📍 Job Overview

Job Title: Datacenter Deployment Engineer
Company: Nscale
Location: London, City of (Remote)
Job Type: Hybrid
Category: Infrastructure & DevOps
Date Posted: 2025-08-01
Experience Level: Mid-Senior level (5-10 years)
Remote Status: Hybrid (Remote work available)

🚀 Role Summary

Nscale is seeking a Datacenter Deployment Engineer to deliver large-scale GPU infrastructure deployments and design complex rack layouts. This role involves hardware and software deployment, configuring network infrastructure, and adhering to structured cabling standards. The ideal candidate will have extensive datacenter engineering experience, advanced knowledge of structured and fiber cabling, and familiarity with GPU-based infrastructure.

📝 Enhancement Note: This role requires ~50% travel to European sites, so candidates should be prepared for frequent travel.

💻 Primary Responsibilities

🔧 Deliver large-scale datacenter deployments for cutting-edge GPU infrastructure, ensuring optimal performance and maintainability.
📐 Engineer complex rack layouts integrating high-performance compute, networking, and storage solutions.
🛠 Install and configure physical servers, racks, operating systems, virtualization platforms, and container orchestration systems.
📊 Configure critical network infrastructure, including initial firewall/router and switch setups, to support high-performance computing environments.
📜 Adhere to structured cabling and deployment standards, mapping out optimal cable pathways, lengths, and streamlining installation.
🛡 Collaborate with cross-functional teams to ensure deployments meet business requirements and align with Nscale's values.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Electrical Engineering, or a related field. Relevant experience may be considered in lieu of a degree.

Experience: 5-10 years of overall datacenter engineering experience, with a strong focus on large-scale deployments and GPU-based infrastructure.

Required Skills:

Advanced knowledge of structured and fiber cabling
Experience with large-scale datacenter deployments, particularly with GPU-based infrastructure
Strong working knowledge of network and server hardware
Experience working with BOMs to ensure compatibility and efficiency
Familiarity with CMDB tooling such as NetBox

Preferred Skills:

Working knowledge and experience of using Infiniband fabrics
Working knowledge of fat tree or rail-optimized designs for AI workloads
Ability to perform performance level diagnostics on AI fabric

📊 Web Portfolio & Project Requirements

As this role focuses on datacenter deployment and infrastructure, a traditional web portfolio is not required. However, candidates should be prepared to discuss their experience with large-scale deployments, GPU infrastructure, and network configuration in detail. Examples of successful deployments, problem-solving case studies, and any relevant certifications should be highlighted in the application.

💵 Compensation & Benefits

Salary Range: £60,000 - £80,000 per annum (Based on market research and role complexity)

Benefits:

Competitive salary and equity compensation
Comprehensive health, dental, and vision insurance
Generous vacation and sick leave policies
Flexible working hours and remote work options
A modern office space in London with hybrid working model planned for 2025

Working Hours: Full-time (40 hours per week), with flexibility for deployment windows and maintenance tasks.

📝 Enhancement Note: The salary range provided is an estimate based on market research and role complexity. Actual compensation will depend on the candidate's experience and qualifications.

🎯 Team & Company Context

Company Culture:

Industry: Cloud computing and AI infrastructure
Company Size: Medium (51-250 employees)
Founded: 2021
Team Structure: Flat hierarchy with a focus on ownership and accountability
Development Methodology: Agile with a strong emphasis on collaboration and continuous improvement

Company Website: Nscale

📝 Enhancement Note: Nscale values relentless innovation, ownership and accountability, openness and transparency, customer-centricity, sustainability, and full-speed collaboration. These core values guide the company's decision-making and drive its success in the competitive AI infrastructure market.

📈 Career & Growth Analysis

Datacenter Deployment Engineer Career Level: This role is at the mid-senior level, with a focus on delivering large-scale GPU infrastructure deployments and designing complex rack layouts. The ideal candidate will have extensive datacenter engineering experience and a strong background in GPU-based infrastructure.

Reporting Structure: This role reports directly to the Head of Infrastructure and collaborates closely with the Engineering, Product, and Operations teams.

Technical Impact: The Datacenter Deployment Engineer will have a significant impact on Nscale's GPU cloud infrastructure, ensuring optimal performance, scalability, and maintainability. Their work will directly support the company's mission to provide cost-effective, high-performance infrastructure for AI-focused companies.

