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Senior Machine Learning Site Reliability Engineer

Pubblicato il 15-08-2026 - Altro in Milano

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.
Excited to make an impact? Here are the details
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 prefe

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