Senior Machine Learning Site Reliability Engineer

Milan - Italy # Senior Machine Learning Site Reliability Engineer## Overview## Job descriptionPrima 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 4 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 300 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 mitigationWhat 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 othersNice 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 **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.**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.Location: Milan - ItalyDepartment: EngineeringJob function: EngineeringEmployment: Permanent Employmentbr#J-18808-Ljbffr