Resume Example

Infrastructure Engineer Resume Examples

Use these ATS-friendly resume examples and templates to showcase your availability, cost, and scale results as an Infrastructure Engineer.
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A strong infrastructure engineer resume should show the estate you run and how available, efficient, and automated it became under you. Highlight servers, clusters, or GPUs managed, availability figures, cost reductions, provisioning and incident improvements, migrations completed without data loss, and the automation and monitoring you built. Name your certifications and platforms, because cloud, hypervisor, and container credentials and infrastructure tooling are filtered on. State your specialism plainly, since a hybrid infrastructure engineer, an AI infrastructure engineer running GPU clusters, an infrastructure analyst turning monitoring data into action, and a virtualization engineer owning the hypervisor layer are hired on different evidence. Use the examples below to see how to turn infrastructure work into clear, results-focused resume achievements.

Infrastructure Engineer Resume Example

Meet Anton Sobczak, a fictional senior infrastructure engineer running a hybrid estate of 3,200 servers for a financial services company. This example shows the core role measured on availability, cloud spend, and infrastructure as code adoption.

Anton Sobczak

(312) 555-0119 ◇ Chicago, IL

anton.sobczak@example.com ◇ linkedin.com/in/anton-sobczak ◇ antonsobczak.com

Objective

Infrastructure engineer with 8 years running hybrid infrastructure for a financial services company with 2 data centers, 3 cloud regions, and 3,200 servers supporting 6,000 users. Raised infrastructure availability from 99.8% to 99.99%, cut cloud spend 31% through rightsizing and reserved capacity, and moved 80% of infrastructure changes to code with 0 configuration drift incidents in 2 years. Builds infrastructure that is defined in code, monitored before it fails, and cheap enough that nobody asks to turn it off.

Education
B.S. in Information Technology, Wolf Point Line University 2014 – 2018

Coursework in Systems Administration, Networking, Cloud Computing, and Information Security.

AWS Certified Solutions Architect Professional, Amazon Web Services 2022

Also holds Red Hat Certified Engineer, HashiCorp Terraform Associate, and Certified Kubernetes Administrator certifications.

Skills
Infrastructure Engineering
Hybrid cloud and data center infrastructure, infrastructure as code, Linux and Windows server engineering, virtualisation, storage and backup, network and load balancing
Reliability and Operations
Monitoring and alerting, capacity planning, patching and lifecycle management, disaster recovery, incident response and on-call, change management in a regulated environment
Automation and Cost
Configuration management, CI pipelines for infrastructure, cloud cost optimisation, self-service provisioning, documentation and runbooks, security hardening
Tools & Platforms
AWS, VMware vSphere, Terraform, Ansible, Kubernetes, Prometheus and Grafana, Red Hat Enterprise Linux, ServiceNow
Experience
Senior Infrastructure Engineer 04/2022 – Present
Wolf Point Crown Financial Services Chicago, IL
  • Engineer hybrid infrastructure across 2 data centers, 3 cloud regions, and 3,200 servers for a financial services company with 6,000 users, on a team of 9.
  • Raised infrastructure availability from 99.8% to 99.99% through monitoring redesign, automated failover for 40 critical services, and a patching pipeline.
  • Cut cloud spend 31%, about $1.4M a year, through rightsizing 900 instances, reserved capacity, and scheduled shutdown of 300 non-production servers.
Infrastructure Engineer 07/2018 – 03/2022
Lakefront Line Insurance Chicago, IL
  • Managed 1,400 virtual servers across 2 data centers for an insurer with 2,500 users, with a 99.9% availability record.
  • Moved 80% of infrastructure changes to code with Terraform and Ansible, cutting server provisioning from 5 days to 2 hours.
  • Led the migration of 400 servers to a public cloud region on schedule with 0 data loss and a 22% infrastructure cost reduction.
Systems Administrator Intern 05/2017 – 08/2017
Lakefront Line Insurance Chicago, IL
  • Automated the patching of 200 servers with a scripted pipeline during a 12-week internship, cutting patch windows from 8 hours to 2.
  • Built the server inventory database that replaced 4 spreadsheets across 1,400 servers.
  • Received a full-time offer at the end of the 12-week internship based on the patching pipeline.
Projects

Availability Programme. Rebuilt monitoring across 3,200 servers with service-level alerts instead of host-level noise, cutting alert volume 85%, then built automated failover for 40 critical services and a weekly patching pipeline with canary groups, which raised availability from 99.8% to 99.99% and cut unplanned outages from 18 a year to 2.