Growth Opportunities:

🌱 Technical Skill Development: Expand expertise in GPU infrastructure, AI workloads, and high-performance computing environments.
🌟 Technical Leadership: Grow into a senior role, mentoring junior engineers and driving technical decisions within the Infrastructure team.
🌐 Global Impact: Contribute to Nscale's expansion across EMEA, working on large-scale deployments in multiple countries.

📝 Enhancement Note: Nscale's fast-paced, high-growth environment offers ample opportunities for career progression and skill development. The company encourages employees to take ownership of their roles and drive innovation in their respective areas.

🌐 Work Environment

Office Type: Modern, collaborative workspace with a focus on open communication and teamwork.

Office Location(s): London, United Kingdom (Remote work available)

Workspace Context:

💻 Workspace Setup: Multiple monitors, high-performance workstations, and specialized tools for datacenter deployment and management.
🤝 Collaboration: Cross-functional team interaction, regular stand-ups, and weekly team meetings to ensure alignment and progress.
🌐 Remote Work: Flexible remote work options, with an emphasis on results and productivity over presenteeism.

Work Schedule: Full-time (40 hours per week), with flexibility for deployment windows, maintenance tasks, and project deadlines.

📝 Enhancement Note: Nscale's hybrid work arrangement allows employees to balance remote work with in-office collaboration, fostering a productive and flexible work environment.

📄 Application & Technical Interview Process

Interview Process:

📝 Initial Screening: A brief phone or video call to discuss the candidate's experience, qualifications, and career goals.
📊 Technical Deep Dive: A comprehensive technical interview focusing on the candidate's experience with datacenter deployments, GPU infrastructure, and network configuration. Prepare examples of successful deployments, problem-solving case studies, and any relevant certifications.
🤝 Team Fit: A conversation with the Infrastructure team to assess the candidate's cultural fit and alignment with Nscale's values.
💼 Final Evaluation: A discussion with the Head of Infrastructure to review the candidate's qualifications, experience, and career aspirations.

Portfolio Review Tips:

📊 Highlight successful datacenter deployments and the challenges overcome during the process.
📈 Showcase problem-solving skills and the ability to optimize GPU infrastructure for performance and maintainability.
📝 Demonstrate familiarity with structured cabling standards and network infrastructure configuration.

Technical Challenge Preparation:

📊 Brush up on GPU infrastructure knowledge and stay up-to-date with the latest trends and best practices in high-performance computing.
📝 Review network configuration best practices and prepare for questions on firewall, router, and switch setup.
📐 Familiarize yourself with datacenter layout and design principles to ensure optimal performance and scalability.

ATS Keywords: (Organized by category)

Infrastructure & Deployment: Datacenter, Deployment, Infrastructure, GPU, Network, Server, Rack, Cabling, Fibre, Structured, BOM, CMDB, NetBox
Networking: Infiniband, Fabric, AI Workloads, Fat Tree, Rail-Optimized, Diagnostics, Performance
Datacenter Experience: Datacenter, Deployment, Design, Operations, Large-Scale, GPU-Based

📝 Enhancement Note: Tailor your application and interview preparation to highlight your experience with large-scale datacenter deployments, GPU infrastructure, and network configuration. Familiarize yourself with Nscale's values and be prepared to discuss how your experience aligns with the company's mission and culture.

🛠 Technology Stack & Web Infrastructure

Infrastructure & Deployment Tools:

🛠 Datacenter Infrastructure Management (DCIM) Tools: Familiarity with DCIM tools such as Nlyte, Data Center King, or Sunbird is preferred.
📊 Network Monitoring Tools: Experience with network monitoring tools such as Nagios, Zabbix, or Prometheus is beneficial.
📐 Datacenter Design Tools: Familiarity with datacenter design tools such as AutoCAD, Revit, or Navisworks is preferred.

Networking & Server Technologies:

📡 Networking: Advanced knowledge of network protocols, topologies, and cabling standards.
🛡 Server Hardware: Experience with various server hardware vendors, such as Dell, HP, or Super Micro.
📐 GPU Infrastructure: Extensive experience with GPU-based infrastructure and AI workloads.

📝 Enhancement Note: Nscale's technology stack is focused on high-performance computing and AI workloads. Familiarize yourself with the latest trends and best practices in GPU infrastructure, networking, and datacenter design to excel in this role.

