understanding of network protocols and network design

Ø  Data Quality, Data Management, Data Controls & Data Governance ,Security and Compliance, e.g., IAM and cloud compliance/auditing/monitoring tools

Ø  Cloud & Big Data Technologies such as Azure Cloud, Azure IAM, Azure Active Directory (Azure AD), Azure Data Factory, Azure Databricks, Azure Functions, Azure, Kubernetes, Service, Azure Logic App, Azure Monitor, Azure Log Analytics, Azure Compute, Azure Storage, Azure Data Lake Store, S3, Synapse Analytics and/or PowerBI

Ø   Experience with server, operating system and infrastructure technologies such as Nginx/Apache, CosmosDB, Linux, Bash, PowerShell, Prometheus, Grafana, Elasticsearch)

Ø  Experience with Infrastructure-as-Code and Automation tools such as Terraform, Chef, Ansible, CloudFormation/Azure Resource Manager (ARM)

Ø  Streaming platforms such as Azure Event Hubs or Kafka, and stream processing services such as Spark streaming

Ø  Experience with Security Information & Event Management (SIEM) and Security Orchestration, Automation & Response (SOAR) technologies, especially cloud based, is a significant asset