Platform Operations Engineer - GCC (Public Sector)

• 4-month contract, renewable
• Government project
• Hybrid work arrangement

About the Role

We are seeking a Platform Operations Engineer to build, secure, automate and operate ATLAS, NP’s Enterprise Data and AI Platform.

You will provide hands-on implementation and operational support across cloud, data and AI services, helping to ensure that the platform is secure, reliable, scalable, cost-efficient and compliant. You will work closely with architecture, engineering and governance teams, as well as solution onboarding, data engineering and AI implementation teams.

Key Responsibilities

Platform Engineering and Operations

• Build, configure and maintain ATLAS platform services, environments and integrations.

• Ensure platform reliability, performance and scalability, while supporting cost optimisation.

Cloud Security and Access Management

• Implement and manage identity and access management (IAM), encryption, secrets management and network security controls.

• Establish and enforce secure access to platform resources and data assets.

DevSecOps and Automation

• Develop and maintain CI/CD pipelines, Infrastructure as Code and platform automation.

• Standardise deployment, monitoring and operational processes.

Monitoring and Incident Management

• Implement monitoring, logging and alerting capabilities.

• Investigate, troubleshoot and resolve platform, security and operational issues.

Security and Compliance

• Monitor the platform’s security posture and ensure compliance with NP governance and security requirements.

• Support vulnerability remediation, audits and risk mitigation activities.

Technical Enablement and Collaboration

• Support solution onboarding, data engineering and AI implementation teams.

• Provide hands-on technical guidance and platform support for ATLAS use cases.

Requirements

Education and Experience

• Degree in Computer Science, Information Technology, Computer Engineering, Information Systems or an equivalent qualification.

• At least 10 years of relevant experience in cloud platform engineering, infrastructure engineering, DevSecOps or security engineering.

• Experience managing enterprise cloud or data platforms, including in Government Commercial Cloud (GCC) environments.

• Experience working with cloud-native data and AI platforms, including Azure Databricks.

Essential Requirements

• Hands-on experience with Azure services, networking, storage, compute and identity management, with relevant Azure certifications.

• Experience administering Azure Databricks or similar data and analytics platforms, including cluster management, jobs, orchestration and platform operations; relevant Databricks certifications.

• Experience implementing IAM, role-based access control (RBAC), encryption, secrets management and security monitoring controls.

• Hands-on experience with Terraform or other Infrastructure as Code tools, CI/CD pipelines, Git and scripting languages such as PowerShell, Python or Bash.

• Experience with monitoring, logging, incident management and operational support.

• Understanding of cloud security, vulnerability management, audit controls and compliance requirements.

• Strong troubleshooting, stakeholder engagement and technical documentation skills.

• Strong ownership and operational discipline, with a proactive approach to identifying and mitigating risks.

• Comfortable troubleshooting complex issues and collaborating across architecture, engineering and governance teams.

Advantageous

• Azure Administrator Associate certification.

• Databricks Certified Administrator certification.

• Terraform certification.

• Experience with Microsoft Defender, Microsoft Sentinel or Microsoft Purview.

• Experience supporting AI or GenAI platforms.

• Experience in Government, education or other regulated environments.
  

  /Ref: T24-272