Site Reliability Engineer

Site Reliability Engineer

Full-Time 49600 - 74400 € / year (est.) Home office (partial)
Matillion

At a Glance

  • Tasks: Design self-healing infrastructure and optimise cloud ecosystems for high performance.
  • Company: Join Matillion, a leader in intelligent data integration and innovation.
  • Benefits: Competitive salary, company equity, 30 days holiday, and flexible working culture.
  • Other info: Collaborative environment focused on big goals and personal growth.
  • Why this job: Shape the future of data with cutting-edge technology and AI-driven operations.
  • Qualifications: Experience with Kubernetes, cloud infrastructure, and programming skills.

The predicted salary is between 49600 - 74400 € per year.

Ready to shape the future of data? Matillion is the intelligent data integration platform. We are changing how the world works with data – and we need driven, curious people who think big and move fast. We built the Data Productivity Cloud to supercharge data productivity, and now we are shaping the future of data engineering with Maia – our AI-powered virtual data engineers that help teams design, build, and manage data pipelines at unmatched speed. Join #TeamGreen, where the mission comes first, collaboration drives us forward, and everyone pulls in the same direction to make a dent in the universe bigger than ourselves.

About the Role

We are looking for a Site Reliability Engineer who views "manual effort" as a bug to be fixed. In this role, you won’t just be keeping the lights on; you will be the architect of our system's resilience. We need a proactive engineer who is obsessed with Kubernetes and Cloud infrastructure, but also has a visionary streak—someone eager to experiment with AI-driven operations (AIOps) to predict failures and automate responses. If you enjoy building self-healing systems and staying ahead of the tech curve, this is the place for you.

What you will be doing

  • Engineering Reliability: Designing and implementing self-healing infrastructure using Kubernetes to maintain high uptime and system integrity.
  • Scaling Cloud Ecosystems: Optimising our cloud footprint (AWS/GCP/Azure) to ensure our platforms can handle rapid growth without breaking a sweat.
  • Innovating with AI: Proactively identifying opportunities to integrate AI tools into our observability stack to automate incident detection and root-cause analysis.
  • Eliminating Toil: Writing clean, efficient code to automate repetitive operational tasks, turning manual workflows into seamless "set and forget" processes.
  • Defining Observability: Building advanced monitoring and alerting frameworks that provide deep insights into system health and performance.

What we are looking for

  • Kubernetes Power User: Extensive experience managing production-grade K8s environments, including ingress, service mesh, and container security.
  • Cloud Infrastructure Expert: A deep understanding of cloud networking, storage, and compute services within a major provider (AWS, Azure, or GCP).
  • Proactive Mindset: An engineer who doesn’t wait for a ticket; you naturally seek out system weaknesses and build solutions to strengthen them.
  • AI Curiosity: An active interest in the AI landscape and a desire to leverage LLMs or machine learning to improve SRE workflows.
  • Programming Literacy: Ideally experience with at least one language (such as Java, Python, Go, or Ruby) to bridge the gap between software engineering and operations.

At Matillion, we are committed to providing competitive salaries in line with market standards. Our estimated compensation range for this position is £49,600 - £74,400, but the final salary will be based on your relevant skills, experience and qualifications demonstrated in the hiring process. At Matillion, we are here to do something hard - change the way the world works with data, and build a great company along the way. Big, bold goals aren’t for the faint-hearted, and we don’t shy away from them. But we don’t do it alone. No egos, no politics - just great people working together, guided by our six core values;

  • Confidence without arrogance
  • Working with integrity
  • Customer obsessed
  • Innovate and demand quality
  • Bias for action
  • We care

We operate a flexible working culture that promotes work-life balance, with benefits including:

  • Company Equity
  • 30 days holiday +

Site Reliability Engineer employer: Matillion

At Matillion, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Site Reliability Engineer, you'll have the opportunity to shape the future of data while enjoying competitive salaries, generous benefits like company equity, and a flexible working environment that prioritises work-life balance. Join us in our mission to revolutionise data integration and be part of a team where your contributions truly matter.

Matillion

Contact Detail:

Matillion Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Site Reliability Engineer

Tip Number 1

Network like a pro! Reach out to current or former employees at Matillion on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus.

Tip Number 2

Show off your skills! If you’ve got a GitHub or personal project that showcases your Kubernetes or AI-driven solutions, make sure to highlight it during interviews. It’s a great way to demonstrate your hands-on experience.

Tip Number 3

Prepare for the tech talk! Brush up on your knowledge of cloud infrastructure and self-healing systems. Be ready to discuss how you’ve tackled similar challenges in the past—this will show you’re the proactive engineer they’re looking for.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining #TeamGreen and making a difference in the data world.

We think you need these skills to ace Site Reliability Engineer

Kubernetes
Cloud Infrastructure (AWS/GCP/Azure)
AI-driven Operations (AIOps)
Incident Detection
Root-Cause Analysis
Programming (Java, Python, Go, Ruby)
Observability Frameworks

Some tips for your application 🫡

Show Your Passion for Data:When you're writing your application, let your enthusiasm for data shine through! We want to see how driven and curious you are about shaping the future of data. Share any personal projects or experiences that highlight your passion.

Tailor Your Application:Make sure to customise your application to match the job description. Highlight your experience with Kubernetes, cloud infrastructure, and AI tools. We love seeing candidates who take the time to connect their skills with what we're looking for!

Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the Site Reliability Engineer role. Remember, less is often more!

Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining #TeamGreen!

How to prepare for a job interview at Matillion

Know Your Kubernetes Inside Out

Make sure you brush up on your Kubernetes knowledge before the interview. Be ready to discuss your experience managing production-grade K8s environments, including ingress and service mesh. They’ll want to see that you can not only talk the talk but also walk the walk when it comes to container security.

Show Off Your Cloud Expertise

Familiarise yourself with the cloud infrastructure they use, whether it's AWS, Azure, or GCP. Prepare to share specific examples of how you've optimised cloud ecosystems in the past. This is your chance to demonstrate your deep understanding of cloud networking, storage, and compute services.

Be Proactive and Solution-Oriented

Matillion is looking for someone who doesn’t wait for problems to arise. Think of examples where you’ve identified system weaknesses and proactively built solutions. Highlight your ability to eliminate toil through automation and how you’ve turned manual workflows into efficient processes.

Embrace AI Curiosity

Since they’re keen on integrating AI tools into their operations, show your enthusiasm for the AI landscape. Discuss any projects where you’ve leveraged machine learning or LLMs to improve workflows. This will demonstrate that you’re not just technically skilled but also forward-thinking and innovative.