Senior Platform / Solution Architect
AI summary
Tezza Business Solutions Limited, a multinational Software Quality Assurance and Testing firm with a Lagos office, is hiring a Senior Platform / Solution Architect on a full-time basis. The role focuses on capacity planning, performance engineering, and cloud infrastructure architecture across microservices, Kubernetes/OpenShift, and hybrid environments. Candidates will translate business demand into quantifiable infrastructure requirements, develop capacity forecasts, and ensure scalability, resilience, and cost efficiency.
- Full-time role based in Lagos, Nigeria
- Focus on capacity planning, performance engineering, and cloud infrastructure architecture
- Work with microservices, Kubernetes/OpenShift, and hybrid cloud/on-premises environments
- Requires translating business demand into quantifiable infrastructure requirements
- Involves developing short-, medium-, and long-term capacity forecasts and roadmaps
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AI salary guide
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Can you qualify for this role?
- UnclearRelated work experienceThe text mentions experience, but the exact level should be confirmed at source.
- PreferredPractical evidence in part_time, technology, Solutions ArchitectThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in Not specifiedThe vacancy is associated with this location.
- UnclearComfort with the Full-time contract termsConfirm hours, duration, probation and benefits at the original source.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
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Application tips for this job
- Place your strongest Senior Platform / Solution Architect evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to Tezza Business Solutions Limited and the role in Not specified.
- Add concrete examples related to part_time, technology, Solutions Architect, ideally with measurable outcomes or clear responsibilities.
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Interview preparation
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- Are you available to work in Not specified under the listed contract or schedule?
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Original source description
Senior Platform / Solution Architect at Tezza Business Solutions Limited ⏲ Aug 14, 2026, 9:05 AM ⋕ View all Data Science & Analytics jobs Tezza Business Solutions Limited is a leading Software Quality Assurance and Testing multinational with a regional office in Lagos, Nigeria. We are a Software Quality Assurance and Testing Services provider. Our primary goal is to be the "go to" Quality Assurance & Software Testing company in East and West Africa while developing offshore resources to fill test automation positions (and other hard to find software testing capabilities) in the North America and European markets. We are recruiting to fill the position below: Job Title: Senior Platform / Solution Architect Location : Lagos Employment Type: Full-time Role Purpose 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. 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. Core Responsibilities: 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. Translate business growth, transaction volumes and traffic forecasts into infrastructure capacity requirements. Develop quantitative workload models covering normal, peak, burst and exceptional traffic conditions. 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. Lead capacity planning and infrastructure dimensioning for applications, platforms and microservices-based services. Microservices Capacity Planning & Dimensioning: Determine minimum, normal and maximum pod/replica requirements: based on workload and service-level objectives. Establish repeatable sizing methodologies for new applications and services. Determine node density, resource utilisation and cluster capacity requirements. Assess horizontal and vertical scaling requirements: and define appropriate scaling policies. Account for service-to-service communication, platform overhead and infrastructure reserve capacity. Assess resource consumption and performance characteristics of individual microservices. Validate sizing assumptions through performance and capacity testing. Define CPU and memory requests and limits for containers. 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 pod counts, replica requirements, scaling thresholds and scaling response times. Factor in high availability, N+1/N+2 resilience, disaster recovery, growth headroom and operational reserve. Assess storage capacity, IOPS, throughput and growth. Assess network bandwidth, latency and packet rates. Assess database TPS, connections, CPU, memory, IOPS and throughput. Determine node CPU, node memory and allocatable cluster capacity. Assess CPU utilisation, CPU consumption per transaction, memory utilisation, memory peaks and application heap requirements. Performance Engineering: Identify application, platform, database, storage and network bottlenecks. Use performance test results to validate CPU, memory, pod, node and cluster sizing. Work with engineering teams to optimise resource consumption and application performance. Define and oversee load, stress, endurance, spike, scalability and capacity testing. Lead performance engineering and capacity validation for critical applications and platforms. Establish performance baselines and capacity thresholds. Analyse throughput, response time, latency, concurrency and resource utilisation. Observability & Data-Driven Capacity Planning: Use production telemetry and historical performance data to develop evidence-based capacity models. Use trend analysis and forecasting to identify future infrastructure requirements: before capacity constraints occur. Establish capacity thresholds, early-warning indicators and capacity risk dashboards. 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. Architecture Governance & Standards: Ensure new services meet defined scalability, availability, performance and capacity requirements: before production deployment. Maintain architecture documentation, capacity assumptions, sizing models and decision records. Define architecture principles, sizing standards, resource profiles and capacity governance processes. Establish governance for capacity reviews following major releases, traffic changes or architectural changes. Establish standard capacity planning and dimensioning methodologies across the organisation. Review and approve application capacity models and infrastructure sizing proposals. Key Deliverables Cloud Infrastructure Sizing Database Capacity Model Performance Test Strategy and Capacity Validation Report Storage & IOPS Capacity Model On-Premises Infrastructure Sizing Three- to Five-Year Capacity Forecast Pod/Replica Sizing Model Cloud Cost/TCO Model Infrastructure Bill of Materials (BoM) Kubernetes/OpenShift Cluster Sizing Microservices Dimensioning Model Capacity Headroom and Risk Assessment Capacity and Performance Dashboard CPU & Memory Sizing Model Network Capacity Model Application Capacity Model Peak/Event Capacity Plan Experience: & Professional Profile Demonstrable experience: in capacity planning, workload modelling, performance engineering and infrastructure forecasting. Strong experience: with Kubernetes/OpenShift and containerised application environments. Proven experience: designing and dimensioning large-scale distributed systems and microservices platforms. Experience: in telecoms, financial services, digital platforms or other high-volume technology environments is advantageous. Typically 10–15+ years of experience: across solution architecture, platform architecture, cloud infrastructure, capacity planning, performance engineering or related disciplines. Hands-on experience: with cloud and on-premises infrastructure architecture. Experience: with large-scale, high-availability, transaction-intensive environments is highly desirable. How to Apply Interested and qualified candidates should: Click here to apply online View all Jobs in Nigeria Lagos State