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Principle Platform Engineer

NTT DATA -
Sydney NSW

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Job Details

Full-time

Qualifications

CI/CD
Azure
Management
Ansible
DevOps
IT service management
Disaster recovery
Git
Google Cloud Platform
AWS
Cloud security
Terrafrom
Splunk
GitHub
Security
ServiceNow
AI
Analytics

Full Job Description

Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

The Opportunity

We are modernising the core platforms that underpin our Managed Services business and building an Azure-first, multicloud platform that can scale across teams, clients and services.

This is not a role for someone who has only operated within an already mature platform. We are looking for a Principal Platform Engineer who has helped design, build, modernise or significantly uplift cloud environments from the ground up, including the standards, guardrails, automation and operational patterns other teams depend on.

This is a senior individual contributor role with no direct reports, but significant technical influence. You will set technical direction, define reusable patterns, guide engineering teams and create golden paths that allow teams to deliver quickly, safely and consistently.

This role suits someone who stays hands-on, thinks in platforms, and is comfortable being the person teams turn to when the architecture gets complex

What You'll Do

Lead the technical architecture of our Azure-first, multi cloud platform.
Design and modernize platform foundations, including landing zones, identity, networking, security, governance, observability, automation and operational controls.

Define standards, reusable patterns and guardrails that engineering teams can build on.

Create golden paths and self-service capabilities that reduce ticket dependency and improve delivery speed.

Set direction for infrastructure as code and CI/CD, with Terraform as a primary tool.

Embed governance, security and cost controls as code, aligned to the Azure Well-Architected Framework.

Improve reliability through observability, backup, disaster recovery, resilience patterns and clear RPO/RTO expectations.

Work with operations and service management teams to ensure platforms are supportable, observable and operationally ready.

Drive automation-first platform engineering through IaC, policy as code, runbook automation and event-driven remediation.

Partner with automation and AI teams to ensure the platform can support future AI-enabled and agentic workflows safely.

Influence technical decisions across multiple teams without relying on formal authority.

What we’re looking for:

Strong production experience designing, building and operating Azure platforms at scale.

Proven experience building, modernizing or significantly uplifting cloud platform environments, not just operating within existing platforms.

Deep knowledge of Azure landing zones, management groups, subscriptions, networking, Entra ID, governance, policy, security, logging, monitoring and operational controls.

Strong infrastructure as code experience, ideally with Terraform.

Experience creating reusable engineering patterns, modules, pipelines, standards or golden paths.

Practical experience with CI/CD, Git-based workflows and automation.

Strong understanding of cloud security, identity, secrets management, segmentation, compliance and secure-by-default design.

Experience with observability, reliability engineering, backup, disaster recovery and operational readiness.

Good understanding of cloud cost management, tagging, policy controls and FinOps principles.

Working knowledge of at least one other cloud platform, such as AWS or GCP.

Ability to influence architects, engineers, security teams, operations and product teams through strong technical judgement.

Nice-to-Have:

Experience in managed services, technology services, outsourcing or enterprise platform environments.

Experience with Azure DevOps, GitHub Actions, Bicep, PowerShell, Python, Kubernetes, AKS, container platforms or API gateways.

Experience with Azure Monitor, Log Analytics, Sentinel, Defender for Cloud, Datadog, Splunk or similar tooling.

Experience with ServiceNow, ITSM integration, operational readiness, change governance or service transition.

Experience building internal developer platforms or platform-as-a-product capabilities.

Experience with automation platforms such as Ansible, Azure Automation, ServiceNow Flow Designer, Logic Apps, Rundeck or similar.

Experience building platforms that enable automation, AIOps, self-healing, event-driven remediation or agentic workflows.

You will thrive in this role if you:

enjoy solving complex platform problems

care about making the right thing the easy thing

can balance speed, security, reliability and cost

like building reusable patterns rather than one-off solutions

are comfortable challenging technical decisions constructively

can influence teams without needing direct authority

stay hands-on while thinking strategically

measure success by adoption, reliability and reduced friction

Why Join

You will help shape the platform that engineering and delivery teams rely on every day.

This is an opportunity to set technical direction, build strong cloud platform foundations, create better developer experiences, and make cloud delivery faster, safer and more consistent.

The goal is simple: build an Azure-first, automated, secure, observable and self-service platform that enables modern Managed Services delivery today and future AI-enabled operations tomorrow.

#APAC

Workplace type:

Hybrid Working

About NTT DATA
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune

Global 100. We are committed to accelerating client success and positively impacting society through

responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with

unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and

application services. Our consulting and industry solutions help organizations and society move

confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more

than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as

established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each

year in R&D.

Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

Third parties fraudulently posing as NTT DATA recruiters

NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us.

Apply Now

Refine Your Search

data center engineering operations trainee, aws data center engineering operations jobs

Principle Platform Engineer

Customer Success Engineer, Data Center Learning

Software Development Engineer

Senior Software Engineer, AWS

Delivery Consultant, AWS Professional Services

ICT Design Engineer, DC Design Engineering

Network Deployment Planning Manager, Global Network Delivery (GND), AWS DCC

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Infrastructure Solutions Architect

Senior Network Development Engineer, AWS

Senior Applied AI Solutions Architect, Amazon Connect, AWS, AWS Applied AI Solutions

Network Implementation Engineer - Physical Network Infrastructure

Director - Presales Enterprise Architect (Data/AI and Applications)

Director - Presales Enterprise Architect (Data/AI and Applications)

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