Cloud Cost Optimisation. Analysed 12 months of cloud usage to rightsize 900 instances, purchased reserved capacity for a steady-state baseline, and scheduled 300 non-production servers to run only in business hours, which cut cloud spend 31% and funded the monitoring redesign.

Infrastructure as Code Adoption. Moved 80% of infrastructure changes at a previous employer to Terraform and Ansible with a review pipeline and a drift detection job, which cut provisioning from 5 days to 2 hours, produced 0 configuration drift incidents in 2 years, and gave auditors a change history for every server.

Extra-Curricular Activities
  • Member of a city cloud and infrastructure meetup of about 400, presenting about once a year.
  • Contributor to 2 open source infrastructure tools with about 20 merged pull requests.
  • Volunteer infrastructure administrator for a nonprofit with 3 sites and 150 users.
Leadership
  • Technical lead for an infrastructure team of 9 and owner of the infrastructure standards.
  • Trained 6 engineers on infrastructure as code and the review pipeline.
  • Represent infrastructure in the weekly change advisory board reviewing about 40 changes a week.
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AI Infrastructure Engineer Resume Example

Meet Wenjie Luo, a senior AI infrastructure engineer running 2,400 GPUs across 3 clusters for an AI product company. This example shows the GPU specialism: cluster utilisation, inference cost per token, and a 1,024-GPU cluster brought to full use.

Wenjie Luo

(415) 555-0195 ◇ San Francisco, CA

wenjie.luo@example.com ◇ linkedin.com/in/wenjie-luo ◇ wenjieluo.com

Objective

AI infrastructure engineer with 7 years in infrastructure and 4 in machine learning platforms, running GPU training and inference infrastructure for an AI product company with 2,400 GPUs across 3 clusters and 60 researchers. Raised GPU cluster utilisation from 48% to 81%, cut the cost of serving the flagship model 44% through inference optimisation, and delivered a 1,024-GPU training cluster that reached full utilisation within 3 weeks of delivery. Runs the hardware that the models depend on, and measures it in utilisation, throughput, and dollars per token.

Education
M.S. in Computer Science, Golden Gate Line University 2017 – 2019

Coursework in Distributed Systems, High-Performance Computing, Machine Learning Systems, and Operating Systems.

B.S. in Computer Engineering, Golden Gate Line University 2013 – 2017

Certified Kubernetes Administrator since 2020; NVIDIA accelerated computing certifications earned in 2023.