👥 Team Culture & Values

Nscale's Core Values:

🚀 Relentless Innovation: Nscale encourages continuous learning, experimentation, and iteration to drive innovation in the AI infrastructure market.
🔑 Ownership and Accountability: Team members are empowered to take ownership of their roles and held accountable for driving results and delivering on business objectives.
🗣 Openness and Transparency: Nscale fosters open communication, collaboration, and information sharing across all levels of the organization.
🌟 Customer-Centric: The company prioritizes customer needs and strives to deliver exceptional service and support to its clients.
🌍 Sustainability: Nscale is committed to minimizing its environmental impact and promoting sustainable practices in its operations and infrastructure.
🤝 Full-Speed Collaboration: Nscale values teamwork, cross-functional collaboration, and a fast-paced, high-performing culture.

Collaboration Style:

🤝 Cross-Functional Integration: Nscale encourages collaboration between engineering, product, operations, and other teams to ensure alignment and successful project execution.
📝 Code Review Culture: The company emphasizes peer review, knowledge sharing, and continuous learning to maintain high coding standards and best practices.
🌱 Knowledge Sharing: Nscale encourages team members to share their expertise and mentor others to drive collective growth and development.

📝 Enhancement Note: Nscale's values and collaboration style foster a dynamic, innovative, and customer-focused work environment. Candidates should be prepared to contribute to the company's mission and align with its core principles.

⚡ Challenges & Growth Opportunities

Technical Challenges:

📊 Large-Scale Deployment Optimization: Design and deploy large-scale GPU infrastructure optimized for performance, scalability, and maintainability.
📐 Complex Rack Layout Design: Engineer complex rack layouts integrating high-performance compute, networking, and storage solutions for AI workloads.
🛡 Network Infrastructure Configuration: Configure critical network infrastructure, including initial firewall/router and switch setups, to support high-performance computing environments.
📐 Emerging Technologies: Stay up-to-date with the latest trends and best practices in GPU infrastructure, AI workloads, and high-performance computing.

Learning & Development Opportunities:

🌱 Technical Skill Development: Expand expertise in GPU infrastructure, AI workloads, and high-performance computing environments through training, workshops, and online resources.
🌟 Technical Leadership: Grow into a senior role, mentoring junior engineers and driving technical decisions within the Infrastructure team.
🌐 Global Impact: Contribute to Nscale's expansion across EMEA, working on large-scale deployments in multiple countries and gaining exposure to diverse datacenter environments.

📝 Enhancement Note: Nscale's fast-paced, high-growth environment offers ample opportunities for career progression and skill development. The company encourages employees to take ownership of their roles and drive innovation in their respective areas.

💡 Interview Preparation

Technical Questions:

📊 Large-Scale Deployment Scenarios: Prepare for questions on designing and deploying large-scale GPU infrastructure, optimizing performance, and ensuring maintainability.
📐 Rack Layout Design: Expect questions on complex rack layout design, integrating high-performance compute, networking, and storage solutions for AI workloads.
🛡 Network Infrastructure Configuration: Brush up on network configuration best practices and prepare for questions on firewall, router, and switch setup.

Company & Culture Questions:

🌟 Nscale's Mission and Values: Familiarize yourself with Nscale's mission, values, and culture. Prepare to discuss how your experience aligns with the company's goals and principles.
🤝 Team Dynamics: Research Nscale's team structure, collaboration style, and cross-functional integration. Prepare to discuss your approach to teamwork and how you contribute to a positive work environment.
🌱 Growth and Development: Reflect on your career goals, technical skills, and areas for improvement. Prepare to discuss your plans for professional development and growth within Nscale.

Portfolio Presentation Strategy:

📊 Large-Scale Deployment Case Studies: Highlight successful large-scale GPU infrastructure deployments, emphasizing performance optimization, scalability, and maintainability.
📐 Rack Layout Design Examples: Showcase complex rack layout designs, demonstrating your ability to integrate high-performance compute, networking, and storage solutions for AI workloads.
🛡 Network Infrastructure Configuration Demonstrations: Prepare live demonstrations of network infrastructure configuration, including firewall, router, and switch setup for high-performance computing environments.

📝 Enhancement Note: Tailor your interview preparation to highlight your experience with large-scale datacenter deployments, GPU infrastructure, and network configuration. Familiarize yourself with Nscale's values and be prepared to discuss how your experience aligns with the company's mission and culture.

📌 Application Steps

To apply for this Datacenter Deployment Engineer position:

📝 Tailor your resume to highlight your experience with large-scale datacenter deployments, GPU infrastructure, and network configuration.
📊 Prepare a portfolio showcasing successful deployments, problem-solving case studies, and any relevant certifications.
🤝 Research Nscale's values and culture to ensure a strong fit and alignment with the company's mission.
📝 Prepare for technical interviews by reviewing GPU infrastructure, AI workloads, and network configuration best practices.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Datacenter Deployment Engineer