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# Backend Engineer - Team Atlas

- **Company:** Taktile GmbH
- **Location:** Berlin, Germany (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Apache HTTP Server, Code Review, Amazon DynamoDB, Python (Programming Language), Redis, Software Engineering, Data Streaming, Apache Spark, Caching, AWS Lambda, Backend, Cloudformation, Event Driven Architecture, Low Latency, AWS Glue, Data Pipelines, Serverless Computing
- **Published:** September 5, 2026
- **Apply:** https://startup.jobs/backend-engineer-team-atlas-taktile-7947664

## About the Role

* At least 5 years of professional software engineering experience, with a proven track record of leading complex projects in a senior capacity (2+ years).
 * Deep expertise in Python and building backend systems on cloud platforms (we use AWS).
 * Strong system design skills - you're comfortable making architectural trade-offs and defending them.
 * Depth in at least one of these areas: data pipelines and storage, event-driven architectures, caching and performance, or serverless systems. You don't need all of them.
 * Strong communication and collaboration skills, with the ability to align technical and non-technical stakeholders on a shared vision.
 * The ability to work in a hybrid model from our Berlin HQ, the London office, or the Iasi hub. Please note that relocation assistance is not provided for this role.

Ideal, But Not Required

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

## Description

Banks and fintechs use Taktile to automate critical decisions - like credit and risk - in real time. We're a startup in the automated decisioning space - and the backend is where the hard problems live., * Build and operate backend services in Python on AWS - Lambda functions, DynamoDB, Aurora, and event-driven pipelines that handle real production traffic. You'll leverage agentic AI tools as part of your daily workflow.

 * Tackle hard backend problems - latency, reliability, and scale are everyday concerns.
 * Own your systems end-to-end: from architecture and implementation to deployment, monitoring, and incident response.
 * Make key architectural decisions - you'll have real authority over how things are built, not just what gets built.
 * Raise the bar for the team through code reviews, mentoring, and improving our development tooling and processes.
 * Work directly with Product and Design to shape what we build next.


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