Skills
AI Infrastructure
GPU cluster design and operations, distributed training infrastructure, inference serving at scale, high-speed interconnects and storage for training, scheduling and multi-tenancy, model deployment pipelines
Platform Engineering
Kubernetes for GPU workloads, infrastructure as code, observability for training jobs, capacity planning and procurement input, cost per token and per training hour analysis, reliability engineering
Systems
Linux kernel and driver tuning, networking for RDMA, parallel file systems, container runtimes, CUDA-level performance profiling, hardware failure diagnosis
Tools & Platforms
Kubernetes, Slurm, NVIDIA GPUs and NCCL, PyTorch, vLLM, Terraform, Prometheus and Grafana, Python and Go
Experience
Senior AI Infrastructure Engineer 02/2023 – Present
Golden Gate Crown AI San Francisco, CA
  • Run GPU training and inference infrastructure of 2,400 GPUs across 3 clusters for an AI product company with 60 researchers and 15M end users, on a team of 7.
  • Raised GPU cluster utilisation from 48% to 81% through a scheduling redesign, job preemption policies, and a checkpointing standard that cut wasted compute from failures 70%.
  • Cut the cost of serving the flagship model 44% through batching, quantisation, and an autoscaling inference platform, saving about $3.1M a year.
Machine Learning Platform Engineer 08/2021 – 01/2023
Presidio Crown Technologies San Francisco, CA
  • Built the training platform for 200 data scientists on a 400-GPU cluster, cutting job queue wait time from 6 hours to 40 minutes.
  • Delivered a model serving platform handling 30,000 requests a second with a p99 latency under 80 milliseconds.
  • Diagnosed and resolved a recurring interconnect fault that had cut distributed training throughput 30% on 1 of 4 racks.
Infrastructure Engineer 07/2019 – 07/2021
Presidio Crown Technologies San Francisco, CA
  • Ran Kubernetes clusters of 1,200 nodes for a technology company with 99.95% availability across 2 years.
  • Migrated 300 services to infrastructure as code with a 60% cut in provisioning time.
  • Built the first GPU node pool of 64 GPUs that became the basis for the training platform.
Projects

1,024-GPU Training Cluster. Led the infrastructure build of a 1,024-GPU training cluster from rack design through burn-in, including interconnect topology, a parallel file system delivering 2 TB per second, and a 3-day acceptance test that found and replaced 11 faulty GPUs, which reached full utilisation within 3 weeks of delivery and trained the flagship model 2.8 times faster than the previous cluster.

Utilisation Programme. Rebuilt cluster scheduling with gang scheduling, priority tiers, preemption with automatic checkpoint and resume, and a weekly utilisation report by team, which raised utilisation from 48% to 81% and cut compute wasted by job failures 70%, equivalent to adding 600 GPUs.

Inference Cost Reduction. Built an autoscaling inference platform with continuous batching, 8-bit quantisation validated against quality benchmarks, and a routing layer across 3 clusters, which cut cost per million tokens 44% and held p99 latency under target through a 4 times growth in traffic.

Extra-Curricular Activities
  • Speak at machine learning systems conferences about twice a year on GPU cluster operations.
  • Contributor to an open source inference serving project with about 40 merged pull requests.
  • Mentor 3 engineers a year moving from infrastructure into AI infrastructure through an industry community.
Leadership
  • Technical lead for an AI infrastructure team of 7 and owner of the cluster roadmap.
  • Present utilisation, cost, and capacity plans to the head of research and the chief technology officer monthly.
  • Trained 60 researchers on the scheduling and checkpointing standards through 6 workshops.
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Infrastructure Analyst Resume Example

Meet Imogen Grantham, an infrastructure analyst monitoring 1,800 servers and 60 sites for a retailer. This example shows the analyst role measured on incidents cut through trend analysis, a health dashboard the team runs on, and licences and capacity reclaimed.

Imogen Grantham

(214) 555-0113 ◇ Dallas, TX

imogen.grantham@example.com ◇ linkedin.com/in/imogen-grantham ◇ imogengrantham.com

Objective

Infrastructure analyst with 5 years in infrastructure operations, monitoring and analysing a hybrid estate of 1,800 servers, 60 network sites, and 2 cloud platforms for a retail company with 12,000 users. Cut monthly infrastructure incidents 42% through capacity and trend analysis, built the infrastructure health dashboard used by 30 engineers and 4 managers, and identified $620,000 in unused licences and idle capacity in 2 years. Reads the infrastructure data before the outage rather than after it, and turns it into a work order someone can act on.

Education
B.S. in Information Systems, Trinity River Line University 2017 – 2021

Coursework in Systems Administration, Networking, Data Analysis, and IT Service Management.

ITIL 4 Foundation and CompTIA Server+, Axelos and CompTIA 2022

Also holds AWS Cloud Practitioner and Microsoft Azure Administrator Associate certifications earned in 2023.

