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- Tasks: Design and implement self-healing systems using Kubernetes and optimise cloud infrastructure.
- Company: Join Matillion, a leader in intelligent data integration and AI-driven solutions.
- Benefits: Competitive salary, company equity, 30 days holiday, and flexible working culture.
- Why this job: Be at the forefront of tech innovation and make a real impact on data engineering.
- Qualifications: Experience with Kubernetes, cloud services, and programming languages like Java or Python.
- Other info: Dynamic team environment focused on collaboration and career growth.
The predicted salary is between 49600 - 74400 £ per year.
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.
- 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.
- 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. We operate a flexible working culture that promotes work-life balance, with benefits including: Company Equity, 30 days holiday.
Site Reliability Engineer in Manchester employer: Matillion Ltd
Contact Detail:
Matillion Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Site Reliability Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at Matillion. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Kubernetes and AI. This gives us a glimpse of your hands-on experience and problem-solving abilities.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. We love engineers who can communicate their ideas clearly and work collaboratively, so practice explaining your thought process.
✨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, it shows you’re genuinely interested in joining #TeamGreen!
We think you need these skills to ace Site Reliability Engineer in Manchester
Some tips for your application 🫡
Show Your Passion for Automation: When you're writing your application, make sure to highlight your obsession with automating processes. We love candidates who see manual effort as a bug to be fixed, so share examples of how you've turned repetitive tasks into seamless workflows.
Demonstrate Your Cloud Expertise: We want to know about your experience with cloud infrastructure! Be specific about the platforms you've worked with (AWS, GCP, Azure) and any projects where you optimised cloud ecosystems. This will show us you're ready to scale our systems without breaking a sweat.
Emphasise Your AI Curiosity: If you've dabbled in AI or have ideas on how to integrate AI tools into observability, let us know! We're looking for someone who's eager to innovate and experiment, so don't hold back on sharing your thoughts on AI-driven operations.
Keep It Clean and Concise: Your written application should reflect your programming literacy. Use clear and efficient language, just like you would in code. A well-structured application will not only impress us but also demonstrate your attention to detail.
How to prepare for a job interview at Matillion Ltd
✨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 specifics about ingress, service mesh, and container security. This will show that you’re not just familiar with the tech but can also apply it effectively.
✨Show Off Your Cloud Expertise
Prepare to talk about your experience with cloud infrastructure, especially AWS, GCP, or Azure. Think of examples where you've optimised cloud ecosystems for scalability and performance. This will demonstrate your ability to handle rapid growth without breaking a sweat.
✨Demonstrate Your AI Curiosity
Since the role involves integrating AI tools into observability stacks, be ready to share your thoughts on AI-driven operations (AIOps). Discuss any projects where you've experimented with AI or machine learning to improve workflows, as this shows you're forward-thinking and innovative.
✨Prepare for Problem-Solving Questions
Expect questions that assess your proactive mindset and ability to eliminate toil. Think of specific instances where you identified system weaknesses and implemented solutions. This will highlight your hands-on approach and commitment to building resilient systems.
