The posting
Role Overview
Guidance: In 2–3 sentences, describe the role's purpose, where it sits within the team, and why it matters to the
agency's objectives. Avoid copy-pasting from an unrelated JD — mismatched context is a common source of
candidate and contractor confusion.
Example: The [Role Title] plays a key supporting role within the [Department/Team Name]. The incumbent will be
responsible for end-to-end ICT procurement operations, ensuring compliance with government procurement
guidelines, contract execution, and vendor management to support agency-wide digital initiatives.
The Platform & Operations Engineer is responsible for building, securing, automating and operating ATLAS,
NP's Enterprise Data & AI Platform. The role ensures the platform is secure, reliable, scalable, cost-efficient
and compliant, while providing hands-on implementation and operational support across cloud, data and AI
services.
Key Responsibilities⚠ REQUIRED
Guidance: List 4–6 primary duties using strong action verbs (Manage, Lead, Review, Coordinate). Where possible,
state a frequency or measurable outcome (e.g., “weekly”, “within 5 business days”) — unstated frequency/volume is
one of the most common clarification points raised by contractors.
Example:
• Procurement Execution: Lead or support the drafting, evaluation, and processing of ICT tenders, quotations,
and contract documents in alignment with statutory standards.
• Contract & Supplier Management: Monitor vendor performance, track deliverables, manage contract
renewals, and resolve operational escalations.
• Stakeholder Engagement: Collaborate with internal project teams and external suppliers to clarify technical
specifications and procurement requirements.
• Compliance & Reporting: Ensure all procurement records, rate cards, and documentation are accurately
maintained for audit readiness.
• [Insert Duty]: [Add specific daily operational or project-based responsibility]
1. Platform Engineering & Operations
a. Build, configure and maintain ATLAS platform services, environments and integrations.
b. Ensure platform reliability, performance, scalability and cost optimisation.Official (Closed) - Non Sensitive
2. Cloud Security & Access Management
a. Implement and manage IAM, encryption, secrets management and network security controls.
b. Establish and enforce secure access to platform resources and data assets.
3. DevSecOps & Automation
a. Develop and maintain CI/CD pipelines, Infrastructure-as-Code and platform automation.
b. Standardise deployment, monitoring and operational processes.
4. Monitoring & Incident Management
a. Implement monitoring, logging and alerting capabilities.
b. Investigate, troubleshoot and resolve platform, security and operational issues.
5. Security & Compliance
a. Monitor platform security posture and ensure compliance with NP governance and security
requirements.
b. Conduct vulnerability remediation, audit support and risk mitigation activities.
6. Technical Enablement & Collaboration
a. Support solution onboarding, data engineering and AI implementation teams.
b. Provide hands-on technical guidance and platform support for ATLAS use cases.
Requirements & Qualifications
A. Educational Qualification & Experience
Education: Degree in Computer Science, Information Technology, Computer Engineering, Information Systems or
equivalent.
Experience:
• Minimum 10 years of relevant experience in Solution Architecture, Data Architecture or Enterprise
Architecture.
• Proven experience delivering enterprise-scale data platforms, lakehouses or analytics platforms.
• Experience leading architecture across multiple workstreams and vendors.
• Experience working with cloud-native data and AI platforms.
• Experience working with Azure Databricks and Government-Commercial-Cloud (GCC) environments.
B. Technical & Professional Competencies
Guidance: Essential = the candidate cannot succeed without it. Keep this list short and non-negotiable — overloading
“Essential” is the second most common cause of qualified candidates being screened out, which triggers re-sourcing
and rework.
Essential (Must-Have)
• Cloud & Platform Engineering - Minimum 10 years' experience in cloud platform engineering,
infrastructure engineering, DevSecOps or security engineering. Experience managing enterprise cloud or
data platforms. Experience in GCC environments.
• Cloud Technologies - Hands-on experience with Azure services, networking, storage, compute and identity
management. Obtained relevant Azure Certifications.
• Platform Administration - Experience administering Azure Databricks or similar data and analytics
platforms. Understanding of cluster management, jobs, orchestration and platform operations. Obtained
relevant Databricks Certifications.Official (Closed) - Non Sensitive
• Security Engineering - Experience implementing IAM, RBAC, encryption, secrets management and security
monitoring controls.
• DevSecOps & Automation - Hands-on experience with Terraform or Infrastructure-as-Code, CI/CD
pipelines, Git, Scripting (PowerShell, Python or Bash)
• Monitoring & Operations - Experience with monitoring, logging, incident management and operational
support.
• Security & Governance - Understanding of cloud security, vulnerability management, audit controls and
compliance requirements.
• Problem Solving & Collaboration - Strong troubleshooting, stakeholder engagement and technical
documentation skills.
Preferred (Advantageous)
• Azure Administrator Associate
• Databricks Certified Administrator
• Terraform certification
• Microsoft Defender, Microsoft Sentinel, Microsoft Purview
• Experience supporting AI or GenAI platforms
• Experience in Government, Education or regulated environments
C. Soft Skills & Communication Attributes
• Strong ownership and operational discipline.
• Hands-on and comfortable troubleshooting complex issues.
• Strong collaborator across architecture, engineering and governance teams.
• Proactive in identifying and mitigating risks.
