AI application infrastructure with built-in safety monitoring and security
SquareDev operates a data and AI platform stack centered on Python, Spark, dbt, Airflow, and Databricks, with deep security tooling (SIEM, XDR, SOAR, EDR, CSPM, IAM) woven throughout. The hiring mix—heavily weighted to senior engineers and security specialists—reflects their core challenge: scaling AI infrastructure safely. Active projects span data pipeline optimization, cloud hardening, and legacy system migration, all pointing to a company building developer-facing AI ops tools where reliability and auditability matter as much as performance.
SquareDev, founded in 2018 and headquartered in Brussels, provides a platform for developers to build and operate AI applications with integrated safety, observability, and monitoring. The product targets engineering teams building production AI systems, offering frameworks and infrastructure designed around explainability, responsible AI, and operational governance. The company operates lean (11–50 employees) with concentrated technical depth: the engineering and security hiring focus, paired with active work on cloud security hardening and data pipeline reliability, suggests SquareDev is solving problems in the AI ops and governance layer where traditional ML platforms fall short.
Python, SQL, Apache Spark, dbt, Apache Airflow, Databricks, Snowflake, BigQuery, Delta Lake, Prefect, React, FastAPI, TypeScript, and AWS/Azure/GCP. Security stack includes SIEM, XDR, SOAR, EDR, CSPM, and IAM tools.
Core projects include AI and analytics data pipelines, ETL/ELT workflow optimization, data lake/warehouse maintenance, security platform deployment, cloud hardening, legacy repository migration, and automated regression testing infrastructure.
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