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Associate Data Center Capacity Engineer Jobs in New York

The New York Times

Senior Cloud Capacity Engineer

New York, NY · On-site

$114K - $157K/yr

You will sit at the center of how The New York Times manages cloud capacity and growth. Your work ... Translate growth (traffic, data, features, video) into infrastructure capacity plans that balance ...

The New York Times

Senior Capacity Engineer

Manhattan, NY · On-site

$115K - $158K/yr

... traffic, data, features, video) into infrastructure capacity plans that balance performance ... Required : • 8-10+ years in capacity engineering, cloud cost management, SRE, or platform ...

Flux

Mechanical Engineer (Data Center)

New York, NY · On-site

$96.15 - $120.19/hr

Mechanical Engineer (Data Center Infrastructure) This is a full-time, full-time (40 hours/week), on ... Experience with CFD modeling and thermal/capacity planning * Strong ability to manage external ...

Meta

Data Center Lease Portfolio Manager

New York, NY

$197K/yr

Develop and maintain portfolio-level capacity models that align leased data center inventory with ... Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ...

Merican

Associate Data Engineer

Parsippany, NJ · On-site

$115K - $138K/yr

Associate Data Engineer Location: Parsippany, NJ Duration: 6 Months Job Type: Temporary Assignment Work Type:Hybrid * We are seeking a hands-on Associate Data Engineer with strong programming skills ...

CoreWeave

Sr. Data Scientist - Capacity Data

New York, NY · On-site

$143K - $210K/yr

This is a heavy data engineering and software engineering-focused role where you will build the ... Partner with Data Center Operations, Supply Chain, Product, and Finance to ensure technical ...

Jane Street

Data Center Engineer

New York, NY · On-site

About the Position We are looking for an experienced Senior Data Center Engineer who can help our team keep Jane Street's data safe and accessible around the clock, which will involve a mix of hands ...

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Associate Data Center Capacity Engineer information

What are Associate Data Center Capacity Engineers?

Associate Data Center Capacity Engineers are entry-level professionals who assist in managing and planning the capacity needs of data centers. Their responsibilities include monitoring resource usage, forecasting future requirements, and helping to optimize space, power, and cooling to ensure efficient operations. They often work under the guidance of senior engineers to analyze trends, prepare reports, and support infrastructure upgrades or expansions. This role is critical in ensuring that data centers can meet growing demands without overextending resources.

What are the key skills and qualifications needed to thrive as an Associate Data Center Capacity Engineer, and why are they important?

To thrive as an Associate Data Center Capacity Engineer, you need a solid understanding of data center infrastructure, power and cooling systems, and capacity planning, often supported by a degree in engineering or a related field. Familiarity with data center management tools, monitoring systems, and industry certifications such as Uptime Institute or CDCP is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with cross-functional teams and solve complex problems. These abilities are critical for ensuring reliable data center operations, optimizing resource utilization, and supporting organizational growth.

What is the difference between Associate Data Center Capacity Engineer vs Data Center Technician?

AspectAssociate Data Center Capacity EngineerData Center Technician
Primary FocusCapacity planning, infrastructure analysis, optimizing data center resourcesHardware installation, maintenance, troubleshooting
Required SkillsData analysis, understanding of data center infrastructure, basic networkingHardware skills, troubleshooting, physical installation
Work EnvironmentOffice and data center environment, collaborative planningData center floors, hardware racks, physical setup
CertificationsData center or networking certifications (e.g., CCNA, CompTIA Network+)Hardware certifications (e.g., CompTIA A+)

The Associate Data Center Capacity Engineer primarily focuses on capacity planning and infrastructure optimization, requiring analytical skills and certifications in networking. In contrast, Data Center Technicians handle hardware installation and maintenance, working directly within the data center environment. Both roles are essential but differ in scope and responsibilities.

What are the typical daily responsibilities of an Associate Data Center Capacity Engineer?

As an Associate Data Center Capacity Engineer, your daily tasks will often include monitoring data center resources, analyzing current and projected capacity needs, and assisting with infrastructure planning. You'll collaborate closely with senior engineers, operations teams, and facility managers to ensure that power, cooling, and space requirements are met for both current and future workloads. Additionally, you may contribute to reporting, document capacity trends, and help identify areas for optimization to maintain efficiency and reliability within the data center.
What are the most commonly searched types of Data Center Capacity Engineer jobs in New York? The most popular types of Data Center Capacity Engineer jobs in New York are:
What cities in New York are hiring for Associate Data Center Capacity Engineer jobs? Cities in New York with the most Associate Data Center Capacity Engineer job openings:
Associate Data Center Capacity Engineer jobs near you

Performance & Capacity Engineering - Capacity Planning Optimization

Meta

New York, NY

$184K/yr

Full-time

Re-posted 24 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

135th of 241 rated software companies

Job description

Meta is seeking a Performance & Capacity Engineer to join the Capacity Planning and Optimization Engineering (CPOE) team to focus on site-wide performance and capacity optimization at the intersection of all Meta products and services, and all physical infrastructure (Servers, Data Centers, Network). This role will focus on creating and optimizing capacity plans at various altitudes to balance capacity, power, and cost, in an environment of continual product introduction, directly managing billions of investment annually. We do this primarily by building software and mathematical optimization models, not manual planning. This role will be uniquely positioned to optimize these capacity plans and scalably manage exceptions at the most strategic levels with company level impact. This is one of the most cross functional roles at the company, with the opportunity to work with a variety of engineering and business teams to power the rapid growth of Meta’s products. This role will help to ensure optimal operation of our infrastructure from both a cost and technology perspective, with millions of servers, Gigawatts of data center capacity, and cutting edge technology including AI, Metaverse, etc. Help build one of the largest fleets, powering one of the largest internet services in the world!
Performance & Capacity Engineering - Capacity Planning Optimization Responsibilities:
  • Own infrastructure capacity planning for Meta: including Servers, Data Centers, Network
  • Design, implement and launch software systems to improve capacity planning efficiency and quality, partnering with software engineers
  • Contribute to end to end capacity planning processes, methodologies, and data to deliver executable and optimized plans
  • Manage and resolve critical escalations and exceptions in all areas of the capacity planning
  • Build linear programming models to perform simulation and optimization studies of demand and supply projections, scenario planning, and feasibility analysis while balancing various constraints
  • Work cross-functionally to define problem statements, collect data, build analytical models and make recommendations to drive change and optimization at the most strategic levels
  • Partner across Infra: such as platform teams, operations, networking planning, data center planning as well as Product and Finance teams to find the most optimal ways to scale our Infrastructure
  • Effectively navigate complex tradeoffs and relationships to balance solving for team, cross-functional partner / stakeholders, and Meta company priorities. Balance the need to “keep things running” with longer-term, high-impact projects

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 8+ years of experience in performance or software engineering and/or optimization pertinent data science or equivalent practical experience
  • 8+ years of experience in designing and implementing models and optimization algorithms
  • 4+ years of experience in coding/scripting languages such as Python, R, Java, C, C++, PHP
  • 4+ years of experience with LP solvers such as Xpress or Gurobi
  • Experience working with distributed systems at scale
  • Experience in infrastructure operations and technical infrastructure knowledge
  • Experience working with cross-functional teams
  • Experience optimizing complex systems, working with large datasets, and driving business impact

Preferred Qualifications:
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$184,000/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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