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Senior Backend Engineer (Team Atlas)

Taktile

hybridseniorpermanentbackenddata Full remote - Berlin, DE Today via WTTJ

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Tags

PythonAWS LambdaDynamoDBAuroraEvent-driven ArchitectureServerlessSystem DesignRedisApache SparkKinesis

About the role

Role overview

Join Taktile as a Senior Backend Engineer (Team Atlas). You will build and own the data infrastructure powering a feature computation platform, taking end-to-end responsibility from architecture to deployment, monitoring, and incident response.

Key missions

  • Design, develop, and maintain Python backend services on AWS, with emphasis on AWS Lambda, DynamoDB, Aurora, and event-driven pipelines.
  • Make key architectural decisions and own systems end-to-end (architecture → implementation → deployment → monitoring → incident response).
  • Raise team quality through code reviews, mentoring, and improving development tools/processes.

Requirements

  • Ability to work in a hybrid model from Berlin HQ, London office, or Iasi hub (no relocation assistance).
  • Strong communication and collaboration skills; align technical and non-technical stakeholders.
  • Deep expertise in Python and building backend systems on cloud platforms (AWS).
  • Strong system design skills; comfortable making and defending architectural trade-offs.
  • Depth in at least one area:
    • Data pipelines and storage
    • Event-driven architectures
    • Caching and performance
    • Serverless systems
  • 5+ years professional software engineering experience, including 2+ years leading complex projects in a senior capacity.

Nice-to-haves / additional skills

  • Apache Iceberg, AWS Athena, AWS Glue, or Apache Spark
  • Multi-level caching strategies (e.g., Redis, DynamoDB, in-memory)
  • Serverless at scale (e.g., Lambda, SAM, CloudFormation)
  • Streaming / real-time pipelines (e.g., Kinesis)

What we value

  • Candidates who add to the team culture and are driven, even if they don’t meet every requirement.

About Taktile

Taktile is a tech company building a feature computation platform backed by data infrastructure and backend services. The role focuses on owning and operating critical backend systems on AWS, including serverless and event-driven data pipelines.

Scraped 5/13/2026

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