Cloud Infrastructure Architect for MLOps Transformation

hace 4 semanas


Madrid, Madrid, España Mygwork A tiempo completo

**Company Overview**

TomTom is an inclusive employer and a member of the largest global platform for the LGBTQ+ business community, myGwork. As part of our diverse team, you will be at the forefront of transforming our AI/ML capabilities throughout the company, paving the way for other teams to revolutionize the world of mapmaking with innovative, scalable, and cost-efficient solutions.

**Salary**

The estimated annual salary for this position is around $140,000-$180,000, depending on location and experience.

**Job Description**

We are seeking a highly motivated Software Engineer to lead the creation, maintenance, and optimization of cloud-based infrastructure that enables massive data storage and processing for different ML model types. You will 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.

**Key Responsibilities:**

  • Design and implement technical solutions that address complex challenges in data processing and infrastructure globally across the company.
  • Integrate Machine Learning Operations (MLOps) tools and frameworks where necessary, working with technologies like Kubernetes and cloud infrastructure.
  • Participate in design decisions, contribute to architectural discussions, and take ownership of major projects or project steps, ensuring high-quality solutions are delivered.

**Required Skills and Qualifications:**

  • 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.
  • Solid understanding of professional software engineering best practices - code reviews, source control, testing, and deployment processes.

**Benefits:**

  • A competitive compensation package.
  • Time and resources to grow and develop, including a personal development budget and paid leave for learning days, as well as paid access to e-learning resources such as O'Reilly and LinkedIn Learning.
  • Time to support life outside of work, with enhanced parental leave plus paid leave to care for loved ones and volunteer in local communities.

**What We Offer:**

In addition to a competitive salary and benefits package, we offer a unique opportunity to work with a global team of experts in AI/ML and contribute to the transformation of our company's capabilities. If you are passionate about innovation and want to make a meaningful impact, we encourage you to apply for this exciting role.



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