Skills
Infrastructure Analysis
Capacity and performance analysis, incident and problem trend analysis, monitoring data interpretation, asset and licence analysis, availability reporting, root cause investigation support
Infrastructure Operations
Windows and Linux server basics, virtualisation, cloud resource administration, network monitoring, backup verification, patch compliance tracking, change coordination
Reporting and Tools
Dashboard building, SQL and log querying, scripting for data collection, service management reporting, documentation, presenting findings to engineers and managers
Tools & Platforms
SolarWinds, Splunk, ServiceNow, VMware vSphere, Azure and AWS consoles, PowerShell and Python, Power BI, Excel
Experience
Infrastructure Analyst 06/2023 – Present
Trinity River Crown Retail Dallas, TX
  • Monitor and analyse a hybrid estate of 1,800 servers, 60 network sites, and 2 cloud platforms for a retailer with 12,000 users and 300 stores.
  • Cut monthly infrastructure incidents 42% by trending 18 months of incidents to 9 recurring causes and raising problem records that engineering closed.
  • Identified $620,000 in unused software licences and idle cloud capacity across 2 years through quarterly asset and utilisation reviews.
Junior Infrastructure Analyst 07/2021 – 05/2023
Elm Fork Crown Logistics Dallas, TX
  • Produced weekly capacity and availability reports for 900 servers and 20 sites for an infrastructure team of 15.
  • Built a storage growth forecast that predicted a capacity shortfall 5 months ahead and supported a $300,000 expansion approved before any outage.
  • Raised patch compliance from 78% to 97% across 900 servers by building a compliance tracker and a weekly exception review.
IT Operations Intern 05/2020 – 08/2020
Elm Fork Crown Logistics Dallas, TX
  • Audited 900 server records against the monitoring system and corrected 140 discrepancies during a 12-week internship.
  • Built a script that collected disk utilisation from 900 servers into a daily report, replacing a manual check.
  • Received a full-time offer at the end of the 12-week internship based on the utilisation script.
Projects

Incident Trend Analysis. Categorised 18 months of infrastructure incidents across 2,100 tickets, found 9 recurring causes including a storage controller firmware issue and a certificate expiry pattern, and raised problem records with evidence for each, which engineering closed and which cut monthly incidents 42%.

Infrastructure Health Dashboard. Built a dashboard combining monitoring, ticketing, and cloud data into availability, capacity, patch compliance, and cost views for 1,800 servers and 60 sites, refreshed hourly, which replaced 5 weekly reports and is used by 30 engineers and 4 managers in the daily operations review.

Licence and Capacity Review. Built a quarterly review matching installed software against licence entitlements and cloud resources against utilisation, which found 1,100 unused licences and 200 idle cloud resources worth $620,000 over 2 years, all reclaimed with engineering.

Extra-Curricular Activities
  • Member of a regional IT service management chapter, attending about 6 events a year.
  • Volunteer technology helper for a community library, running a monthly device clinic for about 15 people.
  • Play in a recreational volleyball league across a 12-week season.
Leadership
  • Run the daily infrastructure operations review for a team of 30 using the health dashboard.
  • Trained 2 junior analysts on trend analysis and the reporting standards.
  • Own the quarterly capacity and licence review presented to the infrastructure director.
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Virtualization Engineer Resume Example

Meet Ramon Iglesias, a senior virtualization engineer owning 4,200 virtual machines for a health system. This example shows the hypervisor specialism: host consolidation, a clinical virtual desktop platform, and migrations with 0 data loss.

Ramon Iglesias

(813) 555-0179 ◇ Tampa, FL

ramon.iglesias@example.com ◇ linkedin.com/in/ramon-iglesias ◇ ramoniglesias.com

Objective

Virtualization engineer with 10 years running virtual infrastructure, currently owning a virtual estate of 4,200 virtual machines across 3 data centers and 180 hosts for a healthcare system with 9,000 users. Consolidated 320 physical hosts to 180, cut virtual infrastructure cost 35%, and delivered a virtual desktop platform for 3,500 clinical users with a 99.98% availability record. Runs the layer that every application sits on, and keeps it invisible by keeping it reliable.

