Azure DevOps Engineer - Terraform | AI Talent · Teeming.ai
AI Talent
AI Talent is an Australian-owned company established in 2010, specializing in providing exceptional AI professionals for impactful projects. With over 25 years of industry experience, they offer seamless access to a curated pool of AI talent for short to long-term engagements. They headhunt globally, bringing world-class AI professionals to Australia, and are approved suppliers to the government, working with blue-chip and Fortune 500 corporations, with strong partnerships with AWS and Microsoft. Their business model focuses on directly employing AI experts to ensure high standards and offers a flexible subcontracting model for clients to select experts for their projects, emphasizing their niche focus on AI and local onsite availability.
AI TalentArtificial IntelligenceAustraliaCloudData ScienceIT StaffingMachine LearningRecruitmentaitalent.com.au
AI Talent
AI Talent is an Australian-owned company established in 2010, specializing in providing exceptional AI professionals for impactful projects. With over 25 years of industry experience, they offer seamless access to a curated pool of AI talent for short to long-term engagements. They headhunt globally, bringing world-class AI professionals to Australia, and are approved suppliers to the government, working with blue-chip and Fortune 500 corporations, with strong partnerships with AWS and Microsoft. Their business model focuses on directly employing AI experts to ensure high standards and offers a flexible subcontracting model for clients to select experts for their projects, emphasizing their niche focus on AI and local onsite availability.
AI TalentArtificial IntelligenceAustraliaCloudData ScienceIT StaffingMachine LearningRecruitmentaitalent.com.au
HQSydney, AU
Team Size48
Open Jobs28
Total Funding-
Latest FundraiseUnknown
Join the Team
Azure DevOps Engineer - Terraform
HybridSydney, New South Wales, AU
Hybrid • Sydney, New South Wales, AU
Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.
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We're partnering with a dynamic and rapidly expanding leader in the
Digital Media and Streaming
sector, dedicated to delivering seamless content experiences and continuously evolving their platform. For the right candidate with the necessary skills and experience, we are pleased to offer
482 visa sponsorship
.
We are looking for a talented
Azure DevOps Engineer
to join their innovative team. The ideal candidate will have extensive experience in managing and deploying applications on Azure, with a strong focus on Linux environments, Java-based applications, and Docker. This role requires proficiency in
Infrastructure as Code (IaC)
, specifically
Terraform
, Azure Classic Editor (moving to YAML), Linux
operating
system administration, Maven for build automation, and a solid understanding of the DevOps lifecycle with integration of security into CI/CD pipelines as a critical aspect.
Key Responsibilities
Required Skills
Design, implement, and manage CI/CD pipelines
using Azure DevOps services to ensure seamless integration and deployment of Java-based applications.
Develop and manage Infrastructure as Code (IaC)
using
Terraform
for provisioning and managing Azure resources (e.g., VMs, Storage Accounts, Networking).
Automate build, test, and deployment processes
using tools like Maven, PowerShell scripts, and bash shell scripts.
Monitor and maintain on-premise Linux servers and environments
, ensuring high availability and performance.
Liaise
with vendors supporting the servers.
Collaborate with development and test teams
to ensure code quality, integration of security scanning, and automated tests in the CI/CD pipelines.
Manage source code repositories and artefacts using Azure Repos and Azure Artifacts
.
Provision and manage access to Azure Storage Containers
via sFTP Azure, and
convert Classic Editor Azure CI/CD to YAML
.
Integrate security practises
into the CI/CD pipeline to ensure secure application deployment.
Troubleshoot and resolve issues
related to application deployment and infrastructure.