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Datadog's Batch Engineering team is seeking a Senior Backend Engineer to architect and own scalable systems that apply signal-finding models at scale. You will work from the Paris hub, designing and operating backend infrastructure that powers both internal data science teams and external customers.
In this role, you will own Kafka and Flink components end-to-end, from architecture and implementation through production reliability, performance, and evolution. Most backend engineers specialize in one or the other; you will own both end-to-end, giving you rare breadth and depth in data processing infrastructure.
Key responsibilities include:
- Design, build, and operate backend systems that apply signal-finding models at scale for internal data science teams and external customers
- Own Kafka and Flink components end to end, from architecture and implementation through production reliability, performance, and evolution
- Partner with data scientists to translate models and signal requirements into robust production workflows
- Improve scalability, observability, and operational resilience of data processing systems as usage grows
- Lead technical decisions in your domain, collaborate across engineering teams, and mentor other engineers through design reviews and technical guidance
Datadog operates as a hybrid workplace, valuing office culture for relationships, creativity, and collaboration while enabling work-life harmony.
Qualifications:
- Significant backend engineering experience building and operating distributed systems in production
- Hands-on experience with Kafka and Flink, including designing or improving data processing pipelines at scale
- Ability to reason through tradeoffs in throughput, latency, reliability, and maintainability, and translate those decisions into clear designs and working code
- Comfort collaborating with data scientists and engineering partners to translate open-ended requirements into dependable systems
- Ability to take ownership of a technical area while sharing context, reviewing designs, and supporting teammate growth
- Curiosity about using AI tools to improve software development and ability to evaluate their output critically
Datadog notes that not all candidates will meet every qualification on day one and encourages passionate technologists to apply.
