Overall objectives
To ensure that the IT infrastructure and application environments are right-sized and proactively scaled to meet current and future business demand.
To analyse and report on system performance trends utilisation patterns and workload forecasts across compute storage network and application layers.
To support strategic investment planning and operational readiness by identifying capacity risks inefficiencies and optimisation opportunities.
To enable a data-driven approach to resource planning cost control and service resilience.
Role specific responsibilities
Monitor and analyse system and application performance data to identify utilisation trends and capacity constraints.
Forecast resource requirements based on historical trends business growth projections seasonal patterns and planned changes.
Support project and release planning by providing performance impact assessments and capacity risk analysis.
Contribute to cost optimisation efforts by identifying over-provisioned resources and underutilised assets.
Maintain performance models for core systems and review them regularly with architecture and engineering teams.
Develop and refine KPIs and SLIs that measure capacity headroom saturation risk and performance thresholds.
General functional responsibilities
Maintain documentation on capacity thresholds utilisation baselines and forecasting assumptions.
Collaborate with application owners infrastructure leads and finance teams to align technical capacity plans with business budgets.
Support post-incident reviews by analysing whether resource saturation contributed to outages or performance degradation.
Ensure capacity planning processes are embedded in change management release planning and IT strategy reviews.
Participate in annual budget planning and infrastructure lifecycle management by supplying data-driven recommendations.
Stay updated with evolving technologies and tools in performance analytics and capacity forecasting.
Qualifications :
Core competencies required
Strong experience with capacity planning and forecasting tools (e.g. Turbonomic BMC TrueSight VMware vRealize AWS/Azure native tools custom Grafana/Prometheus dashboards).
Understanding of statistical and ML-based forecasting models including trend extrapolation and seasonality analysis.
Familiar with system performance KPIs such as CPU/RAM/disk utilisation thread pool sizing IOPS database latency and transaction throughput.
Proficiency in using data tools (Excel PowerPivot Python R SQL) for large-scale data modelling and predictive analysis.
Effective communicator who can present technical capacity models to both engineering and business stakeholders.
Structured and methodical capable of producing formal analysis and risk reports.
Remote Work :
No
Employment Type :
Full-time
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