At a Glance
- Tasks: Build and enhance cloud-native platforms for AI applications and services.
- Company: Join Nscale, the innovative GPU cloud powering AI development.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Inclusive culture that values diversity and encourages personal growth.
- Why this job: Make a real impact on the future of AI technology and infrastructure.
- Qualifications: Experience with Kubernetes, automation, and strong coding skills in relevant languages.
The predicted salary is between 63000 - 77000 £ per year.
About Nscale
Nscale is the GPU cloud engineered for AI.
We provide cost-effective, high-performance infrastructure for AI start-ups andlarge enterprise customers.
Nscale enables AI-focused companies to achieve superior results by reducing the complexityof AI development.
Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility.
We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride intheir work and drives it with excellence and urgency.
As an Nscaler, you’ll build trust through openness and transparency, where everyone is inspired to do their best work.
If you join our team, you’ll be contributing to building the technology that powers the future.
About The Role
Nscale is the GPU cloud engineered for AI.
We provide cost-effective, high-performance infrastructure for AI start-ups andlarge enterprise customers.
Nscale enables AI-focused companies to achieve superior results by reducing the complexityof AI development.
Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility.
We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride intheir work and drives it with excellence and urgency.
As an Nscaler, you’ll build trust through openness and transparency, where everyone is inspired to do their best work.
If you join our team, you’ll be contributing to building the technology that powers the future.
- What You’ll Be Doing
- Platform Operations & Engineering
- Build and improve shared cloud-native platform capabilities used by internal engineering teams to run AI applications and services.
- Own significant parts of the platform area, including Kubernetes cluster operations, workload runtime configuration, deployment workflows, observability foundations, or environment automation.
- Improve the reliability, scalability, and supportability of platform services through practical engineering and operational enhancements.
- Develop automation, tooling, and configuration that reduce manual effort, improve consistency, and make the platform easier to use and operate.
- Apply software engineering where it creates leverage, including scripts, services, CI/CD automation, operational tooling, and platform integrations.
- Reliability, Operability & Automation
- Improve incident prevention, detection, response, and recovery across the platform areas you support.
- Build and refine observability for platform services, including metrics, logs, tracing, dashboards, alerts, and other useful operational signals.
- Strengthen rollout safety, capacity awareness, failure handling, and recovery procedures for production environments.
- Debug and resolve complex issues spanning Kubernetes, Linux, networking, storage, workload runtime behaviour, and cloud or datacentre infrastructure dependencies.
- Enhance operational playbooks, runbooks, and engineering practices to reduce toil and increase service resilience.
- Team Technical Contribution
- Contribute to design discussions, code reviews, and operational standards within the platform engineering team.
- Collaborate with software engineering, infrastructure, and SRE teams to deliver platform capabilities that are practical, supportable, and aligned to operational needs.
- Define sensible defaults, paved roads, and supportable patterns for service deployment and runtime operations.
- Mentor less experienced engineers in platform engineering fundamentals, operational judgement, and good automation practices.
- KPIs
- Platform reliability and service resilience
- Reduction in manual operational toil
- Incident detection, response, and recovery effectiveness
- Observability and operational readiness of platform services
About You
- Strong hands-on experience operating and improving Kubernetes-based platforms in production.
- Solid experience with infrastructure automation, CI/CD, configuration management, or Git Ops-style workflows.
- Strong understanding of reliability engineering principles, including observability, incident response, failure analysis, and operational readiness.
- Experience writing production-quality automation, tooling, or backend code in Go, Python, Bash, or similar languages.
- Good Linux fundamentals, including processes, filesystems, cgroups, service behaviour, and system debugging.
- Good networking fundamentals, including TCP/IP, DNS, routing, load balancing, and container or overlay networking concepts.
- Experience debugging complex production issues across multiple system layers.
- Ability to work independently on substantial technical problems while collaborating effectively with adjacent teams.
- Experience mentoring or supporting less experienced engineers through practical technical guidance.
- What We Can Offer You
You’ll have the opportunity to help shape the operating standards behind a next-generation AI cloud platform, working on complex infrastructure challenges with real ownership and impact.
This is a chance to play a meaningful role in scaling high-performance, sustainable data centre operations in a fast-moving environment.
Equal Opportunities Statement
We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds.
If there’s anything we can do to accommodate your specific situation, please let us know.
The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position.
The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role.
For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.
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Senior Cloud Native Platform Engineer in London employer: Nscale
Nscale is an exceptional employer that fosters a collaborative and innovative work culture, ideal for professionals looking to make a significant impact in the field of network architecture. With a focus on employee growth, Nscale offers ample opportunities for professional development and hands-on experience in cutting-edge technologies, all while being located in a vibrant tech hub that encourages creativity and networking.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Cloud Native Platform Engineer in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Nscale or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Nscale.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Nscale.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Nscale that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior Cloud Native Platform Engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Nscale.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Nscale and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Nscale
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Nscale uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