Education
B.S. in Computer Information Systems, Hillsborough Line University 2012 – 2016

Coursework in Systems Administration, Virtualisation, Storage Systems, and Networking.

VMware Certified Professional, Data Center Virtualization, VMware 2018

Also holds VMware Certified Advanced Professional, Nutanix Certified Professional, and Microsoft Azure Administrator Associate certifications.

Skills
Virtualization Engineering
Hypervisor design and operations, cluster and resource pool design, host consolidation and rightsizing, virtual desktop infrastructure, high availability and disaster recovery, hypervisor migration
Storage, Network, and Cloud
Hyperconverged infrastructure, storage area networks, virtual networking and micro-segmentation, backup and replication, hybrid cloud extension, capacity planning
Operations
Automation with scripting and infrastructure as code, monitoring and performance tuning, patching and lifecycle management, change management, regulated environment controls, vendor management
Tools & Platforms
VMware vSphere and vSAN, VMware Horizon, Nutanix AHV, Veeam, PowerCLI and PowerShell, Terraform, Azure VMware Solution, ServiceNow
Experience
Senior Virtualization Engineer 03/2021 – Present
Hillsborough Crown Health System Tampa, FL
  • Own a virtual estate of 4,200 virtual machines across 3 data centers and 180 hosts for a health system with 6 hospitals and 9,000 users.
  • Consolidated 320 physical hosts to 180 through a hyperconverged refresh and rightsizing, cutting virtual infrastructure cost 35% and data center power 28%.
  • Delivered a virtual desktop platform for 3,500 clinical users with a 99.98% availability record and a 12-second average login time.
Virtualization Engineer 06/2016 – 02/2021
Bayshore Crown Technology Services Tampa, FL
  • Managed 2,000 virtual machines across 90 hosts for a managed services provider serving 40 clients.
  • Migrated 1,200 virtual machines between hypervisor platforms across 8 months with 0 data loss and 0 unplanned downtime.
  • Built the disaster recovery replication for 40 clients that met a 4-hour recovery objective in 12 of 12 annual tests.
Systems Administrator Intern 05/2015 – 08/2015
Bayshore Crown Technology Services Tampa, FL
  • Built and configured 60 virtual machines from templates during a 12-week internship.
  • Wrote a PowerCLI script that reported snapshot age across 2,000 virtual machines and found 300 snapshots over 30 days old.
  • Received a full-time offer at the end of the 12-week internship based on the snapshot script.
Projects

Hyperconverged Consolidation. Designed and delivered a refresh from 320 physical hosts on 3 storage arrays to 180 hyperconverged hosts across 3 data centers, with a rightsizing analysis of 4,200 virtual machines and a 9-month migration in 40 waves, which cut cost 35%, power 28%, and average storage latency from 12 milliseconds to 2.

Clinical Virtual Desktop Platform. Built a virtual desktop platform for 3,500 clinical users with tap-and-go access across 6 hospitals, profile management, and a GPU pool for imaging users, tested with 200 pilot users before rollout, which reached 99.98% availability and cut clinician login time from 90 seconds to 12.

Hypervisor Migration. Migrated 1,200 virtual machines at a previous employer to a new hypervisor platform across 40 clients in 8 months, with an automated conversion pipeline, a validation checklist per machine, and a rollback path, which delivered 0 data loss and 0 unplanned downtime and cut licence cost $400,000 a year.

Extra-Curricular Activities
  • Leader of a regional virtualisation user group of about 250 members, running 4 meetings a year.
  • Speak at a virtualisation industry conference about once a year on healthcare virtual desktops.
  • Volunteer infrastructure advisor to a free clinic network with 5 sites.
Leadership
  • Technical lead for a virtualization team of 5 and owner of the virtual infrastructure standards and roadmap.
  • Trained 8 engineers on the hyperconverged platform and the virtual desktop operations runbooks.
  • Represent virtualization in the change advisory board and the annual disaster recovery exercise for 6 hospitals.
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