Senior Cloud Engineer

Pearson Carter

City of Melbourne

On-site

AUD 140,000 - 180,000

Full time

14 days+

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Qualifications

  • Hands-on experience deploying and operating Azure apps/services.
  • Proficiency with infrastructure as code (Bicep).
  • Proven ability to design and maintain CI/CD pipelines in Azure DevOps or GitHub Actions.
  • Strong DevOps mindset: automation, monitoring, and release management.
  • Experience designing secure REST APIs and integrating with internal systems.
  • Interest or experience with agentic AI concepts and tools.

Responsibilities

  • Design, develop and operate cloud-native applications on Azure across the full SDLC.
  • Build and manage infrastructure as code to ensure repeatable environments.
  • Create CI/CD pipelines for automated build, test, security scans and deployment.
  • Advocate DevOps practices including monitoring, observability and automation.
  • Develop REST APIs and secure them with robust auth and versioning.
  • Integrate agentic AI capabilities with APIs and data platforms.

Skills

Azure cloud
CI/CD pipelines
DevOps practices
REST API design
C#/.NET
Agentic AI interest

Tools

Azure DevOps
GitHub Actions
Bicep

Job description

The role

We're looking for a skilled and motivated Cloud Software Engineer to join a high‑profile national law firm with a strong reputation in the legal industry. You'll be part of an ambitious, agile team responsible for designing, building and operating in‑house web applications and services on a modern, cloud‑native, API‑first architecture running on Microsoft Azure. These applications are critical to the firm's operations and are built and delivered through automated infrastructure‑as‑code and CI/CD pipelines.

  • You'll be working on challenging and impactful projects that directly contribute to the success of a leading national law firm.
  • Current projects include agentic AI applications for the legal industry that will truly revolutionise traditional legal services – autonomous, tool‑using AI agents that reason over legal workflows, orchestrate tasks and integrate directly with our REST APIs.
  • Be part of a collaborative and supportive team environment.
  • Access to continuous learning and professional development opportunities.
  • Competitive salary and benefits package.
Key Responsibilities
  • Design, develop and operate robust, scalable cloud‑native applications and services on Microsoft Azure across the full software development lifecycle.
  • Build and maintain infrastructure as code (Bicep) so that environments are repeatable, version‑controlled and self‑documenting.
  • Design, build and operate CI/CD pipelines that automate build, test, security scanning and deployment from commit to production.
  • Champion DevOps practices across the team – automation, monitoring, observability, infrastructure‑as‑code and a culture of continuous improvement and shared ownership.
  • Design, build and secure REST APIs that power our applications and serve as integration points for internal systems and AI agents.
  • Develop agentic AI capabilities – integrating large language models, tool/function calling and autonomous agent orchestration with our APIs and data platforms.
  • Collaborate with developers and stakeholders to define requirements and deliver high‑quality solutions.
  • Troubleshoot, debug and resolve issues across applications, pipelines and cloud infrastructure.
  • Participate in code reviews and contribute to the continuous improvement of development and DevOps practices.
  • Stay up to date with emerging cloud, DevOps and AI technologies and propose innovative solutions to business challenges.
Required Technical Skills
  • Hands‑on experience deploying, configuring and operating applications and services on Microsoft Azure (App Services, Functions, Storage, Cosmos DB, Key Vault, Application Insights, API Management and Logic Apps).
  • Experience with infrastructure as code – provisioning and managing Azure resources using Bicep.
  • Proven experience building and maintaining CI/CD pipelines in Azure DevOps and/or GitHub Actions, including automated build, test and deployment, and managing source code in Git.
  • Strong DevOps background – automation, release management, environment configuration, secrets management, monitoring and observability.
  • Demonstrated experience designing, building and securing REST APIs (authentication, authorisation, versioning and documentation).
  • Exposure to or strong interest in agentic AI – building with large language models, retrieval‑augmented generation, and tool/function calling.
  • Solid backend development experience in C#/.NET (.NET 8/9/10 and .NET Framework 4.6).
Nice to have
  • Azure certifications (e.g. AZ‑204, AZ‑400, AI‑102).
  • Experience integrating AI agents with enterprise systems and data sources.
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