Site Reliability Engineer (Data Platform)

Location: Amsterdam, Netherlands

Company

Research-driven trading firm using quantitative modeling, machine learning, proprietary technology, and engineering to operate across global markets.

What you will do

• Design, implement, and operate foundational data platforms and critical data services.
• Standardize deployments across bare-metal Linux and Kubernetes environments.
• Improve observability with monitoring and alerting that identify issues before users are affected.
• Build automation to reduce operational toil and support platform scalability.
• Own the reliability of services including HDFS, Kafka, and Dremio.
• Drive long-term architectural improvements focused on preventing recurring incidents.

Requirements

• Strong experience managing distributed data platforms such as Kafka, Hadoop, Spark, or Dremio, including installation, debugging, and performance tuning.
• Hands-on experience deploying, configuring, orchestrating, and troubleshooting software on Linux and Kubernetes.
• Strong infrastructure-as-code experience and knowledge of best practices; Ansible is preferred.
• Proficient programming experience in Python, with the ability to read, write, and tune SQL queries.
• Ability to read Java source code and tune and debug running JVMs.
• Comfort working across teams with minimal oversight and a proactive approach to preventing issues.

Nice to have

• Familiarity with data lakehouse technologies such as Iceberg or Delta Lake.
• Experience with query engines such as Dremio, Presto, or Trino.
• Exposure to workflow orchestration tools such as Airflow or Dagster.

Culture & Benefits

• Work in a research-driven trading environment combining quantitative research, trading, and engineering.
• Collaborate on systems used by traders, quantitative researchers, and engineering teams.
• Contribute to proprietary technology and algorithms operating across global markets.
• Use a technology stack including Hadoop, Kafka, Dremio, Iceberg, ClickHouse, Spark, Airflow, Flink, Kubernetes, Ansible, Prometheus, Grafana, and Python.