The ad says“Deep expertise in Python and building backend systems on cloud platforms (we use AWS)”
The ad says“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”
The ad says“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”
The ad says“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”
The ad says“Deep expertise in Python and building backend systems on cloud platforms (we use AWS)”
The ad says“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”
The ad says“Strong system design skills — you’re comfortable making architectural trade-offs and defending them”
Values
The ad says“Apache Iceberg, AWS Athena, AWS Glue, or Apache Spark”
The ad says“Apache Iceberg, AWS Athena, AWS Glue, or Apache Spark”
The ad says“Apache Iceberg, AWS Athena, AWS Glue, or Apache Spark”
The ad says“Apache Iceberg, AWS Athena, AWS Glue, or Apache Spark”
The ad says“Serverless at scale (Lambda, SAM, CloudFormation)”
The ad says“Multi-level caching strategies (Redis, DynamoDB, in-memory)”
The ad says“Streaming / real-time data pipelines (Kinesis)”
The ad says“Serverless at scale (Lambda, SAM, CloudFormation)”
The ad says“Multi-level caching strategies (Redis, DynamoDB, in-memory)”
The ad says“Serverless at scale (Lambda, SAM, CloudFormation)”
We’re growing rapidly with enterprise customers across banking and insurance, and we’re looking for a Senior Backend Engineer to join Team Atlas : a small, high-ownership team focused on the data infrastructure powering our feature computation platform
You’ll own critical systems end-to-end, and your decisions will shape the product
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
Preferred experience
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
At least 5 years of professional software engineering experience, with a proven track record of leading complex projects in a senior capacity (2+ years)
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
Deep expertise in Python and building backend systems on cloud platforms (we use AWS)
Strong communication and collaboration skills, with the ability to align technical and non-technical stakeholders on a shared vision
We’re eager to meet talented and driven candidates regardless of whether they tick all the boxes. We’re looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply
Apache Iceberg, AWS Athena, AWS Glue, or Apache Spark
