Senior Machine Learning Site Reliability Engineer

🕒 January 13

🇮🇹 Italy – Remote

💵 €55k - €85k / year

⏰ Full Time

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 46%

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Prima

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2015

💼 Consulting

📦 Logistics

🛡️ Insurance

💰 $115.8M Series A on 2018-11

Consulting • Logistics • Insurance

Prima is a digitally-native insurance company that redesigns and digitizes the insurance value chain to deliver fast, customer-friendly policies and claims online. Founded in 2015, Prima has grown to serve over 5 million customers across Europe and reported €1. 8 billion in gross written premiums in 2025, operating in Italy, Spain and the UK through partnerships with established carriers and brokers. The company builds its own tech platforms and data stack to power pricing, distribution, agent/broker management, and claims handling, and joined the AXA Group in November 2025 to support further growth.

📋 Description

• Design, build, and operate reliable and scalable systems • Define and monitor SLOs and SLIs • Work directly on production infrastructure • Collaborate with software engineers on system design and reliability improvements • Develop infrastructure and operational workflow automation to eliminate toil and reduce MTTR • Participate in and lead incident response • Drive blameless post-incident reviews and implement follow-ups in code and tooling • Analyze and optimize system performance and cost • Provide data, insights, and recommendations for capacity planning • Support security best practices through vulnerability remediation and threat mitigation • Engage stakeholders, propose solutions, share learnings, and mentor others

🎯 Requirements

• Hands-on experience with SRE practices in production • Strong AWS expertise • Experience with Kubernetes, networking, DNS, and Infrastructure as Code • Pulumi preferred; Terraform a plus • Strong software engineering fundamentals with emphasis on code quality and maintainability • Solid Python proficiency and deep knowledge of the Python ecosystem, including testing, debugging, and packaging • Hands-on experience with PySpark • Familiarity with MLOps practices, including model registries, model versioning, retraining workflows, and end-to-end deployment lifecycles • Experience leading incident response and root-cause analyses • Stakeholder engagement and mentoring abilities • Experience operating in highly regulated industries, managing sensitive data, and supporting secure networking setups (nice to have) • Experience with Cloudflare (nice to have) • Understanding of microservices architectures and distributed systems, including RabbitMQ, Kafka, PostgreSQL, and Redis (nice to have) • Hands-on experience with Datadog and exposure to Rust and Elixir systems (nice to have)

🏖️ Benefits

• Learning resources • Mentorship • Growth plan tailored to you • Private healthcare • Gym discounts • Wellbeing programs • Mental health support

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