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April

Azure & Devsecops Engineer (Aks Experienced)

Logicore - Sydney, NSW

IT
Source: uWorkin

Source: uWorkin

JOB DESCRIPTION

  • Well-known Large Financial Services Organisation
  • An exciting AI/ML project
  • Containers / Kubernetes Project
  • GitHub Enterprise Exposure
  • Initial 6 months contract
  • Ability to work 100% remotely


Description of the Company

My client's organisation is a global life insurance group focusing on the acquisition and management of in-force life insurance policies.

The organisation is an in-force specialist life insurer in Australia and New Zealand, providing existing customers with life insurance, super and investments.


Description of the Team

The organisation's technology area is fundamental to support the organisation's separation outcome, transformation outcome and ongoing IT & Cloud BAU requirements. Substantial design, build, operate and run responsibilities in the IT Cloud and DevOps capabilities are required to be overseen, lead and governed in the middle ground between the upfront Architecture team and delivery / operate(run) by the teams and managed service vendors. This role will be placed in the Cloud and AI area and be a key resource in an important project as well as future AI / ML projects.


Purpose of the Role

This hands-on Azure engineer role with good Azure AKS and GitHub Enterprise knowledge/experience is required to build/deploy the Azure Cloud solution from the project Azure architects LLD (Low Level Design) to host the AI and ML models and supporting cloud services and integrations. The person will interact with the product owner, project Azure Architect, close to the existing client’s AI/ML Data Engineers / ML Engineers & Data Scientists, and with support from our Microsoft account team where needed.


Main Focus Areas

For this project, many AI/ML models will be required for the Claims area of the business. This is the initial AI/ML model for the client, others will be developed. The role will build/deploy the Azure cloud infrastructure using the GitHub Enterprise suite to host these models (running as containers) and further models. Other similar AI/ML and data like projects will continue afterwards.

Role Specific Capabilities…

An already selected AI/ML specialist vendor will develop a containers-based solution on Azure AKS, the requirement is to design and build the AKS clusters. The assumption is the Azure Foundations are already in place.

This hands-on Azure cloud engineer will assist the Azure architect to design the cloud infrastructure layer using AKS (Azure Kubernetes Service) as the selected target containers hosting technology. Deliverables from the Architect are a HLD and an LLD.

The Azure Cloud engineer will then build/deploy non-prod and production AKS environments in a DevOps CI/CD way, using the GitHub Enterprise suite, such as GitHub Actions, GitHub Container Registry, GitHub Packages, Azure ARM or Terraform for IaC and potentially GitHub Secrets.

The candidate will have very strong Azure hands on experience, and specifically demonstrating good prior AKS experience, and the supporting Azure services such as storage, networking, Azure AD integration to AKS etc.


Experience Required


Essential

3 years + in Azure cloud engineer/hands-on roles

2 years + working in a DevOps way with Git/GitHub or similar

2 years + deploying with IaC (ARM or Terraform) and deployment pipelines

1 year + with building Azure AKS clusters experience, preferably in Production.


Desirable

GitHub Enterprise experience very desirable

Large organisation/Enterprise experience

Financial services sector experience

AI/ML technologies experience/exposure such as Spark framework (Databricks), TensorFlow, PyTorch, and languages Python and Scala

Qualifications


Mandatory qualifications

Azure Fundamentals certification

Azure Administrator Associate certification


Desirable qualifications

Azure Developer Associate

Azure DevOps Engineer

Azure Data Engineer Associate

Azure AI Engineer Associate

Azure Data Scientist Associate