At a Glance
- Tasks: Design and operate scalable systems, automate workflows, and enhance system reliability.
- Company: Join Prima, a leading online motor insurance provider with a collaborative culture.
- Benefits: Competitive salary, private healthcare, gym discounts, and tailored growth plans.
- Other info: Diverse perspectives welcomed; mentorship and career growth opportunities available.
- Why this job: Make a real impact in shaping the future of motor insurance with cutting-edge technology.
- Qualifications: Experience in SRE, AWS, Python, and MLOps practices.
The predicted salary is between 63000 - 77000 £ per year.
Are you looking for a new challenge? Fancy helping us shape the future of motor insurance? Prima could be the place for you. Since 2015, we’ve been using our love of data and tech to rethink motor insurance and bring drivers a great experience at a great price. Our story began in Italy, where we’ve quickly become the number one online motor insurance provider. In fact, we’re trusted by over 5 million drivers. And now we’re expanding to help millions more drivers in the UK and Spain. To help fuel that growth, we need a Senior Machine Learning Site Reliability Engineer to join our Infrastructure team.
This team is the beating heart of Prima. You’ll be joining over +350 engineers across software development, infrastructure, operations and security. Fueled by curiosity, experimentation and collaboration, you’ll help deliver scalable, impactful solutions that shape the future of insurance.
What you’ll do
- Hands-on Reliability & System Engineering: Design, build, and operate reliable and scalable systems by defining and monitoring SLOs/SLIs, working directly on production infrastructure, and collaborating closely with software engineers on system design and reliability improvements.
- Automation, Operations & Incident Response: Actively develop automation for infrastructure and operational workflows to eliminate toil and reduce MTTR, participate in and lead incident response, and drive blameless post-incident reviews with concrete follow-ups implemented in code and tooling.
- Performance, Capacity & Security: Continuously analyze and optimize system performance and cost, provide data, insights, and recommendations to inform capacity planning, and support security best practices through hands-on vulnerability remediation and threat mitigation.
What we’re looking for
- SRE & Cloud Engineering: Hands-on experience with SRE practices in production, strong AWS expertise, Kubernetes, networking, DNS, and Infrastructure as Code (Pulumi preferred, Terraform a plus).
- Automation, Software Engineering and MLOps: Demonstrate strong software engineering fundamentals with an emphasis on code quality and maintainability. This includes solid Python proficiency and deep knowledge of the Python ecosystem (testing, debugging, packaging), hands-on experience with PySpark, and a consistent focus on writing clean, well-structured, and maintainable code. Familiarity with MLOps practices such as model registries, model versioning, retraining workflows, and end-to-end deployment lifecycles is also expected.
- Reliability, Data & Operations: Add stakeholder engagement and mentoring e.g. lead incident response and RCAs, improve system reliability, and engage stakeholders to propose solutions, share learnings, and mentor others.
- Nice to have
- Regulated Environments & Security: Experience operating in highly regulated industries (e.g. Insurance, Banking, Healthcare), managing sensitive data, and supporting secure networking setups, including exposure to security technologies such as Cloudflare.
- Distributed Systems & Microservices: Strong understanding of microservices architectures, their principles and trade-offs, with the ability to troubleshoot and maintain distributed systems and supporting technologies (RabbitMQ, Kafka, PostgreSQL, Redis).
- Observability & Platform Operations: Hands-on experience with Datadog for platform and application monitoring, performance optimisation, and solid fundamentals in database structures and operational troubleshooting, with exposure to systems built in languages such as Rust and Elixir.
€55,000 - €85,000 a year. Grow with us: We may move fast at Prima, but we move together. Get access to learning resources, mentorship and a growth plan tailored to you. Thrive and perform: Your best work begins when you feel your best. Enjoy private healthcare, gym discounts, wellbeing programs and mental health support.
Think you’re a match? Apply now. At Prima, we celebrate uniqueness. If you don’t meet every requirement but are passionate about this role, we still want to hear from you. Innovation thrives on diverse perspectives. Prima is proud to be an equal opportunity employer. Need accommodations during the process? Email us at [email protected]. Let’s build the future of insurance, together.
Senior Machine Learning Site Reliability Engineer in Madrid employer: Prima
At Prima, we pride ourselves on being an innovative and flexible employer, offering our Software Engineers the opportunity to work in a dynamic environment that values collaboration and continuous learning. With access to tailored growth plans, mentorship, and a commitment to employee wellbeing through private healthcare and wellness programs, we ensure that our team members thrive both personally and professionally. Join us in shaping the future of motor insurance while enjoying the flexibility to work from home or anywhere for up to 30 days a year.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Site Reliability Engineer in Madrid
✨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 Prima 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 Prima.
✨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 Prima.
✨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 Prima 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 Machine Learning Site Reliability Engineer in Madrid
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 Prima.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Prima 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 Prima
✨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 Prima 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.
