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DCIM Analyst - Infrastructure Operations

Cloudflare

DCIM Analyst - Infrastructure Operations

Cloudflare

Hybrid

·

Hybrid

·

Full-time

·

1mo ago

Benefits & Perks

Health benefits

Stock options

Flexible work

Parental leave

Healthcare

Equity

Parental Leave

Required Skills

SAP

SQL

Excel

About Us

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.

We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team. We hire the best people based on an evaluation of their potential and support them throughout their time at Cloudflare. Come join us!

Available Locations:

Atlanta (US), Austin (US), Denver (US), Seattle (US), Toronto (Canada), London (UK), Lisbon (Portugal).

About the Role:

We are seeking a DCIM Analyst to be the data scientist for the Physical Layer, responsible for the integrity, forecasting, and visualization of all infrastructure datasets—Space, Power, Cooling, Cabling/Ports, and Asset Inventory. This technical role is part of the Infrastructure Operations organization, which is responsible for building, scaling, and running one of the world's largest and most important cloud networks. Cloudflare’s global network spans more than 330 cities, and is a key strategic asset that supports all of our customers and products.

The DCIM Analyst is the architect of our physical intelligence. You own the complete analytical scope of the Nlyte platform—spanning Space, Power, Cooling, Connectivity, and Asset Lifecycle. You will move beyond simple monitoring to build an infrastructure health engine, serving as the mandatory "Validator" for all global changes. You will transform fragmented data into a unified capacity strategy, ensuring our edge network scales efficiently while safeguarding against resource exhaustion and physical risk.

We operate in a fast-paced environment where you will be expected to drive both project delivery and operational excellence through continuous improvement, standardization, and optimization. This isn't just about day to day operations; it's about building a scalable, performant, secure, and resilient infrastructure that plays a critical role in us building a better Internet.

Key Responsibilities:

  • Serve as the required approval step in the Change Management workflow. You must validate every proposed Move, Add, and Change (MAC) against real-time capacity constraints before the Administrator can issue a work order.

  • Enforce a "Zero-Overprovisioning" policy by blocking requests that breach redundancy thresholds for Space, Power, Cooling, or Network Port availability.

  • Develop forward-looking capacity models to forecast resource exhaustion. Run "What-If" scenarios to determine the optimal placement of new high-density hardware (e.g., AI/GPU clusters) to avoid creating hot spots or stranded capacity.

  • Advise the DCIM Manager and Capacity Team on when and where to purchase additional colocation space or power based on consumption trends.

  • Design and own the data ingestion strategy for the Nlyte Real-Time Monitoring module. Ensure continuous polling of thousands of sensors across IT devices and facility equipment (CRACs, UPS, PDUs).

  • Manage the normalization of raw telemetry data from diverse protocols into a clean, actionable Time-Series Database.

  • Analyze the integrity of the Asset Management database. Identify "ghost servers" (powered on but not in inventory) and track asset aging to predict decommissioning waves.

  • Reconcile data discrepancies between "Discovered" network data and "Managed" inventory data, flagging errors for the Administrator to fix.

  • Transform raw data into executive-level dashboards. Calculate and report on critical efficiency metrics, including Power Usage Effectiveness (PUE) and carbon impact.

  • Define and tune global alerting thresholds to ensure operations teams are alerted to genuine risks without suffering from alert fatigue.

Qualifications:

  • Expert DCIM Analytics: 4+ years of experience administering the analytics module of a major DCIM platform (Nlyte, Sunbird, or similar). Must demonstrate the ability to build custom reports, not just use default dashboards.

  • Multi-Constraint Modeling: Proven experience modeling capacity across four distinct constraints: Space (Rack Units/Footprint), Power (kW draw vs. Circuit limits),

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About Cloudflare

Cloudflare

A web performance and security company that provides online services to protect and accelerate websites online.

1,001-5,000

Employees

San Francisco

Headquarters

$25B

Valuation

Reviews

2.5

10 reviews

Work Life Balance

2.5

Compensation

3.2

Culture

2.1

Career

2.8

Management

1.8

35%

Recommend to a Friend

Pros

Great learning opportunities

Good benefits and pay

Talented colleagues and amazing people

Cons

Toxic culture

Poor leadership and management

Limited growth opportunities

Salary Ranges

33 data points

Junior/L3

L2

L3

L4

L5

L6

M3

M4

M5

M6

Mid/L4

Senior/L5

Junior/L3 · Security Operations Center Engineer

1 reports

$126,500

total / year

Base

$110,000

Stock

-

Bonus

-

$126,500

$126,500

Interview Experience

1 interviews

Difficulty

4.0

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 0%

Negative 100%

Interview Process

1

Application Review

2

Discovery Call

3

Role Play Call

4

Technical Phone Screen

5

Multiple Panel Interviews

6

System Design Interview

7

Behavioral Interview

8

Team Matching

9

Offer

Common Questions

Technical Knowledge

Coding/Algorithm

System Design

Behavioral/STAR

Culture Fit