Platform Operations Engineer

Role OverviewGuidance: In 2–3 sentences, describe the role's purpose, where it sits within the team, and why it matters to theagency's objectives. Avoid copy-pasting from an unrelated JD — mismatched context is a common source ofcandidate and contractor confusion.Example: The [Role Title] plays a key supporting role within the [Department/Team Name]. The incumbent will beresponsible for end-to-end ICT procurement operations, ensuring compliance with government procurementguidelines, 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-efficientand compliant, while providing hands-on implementation and operational support across cloud, data and AIservices.Key Responsibilities⚠ REQUIREDGuidance: 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 isone 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 contractrenewals, and resolve operational escalations.• Stakeholder Engagement: Collaborate with internal project teams and external suppliers to clarify technicalspecifications and procurement requirements.• Compliance & Reporting: Ensure all procurement records, rate cards, and documentation are accuratelymaintained for audit readiness.• [Insert Duty]: [Add specific daily operational or project-based responsibility]1. Platform Engineering & Operationsa. Build, configure and maintain ATLAS platform services, environments and integrations.b. Ensure platform reliability, performance, scalability and cost optimisation.Official (Closed) - Non Sensitive2. Cloud Security & Access Managementa. 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 & Automationa. Develop and maintain CI/CD pipelines, Infrastructure-as-Code and platform automation.b. Standardise deployment, monitoring and operational processes.4. Monitoring & Incident Managementa. Implement monitoring, logging and alerting capabilities.b. Investigate, troubleshoot and resolve platform, security and operational issues.5. Security & Compliancea. Monitor platform security posture and ensure compliance with NP governance and securityrequirements.b. Conduct vulnerability remediation, audit support and risk mitigation activities.6. Technical Enablement & Collaborationa. Support solution onboarding, data engineering and AI implementation teams.b. Provide hands-on technical guidance and platform support for ATLAS use cases.Requirements & QualificationsA. Educational Qualification & ExperienceEducation: Degree in Computer Science, Information Technology, Computer Engineering, Information Systems orequivalent.Experience:• Minimum 10 years of relevant experience in Solution Architecture, Data Architecture or EnterpriseArchitecture.• 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 CompetenciesGuidance: 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-sourcingand 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 ordata platforms. Experience in GCC environments.• Cloud Technologies - Hands-on experience with Azure services, networking, storage, compute and identitymanagement. Obtained relevant Azure Certifications.• Platform Administration - Experience administering Azure Databricks or similar data and analyticsplatforms. Understanding of cluster management, jobs, orchestration and platform operations. Obtainedrelevant Databricks Certifications.Official (Closed) - Non Sensitive• Security Engineering - Experience implementing IAM, RBAC, encryption, secrets management and securitymonitoring controls.• DevSecOps & Automation - Hands-on experience with Terraform or Infrastructure-as-Code, CI/CDpipelines, Git, Scripting (PowerShell, Python or Bash)• Monitoring & Operations - Experience with monitoring, logging, incident management and operationalsupport.• Security & Governance - Understanding of cloud security, vulnerability management, audit controls andcompliance requirements.• Problem Solving & Collaboration - Strong troubleshooting, stakeholder engagement and technicaldocumentation 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 environmentsC. 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.