обновлено 4 дня назад
Senior Backend Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Backend Engineer (AI): Building and operating Python backend services and event-driven data infrastructure on AWS with an accent on feature computation, reliability, latency, and scale. Focus on designing architectures, solving complex distributed-systems challenges, and owning deployment, monitoring, and incident response for production systems.
Location: Hybrid work from the Berlin HQ, London office, or Iași hub. Dublin is also listed as a company location. Relocation assistance is not provided.
Company
provides an AI-native decision platform that helps banks and fintechs automate credit, risk, fraud, claims, and financing decisions.
What you will do
- Build and operate Python backend services on AWS, including Lambda, DynamoDB, Aurora, and event-driven pipelines.
- Develop data infrastructure for the feature computation platform and handle real production traffic.
- Improve latency, reliability, scalability, and system performance.
- Own systems end to end across architecture, implementation, deployment, monitoring, and incident response.
- Make architectural decisions and define technical approaches for complex backend systems.
- Raise engineering standards through code reviews, mentoring, tooling improvements, and collaboration with Product and Design.
Requirements
- At least 5 years of professional software engineering experience, including 2+ years leading complex projects in a senior capacity.
- Deep expertise in Python and backend development on cloud platforms, especially AWS.
- Strong system design skills and the ability to make and defend architectural trade-offs.
- Depth in at least one area: data pipelines and storage, event-driven architectures, caching and performance, or serverless systems.
- Strong communication and collaboration skills across technical and non-technical stakeholders.
- Ability to work in a hybrid model from Berlin, London, or Iași.
Nice to have
- Experience with Apache Iceberg, AWS Athena, AWS Glue, or Apache Spark.
- Experience with streaming and real-time data pipelines, including Kinesis.
- Experience with multi-level caching using Redis, DynamoDB, or in-memory storage.
- Experience operating serverless systems at scale with Lambda, SAM, or CloudFormation.
Culture & Benefits
- Flat hierarchy with direct communication and encouragement to challenge the status quo.
- Mentoring and opportunities for personal and professional development.
- Top-of-market equity and cash compensation package.
- Self-development budget for conferences, books, and classes.
- Apple MacBook Pro and home-office setup support.
- Inclusive environment supporting people from diverse backgrounds and identities.
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