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Platform Engineer – Azure, GitLab, GitHub, Azure DevOps
Neilson Financial Services. Build, maintain, and troubleshoot CI/CD pipelines across GitLab CI, GitHub Actions, and Azure DevOps Pipelines .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining CI/CD pipelines using GitLab CI, GitHub Actions, and Azure DevOps, with a strong focus on deploying to Azure using Terraform or Bicep. Proficient in scripting and integrating AI coding tools to enhance development workflows and ensure robust pipeline security and auditability.
Highest-signal resume keywords
CI/CD Pipeline DevelopmentAzure Deployment with TerraformScripting in PythonProduction Azure ExperienceAI Coding Tools Integration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
CI/CD Pipeline DevelopmentTerraformBicepScripting in PythonScripting in BashScripting in PowerShellAzure DevOpsGitLabGitHubSDLC Understanding
Tools & Technologies
GitLab CIGitHub ActionsAzure DevOps PipelinesAI Coding ToolsAgentic Workflows
Certifications & Qualifications
Azure Certifications
Industry Keywords
Platform EngineeringDevOpsBuild/Release EngineeringData Pipeline ExperienceFinancial Services
Tech Stack
Tools & technologiesAzureKubernetesPythonSDLCTerraform
About the role
Key responsibilities & impact- Build, maintain, and troubleshoot CI/CD pipelines across GitLab CI, GitHub Actions, and Azure DevOps Pipelines
- Work directly with Dataworks engineers to turn delivery needs into reliable, repeatable pipelines
- Deploy to Azure with Terraform or Bicep, including AKS where applicable
- Build security scanning, auditability, and change control into every pipeline
- Use AI coding tools and agentic workflows to speed up development and migration work
- Provide feedback to improve AI coding tools and agentic workflows
- Document the work so the Dataworks team can own it when the term ends
- Own day-to-day pipeline work end to end
Requirements
What you’ll need- 4+ years in platform engineering, DevOps, or build/release engineering
- Genuine hands-on depth across more than one of GitLab, GitHub, and Azure DevOps
- Production Azure experience, including networking, Entra ID, and compute
- Terraform or Bicep
- Scripting in Python, Bash, or PowerShell
- Practical experience using AI coding agents or building agentic workflows in real delivery work
- Solid grasp of the SDLC, including branching, environment promotion, and change control
- Full work rights in Australia; no sponsorship provided
- Nice to have: data pipeline experience, financial services or other regulated industry background, Kubernetes and Helm, Azure certifications
Benefits
Comp & perks- 6-month fixed-term role with defined 30-day, 3-month, and 6-month goals
- Hybrid working: three days in the central Sydney office and two days from home
- Subsidised catered lunch up to $22
- Hands-on work with AI agentic tooling in a regulated environment