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Senior Python Software Engineer

6 hours, 56 minutes ago
Spain
Full-time
Senior
Machine Learning Engineer
Software Development
Apache Airflow AWS BDD CI/CD Databricks Kafka Kubeflow Kubernetes Machine Learning MySQL PostgreSQL Pulumi Python RabbitMQ TDD 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 40

Description

  • Design and evolve reliable systems and shared capabilities supporting the full ML lifecycle, from experimentation through production.
  • Develop platform tools, shared services, and infrastructure for machine learning at scale.
  • Provide technical guidance, mentorship, and support within the ML Platform engineering team.
  • Collaborate with product managers, data scientists, ML engineers, and other stakeholders on training, deployment, and monitoring workflows.
  • Evaluate emerging technologies and industry trends to keep the ML platform robust and future-ready.

Requirements

  • 3+ years of professional software development experience with Python.
  • Strong knowledge of software design principles and architecture.
  • Proficiency with quality-focused development practices, including TDD and BDD.
  • Practical knowledge of CI/CD, infrastructure as code, and containerization technologies.
  • Experience with messaging or streaming platforms such as Kafka or RabbitMQ.
  • Experience designing relational databases such as MySQL or PostgreSQL.
  • Experience with machine learning models and production ML workflows (preferred).
  • Proficiency with cloud-based systems, preferably AWS (preferred).
  • Familiarity with Domain-Driven Design, ML orchestration tools such as Databricks, Airflow, or Kubeflow, and tools including Terraform, CloudFormation, Pulumi, Kubernetes, Knative, or service mesh technologies (preferred).
  • Suitable for mid-level or senior-level candidates.

Benefits

  • Flexible work arrangement: work from home, the office, or a hybrid mix.
  • Work from anywhere for up to 30 days per year.
  • Learning resources, mentorship, and a personalized 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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