Senior Mlops Engineer – Driving Infrastructure For Autonomous Technology Software Engineering

hace 1 día

Zaragoza, Zaragoza, España Tomtom International Bv A tiempo completo
Transformative Opportunity at TomTom

As a senior engineer within our cutting-edge ADAS unit, you'll play a pivotal role in shaping the future of autonomous driving and real-time map generation. You'll lead the creation, maintenance, and optimization of cloud-based infrastructure that enables massive data storage and processing for autonomous driving systems.

Key Responsibilities:
  • Lead the design and implementation of technical solutions that address complex challenges in data processing and infrastructure for autonomous driving applications.
  • Collaborate with a global team of engineers to ensure the infrastructure is scalable, highly available, and resilient, meeting the demands of real-time data processing.
  • Integrate Machine Learning Operations (MLOps) tools and frameworks, working with technologies like Kubernetes, Azure, and Databricks.
  • Own the end-to-end development lifecycle, from gathering requirements to deploying solutions, with a focus on building efficient and maintainable infrastructure.
  • Troubleshoot and resolve complex technical issues, leveraging your deep understanding of infrastructure design and cloud technologies.
Requirements:
  • Bachelor's degree in Computer Science (or related field) or 4+ years of relevant industry experience in infrastructure development.
  • Expertise in building and managing data processing systems with cloud technologies such as Azure, Kubernetes, and Databricks.
  • Proficiency in at least one modern programming language, such as Python or Scala, and experience with scalable system design.
  • Strong familiarity with MLOps principles and tools, including CI/CD pipelines, observability, and infrastructure as code (IaC).
  • Solid understanding of professional software engineering best practices—code reviews, source control, testing, and deployment processes.
  • Ability to work independently, taking ownership of projects and delivering high-quality, maintainable solutions.
  • Excellent communication skills, both written and verbal, in English, to collaborate effectively with a distributed team.

This is a unique opportunity to shape the future of autonomous driving and real-time map generation at TomTom. If you're passionate about cloud infrastructure, scalable systems, and MLOps, we encourage you to apply for this exciting role.

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