TomTom

Engineer I - Software

TomTom • PL
Hybrid
Hey there!
We're the TomTom Search API team. We're all about tackling tough search challenges, making search faster and more reliable, and ensuring our clients reach their destinations every day. We're dedicated to keeping our product stable, meeting customer needs, and finding creative ways to go beyond the requirements.

If you're looking for an established product that also offers opportunities to explore and innovate, we'd love to have you on board!

What you'll do:

  • Design, develop, and maintain high-quality software solutions for the TomTom Search API team.
  • Participate in complex search-related projects, from initial concept to deployment.
  • Contribute to system optimizations and improving performance to ensure fast and reliable search results.
  • Conduct thorough code reviews and provide constructive feedback to your peers to maintain high code quality standards.
  • Collaborate closely with cross-functional teams, to understand requirements and deliver impactful solutions.
  • Develop and maintain technical documentation to ensure knowledge sharing and project continuity.
  • Drive continuous improvement initiatives to enhance development processes, tools, and methodologies.
  • Stay up-to-date with the latest industry trends and technologies, and apply them to improve our search platform.
  • What you'll need:

  • A bachelor's degree in Computer Science, Software Engineering, or a related field.
  • 1+ years of experience in software development, particularly with Java.
  • Understanding of distributed systems and scalability challenges.
  • Experience with DevOps practices and tools, such as CI/CD pipelines, Docker, and Kubernetes.
  • Excellent problem-solving skills and a demonstrated ability to tackle complex technical challenges.
  • Strong communication and collaboration skills, with the ability to work effectively in a team environment.
  • Experience with cloud platforms such as AWS, Google Cloud, or Azure.
  • Knowledge of RESTful APIs and microservices architecture.
  • A proactive approach and a continuous learning mindset.
  • Nice to have:

  • Strong understanding of search algorithms, data structures, and system design principles.
  • Familiarity with search technologies such as Elasticsearch.