Site Reliability Engineer - Data Platform

IMC Trading; Amsterdam; On-site; EUR 90,000 - 130,000; Full time

Job summary

IMC Trading in Amsterdam is seeking an experienced Site Reliability Engineer to manage distributed data platforms and help standardize deployments across Linux and Kubernetes.

You will join the Data Platform team, working with traders and engineers to improve observability, automate workflows with Airflow or Dagster, and drive long-term reliability of services like Kafka, HDFS and Dremio.

Qualifications

• Strong experience building and managing distributed data platforms (Kafka/Hadoop/Spark/Dremio).
• Hands-on Linux and Kubernetes deployment, configuration, and troubleshooting.
• Infrastructure as code (Ansible preferred) and best practices.
• Proficient Python development and SQL query tuning.
• Read Java source code, tune JVMs, and optimize data tooling.

Responsibilities

• Design, implement and operate data platforms.
• Improve observability to catch issues before users notice.
• Build automation to reduce toil and scale systems.
• Own reliability of services (e.g. HDFS, Kafka, Dremio).
• Drive long-term architectural improvements and prevent issues.

Skills

Kafka

Hadoop

Spark

Dremio

Iceberg

Delta Lake

Kubernetes

Ansible

Python

SQL

Java

Dagster

Airflow

Observability

JVM tuning

Tools

Kubernetes

Puppet

ArgoCD

Helm

Kustomize

Prometheus

Job description

IMC operates on the cutting-edge use of technology to create a competitive edge over the competition. We also grow quick and have plenty of complex technical challenges. We're looking for an experienced SRE with strong background in managing distributed data systems on both bare metal Linux and Kubernetes. We want someone who can help us standardize deployments, elevate observability, and improve automation as we scale our data platform and other critical data services.

You will join our Data Platform team, part of our local data team that builds and runs the systems that are used by traders, quant researchers and engineering teams, for all their data needs. The Data Platform team is responsible for the foundational platform that our data frameworks and tooling is built on top of. This includes observability, scalability and supporting standardised deployments.

Your Core Responsibilities

As an SRE within IMC you will join a sub-team that takes a central role in all the data needs and you'll be working to:

• Design, implement and operate our data platforms.
• Improve observability so we catch issues before our users do.
• Build automation to reduce toil and allow our systems to scale
• Support and own reliability of critical services (e.g. HDFS, Kafka and Dremio)
• Drive long‑term architectural improvements, not just fixing issues, but preventing them.

Your Skills And Experience

• Strong experience managing distributed data platforms (e.g. Kafka, Hadoop, Spark, Dremio); including full installation, debugging and performance tuning
• Hands on experience deploying, configuring and orchestrating software on Linux and Kubernetes, with proven ability to troubleshoot issues in both environments
• Strong experience with infrastructure as code (Ansible preferred) and best practices
• Proficient programming experience in Python
• Ability to read, write and tune SQL queries
• Comfortable reading Java source code, tuning and debugging running JVMs.
• Familarity with data lakehouse technologies (e.g. Iceberg or Delta Lake) as well as query engine technologies (e.g. Dremio, Presto or Trino)
• Exposure to workflow orchestration tools like Airflow or Dagster
• A proactive mindset: you're not just fixing issues but preventing them.
• Comfortable working across teams, with minimal oversight.

Our Tech Stack

• Data Tools: Hadoop (HDFS), Kafka, Dremio, Iceberg, Clickhouse, Spark, Airflow, Flink
• Infrastructure Automation: Ansible, Puppet, Kubernetes (ArgoCD, Helm, Kustomize)
• Observability: Prometheus, Grafana, AlertManager
• Scripting: Python, Bash, SQL
• Others: PCAP infrastructure

About Us

IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.