Lead, Cloud Engineer - Azure

Job Classification:

Technology - Engineering & Cloud

Are you interested in building capabilities that enable the organization with innovation, speed, agility, scalability and efficiency? The Global Technology team takes great pride in our culture where digital transformation is built into our DNA! When you join our organization at Prudential, you’ll unlock an exciting and impactful career – all while growing your skills and advancing your profession at one of the world’s leading financial services institutions. 

Your Team & Role

As a Lead, Cloud Engineer in Global Technology & Operations (GTO) ,  you will partner with product owners, tech leads, designers, software engineers and delivery professionals to improve on the Cloud Platform. You will design, plan, administer, develop, or maintain applications in cloud-based environments as we solve sophisticated business problems, deploy innovative products, services, and experiences to delight our customers! In addition to advanced technical expertise and experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do. 

Here is What You Can Expect on a Typical Day  

• Deliver computing services in cloud-based environments like Microsoft Azure or AWS. Develop and support solutions to automate the creation, management, or destruction of infrastructure; remove technical impediments

• Provide easily consumable services to software development teams to assist in the consumption of infrastructure solutions and partner to implement them

• Accelerate application development by building patterns of infrastructure services that are consumed self-service, resilient, reliant and in accordance with Prudential standards

• Collaborate with product owners in understanding needs and defining feature stories, tech leads in defining technical design and other team members to understand the system end-to-end and deliver robust solutions that bring about business impact and support the goals

• Automate unit and integration test cases, solve problems and add new value with automation

• Develop corporate platform standards based on cost, capability and capacity requirements to drive business value; document solutions to support the adoption of developed solutions

• Bring a strong understanding of relevant and emerging technologies, provide input and coach team members and embed learning and innovation in the day-to-day  

• Work on complex problems in which analysis of situations or data requires an evaluation of intangible variables.

• Apply infrastructure fundamentals to Linux/Unix operating systems, database, network and TCP/IP, and common communication protocols 

• Use programming languages including but not limited to Python, Shell/Power scripting, Groovy, Modern languages and Ansible, CloudFormation and Terraform frameworks 

The Skills & Expertise You Bring

• Bachelor's degree or equivalent experience in Information Technology, Computer Science or a related field  

• Ability to lead independently with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization    

• Experience with agile development methodologies and Test-Driven Development (TDD) 

• Knowledge of business concepts tools and processes that are needed for making sound decisions in the context of the company's business 

• Understanding of foundational Azure services such as Azure Virtual Network, Azure ExpressRoute, Azure Virtual Machines, Azure Blob Storage, Azure SQL, Azure Virtual Machine Scale Sets, Azure Grid, Azure Batch, Azure O365 and Sharepoint Apps, Azure Monitor, Azure Image Gallery. etc.

• Ability to proficiently write code in Python, Node.js, Bash (shell), PowerShell, or other similar languages.

• Strong knowledge of Docker and container orchestration platforms such as Azure Container Instances, AKS, and others.

• Familiar with ETL and big data tool-chains such as those provided by Azure Databricks/HDInsight, Azure Data Factory, or similar.

• Solid understanding of DevOps automation tools, practices & capabilities (continuous integration & continuous delivery) such as Jenkins, GitHub, Terraform , or other comparable tools.

• Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challen