Platform Operations Engineer

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.