At a Glance
- Tasks: Lead the evolution of a large-scale Kubernetes platform for engineering teams.
- Company: Dynamic tech company in London with a hybrid work model.
- Benefits: Competitive salary, bonus, pension, and top-tier benefits.
- Other info: Opportunity to work in a complex enterprise environment with excellent career growth.
- Why this job: Shape the future of developer platforms and enhance Kubernetes usability.
- Qualifications: Deep Kubernetes experience and strong leadership skills required.
The predicted salary is between 60000 - 80000 £ per year.
- Multi-tenancy, Developer Platform, Guardrails and Platform Consolidation
- London, hybrid
- £130k + Bonus, Pension and Top Tier Benefits
Kubernetes Platform Engineering Lead to own and evolve a large-scale internal platform capability used by engineering teams across the business.
This is not a generic Dev Ops role.
It is a senior platform leadership mandate focused on Kubernetes architecture, multi-tenancy, developer enablement, platform guardrails, observability and consolidation of distributed platform patterns.
The successful candidate will help shape how developers consume Kubernetes safely and efficiently, balancing autonomy with enterprise-grade reliability, security, auditability and operational control.
WHAT YOU WILL DO
- Own and evolve a shared Kubernetes platform capability used by multiple engineering teams across a complex enterprise environment.
- Design practical multi-tenancy patterns across AWS accounts, clusters, namespaces and workload boundaries.
- Define platform guardrails covering RBAC, admission controls, policy-as-code, network policy, security, auditability and lifecycle management.
- Help consolidate distributed Kubernetes usage into a more standardised, supportable and developer-friendly platform model.
- Build self-service platform capabilities, golden paths and reusable patterns that reduce developer friction.
- Partner closely with Developer Engineering, Security, Architecture, Cloud Engineering and application teams.
- Own platform roadmap, standards, adoption and continuous improvement.
- Improve observability, tracing, platform reliability and proactive operational insight.
- Lead and coach platform engineers, balancing planned platform tasks with urgent production or developer priorities.
- Treat developers as customers: remove friction, improve usability, and make the secure path the easiest path.
- WHAT YOU WILL BRING
- Deep hands‑on Kubernetes platform engineering experience, ideally including AWS EKS in enterprise‑scale environments.
- Strong understanding of Kubernetes multi‑tenancy design, including clusters vs namespaces vs virtual clusters, control‑plane and data‑plane isolation, and workload segmentation.
- Practical experience with platform guardrails such as RBAC, admission controls, Kyverno or OPA, network policies, Cilium or equivalent, quotas, secrets, audit and compliance controls.
- Experience designing or operating developer‑facing platforms, internal developer platforms, golden paths, self‑service workflows or platform‑as‑a‑product capabilities.
- Strong cloud engineering background across AWS accounts, networking, infrastructure‑as‑code, CI/CD, Git Ops and platform lifecycle management.
- Ability to work with development teams without blocking them — platform engineering should enable, not obstruct.
- Good leadership capability: team management, mentoring, distributed teams, pair programming, group tasks, handling silos and aligning engineers across time zones.
- Strong communication skills and the ability to explain technical trade‑offs clearly to developers, architects, security and senior stakeholders.
- Experience in a regulated financial services or enterprise environment is highly desirable.
This is not a ticket‑driven Dev Ops support role or a purely managerial role with light Kubernetes exposure.
This is not a generic cloud transformation role.
Someone who only knows Kubernetes at deployment or application‑support level need not apply.
We need someone who can go deep on Kubernetes platform design and still lead people, adoption and platform maturity.
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StudySmarter Expert Advice🤫
We think this is how you could land Kubernetes Platform Engineering Lead 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 Intelix.AI 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 Intelix.AI.
✨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 Intelix.AI.
✨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 Intelix.AI 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 Kubernetes Platform Engineering Lead 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 Intelix.AI.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Intelix.AI 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 Intelix.AI
✨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 Intelix.AI 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.
