Senior Infrastructure Systems Engineer

TD SYNNEX

. Focus primarily on capacity and demand planning across data centers and public cloud .

Posted 10/21/2026full-timeSan Jose • Costa RicaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in capacity and demand planning for data centers and public cloud environments, with a strong focus on translating customer demand into actionable forecasts and collaborating effectively across technical and business teams. Proficient in analyzing infrastructure needs, validating capacity assumptions, and facilitating FinOps discussions to optimize costs and performance.

Highest-signal resume keywords

Capacity PlanningDemand ForecastingInfrastructure EngineeringFinOps CollaborationData Analysis

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Capacity ModelingVirtualizationCompute PerformanceStorage CapacityNetwork ResilienceExcelSQLPythonObservability InterpretationWorkload Sizing

Soft Skills

Strong CommunicationCollaboration SkillsStakeholder EngagementAnalytical ThinkingProblem-Solving

Tools & Technologies

VMwareNutanixWindowsLinuxTerraformAnsibleGitCI/CDKubernetes

Certifications & Qualifications

FinOps Certification

Industry Keywords

Cloud Cost OptimizationCapacity ConstraintsOperational ConstraintsPerformance RequirementsProcurement Lead Times

Tech Stack

Tools & technologies

AnsibleCloudKubernetesLinuxPythonSQLTerraformVMware

About the role

Key responsibilities & impact

Focus primarily on capacity and demand planning across data centers and public cloud
Engage engineering, application, product, and business teams to translate future demand into capacity models, options, and timely decisions
Build trusted relationships and proactive demand intake with internal customers
Connect delivery plans, workload changes, and business growth to infrastructure needs
Develop headroom, runway, growth, and scenario models for data center and public cloud capacity
Document assumptions, uncertainty, dependencies, and changes in demand
Validate sizing against production evidence, peak demand, failover conditions, and performance requirements
Account for hardware lifecycle, procurement lead times, cloud quotas, regional availability, and provisioning constraints
Run a leadership-sponsored planning cadence and maintain clear analytical inputs
Escalate approved threshold crossings for review
Facilitate FinOps discussions regarding consumption, demand, capacity, and cost
Support consumption and spend forecast scenarios
Follow up with agreed action owners
Partner on rightsizing, reclamation, total cost of ownership, workload placement, and commitment analysis
Validate potential savings against resilience and performance needs
Provide evidence, facilitate planning cadence, and surface issues early

Requirements

What you’ll need

Five or more years of practical infrastructure engineering or operations experience
Strong communication and collaboration skills across technical and business teams in a global environment
Minimum of four hours of daily overlap with the US Eastern business day
Practical understanding of virtualization, compute, operating systems, storage capacity and performance, networks, and resilience
Experience with platforms such as VMware or Nutanix and Windows or Linux is relevant; specific vendors are not required
Ability to interpret observability and time-series data
Ability to assess public cloud capacity constraints
Ability to build demand forecasts using Excel, SQL, Python, or equivalent data analysis tools
Experience sizing production workloads and validating capacity assumptions against real telemetry, workload behavior, service objectives, and operational constraints
Experience translating cross-team demand into planning inputs and collaborating with globally distributed teams
Personal, practical infrastructure depth, including resources, bottlenecks, failure modes, and workload behavior
Ability to translate customer demand into defensible forecasts and scenarios
Ability to facilitate stakeholder conversations, challenge weak assumptions respectfully, and apply sound technical judgment to capacity and cost trade-offs
Ability to collaborate with FinOps engineers and service owners
Prior specialist FinOps experience or certification is preferred, not required
Experience supporting cloud cost optimization or commitment analysis is preferred, not required
Terraform, Ansible, Git, CI/CD, and Kubernetes experience can be useful, but none is mandatory

Benefits

Comp & perks

Elective benefits tailored to the employee's country
Formal leadership and professional development programs
On-demand courses
Seminars and events supporting financial, physical, and mental well-being
Global Life Empowerment Assistance Program
Inclusive education, peer-to-peer conversations, and equitable growth and development opportunities
Onboarding program with networking opportunities during the first 30 days
Internal, peer-led inclusive communities and activities
Business resource groups
Local volunteering events
Environmental and social initiatives