Careers at Tezza Business Solutions Ltd

Role Purpose 

• The Senior Platform/Solution Architect – Capacity Planning, Performance & Cloud Infrastructure Architecture is responsible for translating business demand, application traffic and workload characteristics into quantifiable infrastructure requirements across microservices, Kubernetes/OpenShift, cloud and on-premises environments. The role provides the technical capability to determine CPU, memory, pod/replica, node, cluster, database, storage and network requirements while ensuring performance, scalability, resilience, availability and cost efficiency. 

Core Responsibilities 

• Lead capacity planning and infrastructure dimensioning for applications, platforms and microservices-based services. 
• Translate business growth, transaction volumes and traffic forecasts into infrastructure capacity requirements. 
• Develop quantitative workload models covering normal, peak, burst and exceptional traffic conditions. 
• Determine appropriate CPU, memory, pod/replica, node and cluster requirements for application services. 
• Develop capacity forecasts and infrastructure roadmaps covering short-, medium- and long-term demand. 
• Ensure capacity plans support availability, resilience, disaster recovery and business continuity requirements. 
• Provide architecture and capacity recommendations for both cloud and on-premises environments. 
• Review existing environments to identify over-provisioning, under-provisioning, bottlenecks and capacity risks. 

Microservices Capacity Planning & Dimensioning 

• Assess resource consumption and performance characteristics of individual microservices. 
• Determine minimum, normal and maximum pod/replica requirements based on workload and service-level objectives. 
• Define CPU and memory requests and limits for containers. 
• Assess horizontal and vertical scaling requirements and define appropriate scaling policies. 
• Determine node density, resource utilisation and cluster capacity requirements. 
• Account for service-to-service communication, platform overhead and infrastructure reserve capacity. 
• Establish repeatable sizing methodologies for new applications and services. 
• Validate sizing assumptions through performance and capacity testing. 

​​​​​​​Capacity Planning Parameters & Metrics 

• Define and maintain standard parameters for application and infrastructure capacity planning. 
• Analyse requests per second (RPS), transactions per second (TPS), concurrent users, sessions and transaction volumes. 
• Analyse average, peak and burst traffic and associated growth patterns. 
• Assess CPU utilisation, CPU consumption per transaction, memory utilisation, memory peaks and application heap requirements. 
• Assess pod counts, replica requirements, scaling thresholds and scaling response times. 
• Determine node CPU, node memory and allocatable cluster capacity. 
• Assess database TPS, connections, CPU, memory, IOPS and throughput. 
• Assess storage capacity, IOPS, throughput and growth. 
• Assess network bandwidth, latency and packet rates. 
• Factor in high availability, N+1/N+2 resilience, disaster recovery, growth headroom and operational reserve. 

​​​​​​​Performance Engineering 

• Lead performance engineering and capacity validation for critical applications and platforms. 
• Define and oversee load, stress, endurance, spike, scalability and capacity testing. 
• Analyse throughput, response time, latency, concurrency and resource utilisation. 
• Identify application, platform, database, storage and network bottlenecks. 
• Establish performance baselines and capacity thresholds. 
• Use performance test results to validate CPU, memory, pod, node and cluster sizing. 
• Work with engineering teams to optimise resource consumption and application performance. 

Observability & Data-Driven Capacity Planning 

• Use production telemetry and historical performance data to develop evidence-based capacity models. 
• Leverage metrics, logs, traces and APM data to understand workload behaviour. 
• Use monitoring and observability platforms such as Prometheus, Grafana, OpenTelemetry, Dynatrace, AppDynamics or equivalent tools. 
• Correlate traffic, application performance, pod utilisation, infrastructure consumption and database performance. 
• Establish capacity thresholds, early-warning indicators and capacity risk dashboards. 
• Use trend analysis and forecasting to identify future infrastructure requirements before capacity constraints occur. 

Architecture Governance & Standards 

• Establish standard capacity planning and dimensioning methodologies across the organisation. 
• Define architecture principles, sizing standards, resource profiles and capacity governance processes. 
• Review and approve application capacity models and infrastructure sizing proposals. 
• Ensure new services meet defined scalability, availability, performance and capacity requirements before production deployment. 
• Establish governance for capacity reviews following major releases, traffic changes or architectural changes. 
• Maintain architecture documentation, capacity assumptions, sizing models and decision records. 

​​​​​​​Key Deliverables 

• Application Capacity Model 
• Microservices Dimensioning Model 
• CPU & Memory Sizing Model 
• Pod/Replica Sizing Model 
• Kubernetes/OpenShift Cluster Sizing 
• Database Capacity Model 
• Storage & IOPS Capacity Model 
• Network Capacity Model 
• Cloud Infrastructure Sizing 
• On-Premises Infrastructure Sizing 
• Three- to Five-Year Capacity Forecast 
• Peak/Event Capacity Plan 
• Performance Test Strategy and Capacity Validation Report 
• Capacity and Performance Dashboard 
• Infrastructure Bill of Materials (BoM) 
• Cloud Cost/TCO Model 
• Capacity Headroom and Risk Assessment 

​​​​​​​Experience & Professional Profile 

• Typically 10–15+ years of experience across solution architecture, platform architecture, cloud infrastructure, capacity planning, performance engineering or related disciplines. 
• Proven experience designing and dimensioning large-scale distributed systems and microservices platforms. 
• Strong experience with Kubernetes/OpenShift and containerised application environments. 
• Hands-on experience with cloud and on-premises infrastructure architecture. 
• Demonstrable experience in capacity planning, workload modelling, performance engineering and infrastructure forecasting. 
• Experience with large-scale, high-availability, transaction-intensive environments is highly desirable. 
• Experience in telecoms, financial services, digital platforms or other high-volume technology environments is advantageous. 

go to method of application »

Key Responsibilities

• Define and develop application code according to business needs
• Ensures proper documentation of every aspect of application implementations including setup and maintain records, software updates, and changes to the applications.
• Ensure all development conforms to standard system development life cycle plan in line with agile methodologies and principles.
• Drive continuous improvements
• Understand and maintain existing windows/web applications.
• Provide 3rd level support for existing applications.
• Application documentation  
• Check-in code into source control
• Deploy programs and evaluate user feedback
• Comply with project plans and industry standards
• Ensure software is updated with latest features
• Design User interfaces that improve user experience for both existing and new applications.
• Participate in requirements review sessions
• Engage external Developers during integration.

Required Skills and Competencies

• A good degree in Computer Science, Electrical/Electronic Engineering, or Computer Engineering with a least 2 years cognate experience in system development.
• Good understanding of Object Oriented Programming
• Good knowledge of development frameworks and application architecture. Agile background is an added advantage.
• Good understanding of programming languages (C#)
• Knowledgeable in Systems Network
• Have strong knowledge of relational database (SQL& Oracle e.t.c)
• Good Understanding of User Interfce frameworks (css, node, javascripts or javascript framework such as angular JS, Xamarin)

General Skills

• Initiative/ Entrepreneurship/ taking ownership
• Analytical Skills/ Problem solving
• Interpersonal Skills
• Oral & Written communication