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DevOps Engineer

9 hours, 27 minutes ago
Italy
Full-time
Senior
DevOps Engineer
DevOps and Infrastructure
Apache Spark AWS Cloudflare Cybersecurity Datadog DNS Kafka Kubernetes Microservices MLOps PostgreSQL Pulumi Python RabbitMQ Redis Terraform
Apply Now
Prima

Prima

Prima is a pioneering insurance company at the forefront of revolutionizing the industry through innovation, technology, and data-driven strategies. With a focus on providing exceptional customer experiences and competitive pricing, Prima has successfu...

Insurance
501-1000
Founded 2014
$116M raised
View All Jobs 47

Description

  • Design, build, and operate reliable, scalable production systems.
  • Define and monitor service-level objectives and indicators (SLOs/SLIs).
  • Collaborate with software engineers on system design and reliability improvements.
  • Develop infrastructure and operational automation to reduce manual work and MTTR.
  • Participate in and lead incident response and blameless post-incident reviews.
  • Implement follow-up improvements through code and tooling after incidents.
  • Analyze and optimize system performance and cost.
  • Provide data and recommendations for capacity planning.
  • Remediate vulnerabilities and mitigate threats to support security best practices.
  • Engage stakeholders, share learnings, and mentor others on reliability practices.

Requirements

  • Hands-on experience applying SRE practices in production environments.
  • Strong AWS expertise, including Kubernetes, networking, DNS, and Infrastructure as Code.
  • Experience with Pulumi preferred; Terraform experience is a plus.
  • Strong software engineering fundamentals, with emphasis on code quality and maintainability.
  • Solid Python proficiency, including testing, debugging, and packaging in the Python ecosystem.
  • Experience leading incident response and root-cause analyses (RCAs).
  • Experience in regulated industries or handling sensitive data is preferred.
  • Understanding of microservices architectures and distributed systems, including RabbitMQ, Kafka, PostgreSQL, and Redis.
  • Experience with Datadog for platform and application monitoring and performance optimization.
  • Experience with PySpark and familiarity with MLOps practices is preferred.

Benefits

  • Flexible work from home, office, or hybrid arrangements.
  • Work from anywhere for up to 30 days per year.
  • Learning resources, mentorship, and a tailored growth plan.
  • Private healthcare.
  • Gym discounts, wellbeing programs, and mental health support.

Interested in this position?

Apply directly on the company website

Apply Now

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