Senior Infrastructure Operations Engineer (EMEA)

Posted Yesterday
Be an Early Applicant
Hiring Remotely in London, Greater London, England, GBR
Remote or Hybrid
116K-128K Annually
Senior level
Artificial Intelligence • Machine Learning • Software
Lightning empowers everyone to build AI.
The Role
Operate and scale GPU infrastructure platforms across Linux, bare-metal, cloud, and Kubernetes environments. Design reliable platforms, automate provisioning and operational workflows, deploy improvements, manage observability, respond to incidents, and participate in on-call rotations. Collaborate with infrastructure, networking, customer success, and software teams while troubleshooting complex systems and balancing design, risk, cost, and business outcomes.
Summary Generated by Built In
Who We Are

Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.

Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.

We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.

The Way We Work

The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice:

  • Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping.
  • Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through.
  • Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together.
  • Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work.
  • Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most.
  • Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact.
 
What We're Looking For

Lightning AI is seeking an experienced Senior Infrastructure Operations Engineer to help operate and scale the infrastructure behind one of the world's largest GPU fleets.

Our Infrastructure Operations team sits at the center of production reliability for Lightning's AI infrastructure. The team works across Linux, bare-metal servers, GPUs, networking, storage, provisioning, and cluster orchestration, serving as a critical technical escalation point when complex infrastructure issues arise.

What You'll Do
  • Operate and troubleshoot large-scale GPU and bare-metal infrastructure across Linux, compute, networking, storage, and cluster orchestration.
  • Serve as a technical escalation point for complex infrastructure issues, driving problems from initial investigation through resolution and root cause analysis.
  • Own operational workflows across the infrastructure lifecycle, including provisioning, configuration, validation, maintenance, remediation, and decommissioning.
  • Build automation and internal tooling that eliminates repetitive operational work and enables the infrastructure fleet to scale efficiently.
  • Identify recurring failure modes and partner with Infrastructure Engineering to build more reliable, repeatable, and automated systems.
  • Improve provisioning, monitoring, diagnostics, and operational processes across a rapidly growing infrastructure footprint.
  • Partner closely with Infrastructure Engineering, Network Engineering, Data Center Operations, Customer Experience, and Platform Engineering to resolve issues that cross team or system boundaries.
  • Participate in a distributed primary/secondary on-call rotation supporting production infrastructure.
What You'll NeedRequired Qualifications
  • Strong experience operating and troubleshooting Linux-based production infrastructure at scale.
  • Experience troubleshooting complex infrastructure issues across compute, networking, storage, and operating systems.
  • Strong automation and scripting skills using Python, Go, Bash, Ansible, or similar tools.
  • Experience with Kubernetes, Slurm, or other cluster and workload orchestration systems.
  • Experience using monitoring, observability, and telemetry systems to diagnose and troubleshoot production infrastructure.
  • Strong systems and networking fundamentals, with a track record of owning production issues through resolution.
  • Comfortable working in ambiguous environments and collaborating across engineering, operations, and customer-facing teams.
Nice-to-Haves
  • Experience troubleshooting, provisioning, or operating bare-metal server infrastructure.
  • Experience operating or troubleshooting GPU, HPC, or other high-performance compute infrastructure.
  • Familiarity with NVIDIA GPUs, DCGM, InfiniBand, RoCE/RDMA, NVLink, or high-speed data center networking.
  • Experience with hardware management and provisioning technologies such as PXE, BMC, IPMI, Redfish, or iDRAC.
  • Experience with distributed or high-performance storage systems such as VAST, Ceph, GPFS, or WEKA.
  • Experience with infrastructure-as-code, configuration management, or GitOps workflows.
 Compensation

We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits.

The anticipated annual base salary range for this role is:
£116,000—£128,000 GBP
Benefits and Perks

We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success:

  • Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents.
  • Meaningful Equity: RSUs that give employees a stake in the company's long-term success.
  • Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.).
  • Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance.
  • Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge.
  • Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments.
  • Professional Development: Annual learning and development allowance to support your professional growth.
  • Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being.
  • Sabbatical Program: Four weeks of paid sabbatical leave after four years of service.
  • Flexible Work: Flexible schedules and a hybrid work model for our office-based teams.
  • In-Office Meals: Complimentary meals at our office hubs.

Benefits may vary by location, team, and role.


At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Skills Required

  • 8+ years of experience working with Linux as a server or hosting platform; Ubuntu experience is preferred.
  • 5+ years of experience with AWS.
  • 2+ years of experience with Kubernetes and strong container fundamentals.
  • 2+ years of experience with Terraform and Ansible.
  • 2+ years of network-attached storage management using NFS, Ceph, or other protocols.
  • Experience with monitoring systems such as Prometheus and the ELK stack.
  • Familiarity with GitOps workflows.
  • Software development experience using Python, Go, Bash, or other languages for automation and system/API integration.
  • Deep networking fundamentals.
  • Experience building and delivering complex systems.
  • Ability to navigate tradeoffs between design, risk, cost, and outcomes.
  • Ability to navigate ambiguity.
  • Strong written and oral communication skills.
  • Experience troubleshooting and provisioning bare-metal hardware; Dell hardware experience is preferred.
  • Experience with GPU servers in bare-metal or virtualized environments.
  • Deep experience with network switches, routers, and firewalls, particularly SONiC, Palo Alto, and Juniper.
  • Experience with VAST storage systems.
  • Experience with datacenter-level networks, 400Gb Ethernet, or InfiniBand.
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: New York, NY
50 Employees
Year Founded: 2019

What We Do

Our platform provides intuitive open source tools, powerful cloud infrastructure and expertise to help you build AI securely.

Why Work With Us

Our team has shaped groundbreaking AI projects like PyTorch and PyTorch Lightning. We’re educators, innovators, and collaborators, united by a mission to democratize AI. A hybrid based company headquartered in New York City, we value in-person time for collaboration while still allowing flexibility.

Gallery

Gallery

Similar Jobs

MVF Logo MVF

User Experience Researcher

AdTech • Digital Media • eCommerce • Marketing Tech • Sales
Remote or Hybrid
United Kingdom
500 Employees

CrowdStrike Logo CrowdStrike

Machine Learning Engineer

Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Remote or Hybrid
3 Locations
11000 Employees

CrowdStrike Logo CrowdStrike

Data Analyst

Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Remote or Hybrid
4 Locations
11000 Employees

Rubrik Logo Rubrik

Sales Engineer

Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Cybersecurity • Data Privacy
In-Office or Remote
London, Greater London, England, GBR
3000 Employees

Similar Companies Hiring

Revel Thumbnail
Aerospace • Hardware • Robotics • Software
Marina Del Rey, California
60 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software
New York, New York
30 Employees
Vega Thumbnail
Artificial Intelligence • Automotive • Insurance • Transportation
US
43 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account