Senior Cloud Engineer at Datacom

Wellington, Wellington, New Zealand -

Full Time

Start Date

Immediate

Expiry Date

01 Jun, 26

Salary

0.0

Posted On

03 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure, Agentic Automation, Infrastructure as Code, Azure AI, Azure OpenAI, AI Search, Cognitive Services, Bicep, Terraform, DevOps, CI/CD, Azure DevOps, GitHub Actions, AKS, Entra ID, RBAC

Industry

IT Services and IT Consulting

Description

Our Why Datacom works with organisations and communities across Australia and New Zealand to make a difference in people’s lives and help organisations use the power of tech to innovate and grow. About the Role (your why) We have an outstanding Azure engineering opportunity that you won’t want to miss! You will be joining a fantastic team within our Public Cloud practice, where collaboration and mutual support across team and locations are core values. This is your chance to be part of a business and team that places a strong emphasis on both people and customer success. We are looking for an individual with a growth mindset who is always learning, has excellent interpersonal and communication skills, and possesses strong technical knowledge of Azure platform engineering. Alongside an interest and tangible experience in Azure AI capabilities and AI platform engineering workflows. What you’ll do Your day-to-day activities will include designing, engineering, and delivering technical solutions for clients using Azure services, with a focus on agentic automation, infrastructure-as-code, and integrating intelligent cloud solutions, while maintaining strong client relationships. As a Senior Azure Cloud Platform Engineer, your key responsibilities include but are not limited to: Engineering – providing expert technical guidance and solutions to resolve business challenges. Implementation, migration, and modernisation – delivering cloud platform solutions on Azure. Leveraging your expert skills in Infrastructure as Code, platform and application/workload lifecycle management to provide great outcomes for your clients. Innovation – identifying opportunities to adopt and integrate Azure AI services (such as Azure OpenAI, AI Search, or Cognitive Services) to future-proof client environments. Developing and maintaining strong internal and external relationships, demonstrating technical excellence throughout all engagements. Contributing to standards, practices and practice initiatives. What you’ll bring This role suits a collaborative and proactive professional passionate about cloud technologies and delivering excellent solutions that meet client needs. Ideally, you will have 5+ years in IT with at least 3 years’ experience in cloud project delivery or platform engineering. We want to hear about your hands-on experience delivering complex Azure cloud projects, your strong communication skills, and your ability to build trusted client relationships. We value people who stay ahead of the curve—whether that's experimenting with generative AI tools, exploring how AI can enhance cloud solutions, or simply being curious about emerging technologies. Highly Desirable Skills and Experience: Microsoft Certified: Azure Solutions Architect Expert, Azure Administrator Associate, or equivalent certifications Experience deploying Azure Landing Zones for medium to large enterprises using Azure CAF (Cloud Adoption Framework) best practices Migration of services to and within Azure, including lift-and-shift and cloud-native transformations Intermediate to expert experience with Infrastructure as Code using, Bicep and/or Terraform Strong knowledge of DevOps and CI/CD pipeline design and implementation using Azure DevOps and GitHub Actions, including leveraging GitHub Copilot to accelerate development productivity and improve code quality Good working knowledge of accelerator-based deployments and vending architectures to streamline and standardise cloud infrastructure delivery Advanced Azure security and networking skills including Entra ID, Role-Based Access Control (RBAC), Azure Policy, Azure Security Center, VNets, Subnets, NSGs, and Azure Firewall Foundational knowledge or hands-on experience with Azure AI Services (e.g., Azure OpenAI, Azure AI Search, Azure Machine Learning, or Azure AI Studio). An understanding of how to securely architect and govern AI workloads within an enterprise Azure environment (Data privacy, networking, and RBAC for AI). Container orchestration and management experience using Azure Kubernetes Service (AKS), Azure Container Instances (ACI), and Docker Experience with Windows and Linux operating systems in cloud environments Integration experience with identity and federation providers such as Entra ID, ADFS, or third-party SSO solutions Curiosity and enthusiasm for AI and its application to cloud architecture and migration Exposure to Azure AI services such as Azure OpenAI Service, Azure Machine Learning, or Microsoft Copilot Experience using AI-assisted development or productivity tools (e.g., GitHub Copilot) Why join us here at Datacom? Datacom is one of Australia and New Zealand’s largest suppliers of Information Technology professional services. We have managed to maintain a dynamic, agile, small business feel that is often diluted in larger organisations of our size. It's our people that give Datacom its unique culture and energy that you can feel from the moment you meet with us. We care about our people and provide a range of perks such as social events, chill-out spaces, remote working, flexi-hours and professional development courses to name a few. You’ll have the opportunity to learn, develop your career, connect and bring your true self to work. You will be recognised and valued for your contributions and be able to do your work in a collegial, flat-structured environment. We operate at the forefront of technology to help Australia and New Zealand’s largest enterprise organisations explore possibilities and solve their greatest challenges, so you will never run out of interesting new challenges and opportunities.

Responsibilities

The role involves designing, engineering, and delivering technical solutions for clients using Azure services, focusing on agentic automation, infrastructure-as-code, and integrating intelligent cloud solutions. Key duties include providing expert technical guidance, implementing cloud platform solutions on Azure, and leveraging Infrastructure as Code for lifecycle management.