System Engineer - Kubeflow - MLFlow - ID47089
System Engineer - Kubeflow - MLFlow - ID47089

System Engineer - Kubeflow - MLFlow - ID47089

Full-Time 36000 - 60000 £ / year (est.) No home office possible
Humand Talent

At a Glance

  • Tasks: Design and maintain infrastructure for high-performance engineering and data workloads.
  • Company: Innovative tech company focused on advanced engineering solutions.
  • Benefits: Competitive salary, 25 days leave, private medical insurance, and hybrid working.
  • Why this job: Solve complex infrastructure challenges and enable innovation for engineering teams.
  • Qualifications: Experience with Kubernetes, Linux systems, and container technologies.
  • Other info: Collaborative environment with opportunities for professional growth.

The predicted salary is between 36000 - 60000 £ per year.

Do you enjoy building infrastructure that powers complex engineering environments? Are you the type of engineer who loves improving performance, reliability and scalability across distributed systems? Looking for a role where your platform work directly enables advanced technical teams to innovate faster? Our client is seeking a Platform Engineer to help design, build and maintain the infrastructure that supports high-performance engineering and data workloads. This role focuses on creating reliable, scalable environments that allow engineering teams to experiment, develop and process large volumes of data efficiently.

Working closely with engineers and technical specialists, you will help shape the platform that powers compute-intensive workflows and internal development environments. This is a great opportunity for a Platform Engineer, Infrastructure Engineer, DevOps Engineer or Kubernetes Engineer who enjoys solving complex infrastructure challenges and improving the systems other engineers rely on.

Why This Role is Great

This position offers the opportunity to design and evolve a modern infrastructure platform supporting demanding engineering workloads. You’ll have the chance to:

  • Design, deploy and operate Kubernetes clusters supporting large-scale compute workloads
  • Build and maintain on-premise infrastructure used for high-performance processing and development environments
  • Manage Linux-based systems and containerised services
  • Configure networking, storage and load balancing across distributed platforms
  • Improve the performance, reliability and scalability of internal compute clusters
  • Develop automation and infrastructure-as-code workflows to streamline deployments
  • Collaborate closely with engineering teams to support evolving technical workloads
  • Contribute to the technical direction of the infrastructure platform

Your work will directly support engineers running complex workloads, making this role ideal for someone who enjoys building infrastructure that enables innovation.

About You

You are an engineer who enjoys working close to the platform layer, building reliable systems that other teams depend on. You may have experience with:

  • Kubernetes cluster deployment and management
  • Linux systems administration
  • Container technologies such as Docker
  • Distributed systems and networking concepts
  • Managing infrastructure for compute-intensive workloads
  • Infrastructure-as-code or automation tooling
  • Troubleshooting complex infrastructure and platform issues

Additional experience that could be useful includes:

  • Python scripting or automation
  • CI/CD tools such as Jenkins
  • Cloud platforms such as AWS
  • Supporting data processing or research-driven engineering environments

Even if your experience doesn’t match every point above, candidates with transferable platform engineering, DevOps, or infrastructure experience are encouraged to explore this opportunity.

What You’ll Gain

This role offers the opportunity to work on technically challenging infrastructure problems in a collaborative engineering environment. Benefits include:

  • Competitive salary
  • 10% company pension
  • 25 days annual leave plus bank holidays
  • Private medical insurance
  • Life cover and permanent health insurance
  • Free on-site parking
  • Hybrid working in Oxford
  • Diversity

System Engineer - Kubeflow - MLFlow - ID47089 employer: Humand Talent

Our client is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among engineering teams. With a focus on employee growth, they provide opportunities to tackle complex infrastructure challenges while enjoying competitive benefits such as a generous pension scheme, private medical insurance, and hybrid working arrangements in the vibrant city of Oxford. This role not only allows you to contribute to cutting-edge technology but also supports your professional development in a supportive environment.
Humand Talent

Contact Detail:

Humand Talent Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land System Engineer - Kubeflow - MLFlow - ID47089

✨Tip Number 1

Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. A friendly chat can give you insider info and maybe even a referral!

✨Tip Number 2

Show off your skills in action! Consider creating a GitHub repo with projects that highlight your experience with Kubernetes, Linux, or automation tools. It’s a great way to demonstrate what you can do.

✨Tip Number 3

Prepare for the technical interview by brushing up on your problem-solving skills. Practice common infrastructure challenges and be ready to discuss how you’ve tackled similar issues in the past.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace System Engineer - Kubeflow - MLFlow - ID47089

Kubernetes cluster deployment and management
Linux systems administration
Container technologies such as Docker
Distributed systems and networking concepts
Infrastructure-as-code or automation tooling
Troubleshooting complex infrastructure and platform issues
Python scripting or automation
CI/CD tools such as Jenkins
Cloud platforms such as AWS
Building reliable systems
Performance improvement
Scalability enhancement
Collaboration with engineering teams
Managing infrastructure for compute-intensive workloads

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with Kubernetes, Linux systems, and any relevant automation tools. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about building reliable systems and how your background makes you a great fit for our team. Keep it engaging and personal!

Showcase Your Problem-Solving Skills: In your application, mention specific challenges you've tackled in previous roles, especially those related to infrastructure and distributed systems. We love engineers who can think on their feet and come up with innovative solutions!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out!

How to prepare for a job interview at Humand Talent

✨Know Your Tech Inside Out

Make sure you brush up on your knowledge of Kubernetes, Linux systems, and container technologies like Docker. Be ready to discuss how you've used these tools in past projects, as well as any challenges you've faced and how you overcame them.

✨Showcase Your Problem-Solving Skills

Prepare examples of complex infrastructure challenges you've tackled. Think about specific situations where you improved performance or reliability in a system. This will demonstrate your ability to think critically and innovate under pressure.

✨Understand the Company’s Needs

Research the company and its engineering environment. Understand their current infrastructure challenges and be ready to suggest how your skills can help solve them. Tailoring your answers to their specific needs shows that you're genuinely interested in the role.

✨Practice Collaboration Scenarios

Since this role involves working closely with engineering teams, be prepared to discuss how you’ve collaborated in the past. Share examples of how you’ve supported other teams and contributed to a positive working environment, highlighting your teamwork skills.

System Engineer - Kubeflow - MLFlow - ID47089
Humand Talent

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