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Map Platform Engineer

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Strava

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Location:
Germany , Berlin

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

87000.00 - 93000.00 EUR / Year
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Job Description:

Strava is growing its mapping and data processing team. We are looking for a highly motivated and experienced cloud platform and geospatial engineer to strengthen the team with their expertise.

Job Responsibility:

  • Take end-to-end responsibility for developing new features on Map Platform, following the full feature lifecycle
  • Work closely with fellow engineers and also Map Design, Product Management, and colleagues from other departments across multiple timezones
  • Discuss and challenge to share knowledge and experiences
  • Directly impact the product experience by building a rich and informative map platform for over a hundred million of users
  • Developing and maintaining Strava’s mapping pipelines and geospatial service offering
  • Work at scale in system and architecture level as well as in the weeds at an implementational and coding level
  • Collaborating cross-functionally with other teams to solve business requirements
  • Designing and implementing enhancements to current systems
  • Identifying and delivering cost optimizations across our full map stack
  • Maintaining high-availability services that report into monitoring and observability systems

Requirements:

  • 3+ years of experience in pipeline orchestration
  • Experience in Cloud Platform engineering and related automation
  • Experience with Kubernetes and AWS data storage, schema design and indexing
  • Familiarity with site reliability concepts and general software architecture
  • Experience with queue and/or DAG based data pipelines, ideally processing large volumes of data in the cloud
  • Minimum of 3 years of working in the field
  • Proven Golang expertise
  • Experience in working with relational databases (e.g. PostgreSQL), use GIS extensions like PostGIS or similar
  • Experience in geospatial query development and spatial analysis as well as data storage
  • Well informed and frequently experiment with the latest geospatial technologies

Nice to have:

  • Ideally have experience in Kubernetes and AWS data storage, schema design and indexing
  • Ideally have experience processing large volumes of data in the cloud
  • Ideally looking for someone with mapping expertise
What we offer:

Offers Equity

Additional Information:

Job Posted:
February 20, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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