Capacity And Performance Manager

Capacity and Performance ManagerAtos is the Atos Group brand dedicated to AI-powered, secure, end-to-end digital services. Atos designs, develops, and operates critical digital environments that drive performance, resilience and sovereignty, helping public and private organizations worldwide retain control over their data and infrastructures, while meeting regulatory requirements.
With more than 52,000 employees serving over 4,500 clients across 54 countries, Atos helps modernize core IT systems, accelerate cloud and data transformation, strengthen cybersecurity, and deliver secure digital workplace environments to support its clients, its employees and society. Atos also provides consulting and advisory services through its Atos Amplify brand.A trusted partner in operating complex and mission-critical environments, Atos supports organizations across highly regulated and sovereign contexts.
Atos Group is a global leader in digital transformation with c. 54,000 employees and annual revenue of c. €7.2 billion, operating in 54 countries under two brands - Atos for services and Eviden for products and systems. European number one in cybersecurity and a leader in cloud, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is listed on Euronext Paris.
Position SummaryThe Capacity and Performance Manager ensures that mainframe capacity and performance meet current and future business needs while optimizing cost and resource utilization. This role analyzes capacity and performance data, trends, incidents, thresholds, and forecasts to proactively identify constraints and prevent system overload.
The role ensures that IT component capacity is sufficient to meet required service levels, optimizes utilization of existing resources, and provides recommendations to the GTD Capacity Coordinator and Capacity Director regarding capacity requirements, demand forecasts, performance improvements, and appropriate service levels.
Responsibilities
Perform capacity planning as needed, typically for specific hardware or software platforms.
Gather and analyze business demand, workload, utilization, and forecast data required to develop capacity plans.
Review capacity and performance reports, assess risks and opportunities, and recommend actions to the Capacity Director or GTD Capacity Coordinator.
Create and adapt capacity assessment criteria and alert thresholds.
Ensure that monitoring levels for resource capacity and system performance are adequate and that data recorded in capacity management databases are kept up to date and utilized by the capacity management process.
Determine the most appropriate forecasting methods and implement them.
Forecast trends in component usage based on available data.
Identify, interpret, and disseminate information used in the capacity decision-making process.
Participate in the development of capacity plans by evaluating forecasts and identifying capacity needs based on the scheduled timeline.
Monitor trends in component utilization and report capacity variances.
Produce technical and management reports at regular intervals detailing actual component utilization, trends, and forecasts.
Monitor the potential effects of software and middleware on hardware utilization, or vice versa, to determine performance management service levels.
Evaluate new hardware and software that could improve the efficiency of the capacity management process.
Verify that reliability, availability, and disaster recovery requirements are considered in capacity planning activities.
Reduce software costs (4RHA, MSU).
Maximize the use of existing resources (zIIP, WLM).
Obtain performance and capacity information to facilitate incident or problem resolution or to analyze the impact of changes.
Identify trends, variances, and ways to address them.
Develop a capacity plan that enables the achievement of capacity management process objectives.
Proactively generate a forecast report, based on past trends, to anticipate volume and upcoming peaks.
Experience
Degree or equivalent experience in Computer science, systems, or related field.
Languages:
English – Fluent;
French – Fluent (professional working proficiency)
5+ years in a z/OS mainframe environment
Experience in capacity planning, performance, or operations
Experience in mission-critical environments (public sector or large enterprises)
Key technical skills
SMF/RMF data analysis
Advanced concepts:CPU / MSU / R4HA
I/O, memory, paging
Tools:MXG / Excel / Power BI
OMEGAMON or equivalent tools
Analytical skills
Trend analysis and capacity forecasting
Rapid identification of capacity constraints
Strong ability to synthesize information for decision-making
Business acumen
Understanding of IBM software costs (MSU-based)
Ability to optimize cost vs. performance
Contribution to investment decisions (upgrades, optimization)
Leadership & Soft Skills
Takes ownership of capacity and performance outcomes, driving actions through completion to achieve service, performance, and cost objectives.
Anticipates capacity and performance risks, identifies root causes, and implements solutions before service or business operations are impacted.
Uses data and sound judgment to prioritize issues, evaluate trade-offs, and recommend timely, effective actions.
Builds alignment across technical and business teams to drive decisions, resolve issues, and deliver measurable improvements.
Preferred Experience
Formal mainframe training or relevant technical certifications.
Experience with z15 / z16
zIIP optimization / offloading
Advanced tools (zBNA, IntelliMagic, BMC AMI OPS)
Automation / scripting (REXX, Python)"
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