Data services and cloud infrastructure for enterprise database and AI workloads
Pythian operates a services-driven business spanning database administration, data pipeline work, and AI/ML deployment across Oracle, SQL Server, and cloud platforms (AWS, GCP, Azure). The tech stack—Cassandra, Kubernetes, Prometheus, Snowflake, plus infrastructure-as-code tools like Terraform—reflects a consulting org built around both legacy database stewardship and modern cloud-native delivery. Hiring is concentrated in engineering and data roles (primarily senior and mid-level) across India, North Macedonia, Canada, and Argentina, suggesting aggressive scaling of delivery capacity.
Pythian is a global data and analytics services company founded in 1997, headquartered in Ottawa, with 201–500 employees. The firm designs and implements customized solutions around database infrastructure, cloud modernization, and AI/ML systems for mid-market and enterprise clients. Core service areas span database administration and optimization (Oracle, SQL Server, MySQL), DevOps and infrastructure automation (Kubernetes, Terraform, Docker), backup and disaster recovery (Veeam), and emerging AI/ML pipeline and deployment work. The company operates on both professional services (custom implementations) and managed services (ongoing support) models.
Pythian's stack includes Cassandra, Kubernetes, GCP/AWS/Azure, Snowflake, Oracle, Terraform, Docker, Prometheus, Grafana, Python, and Go. The mix reflects expertise in database systems, container orchestration, cloud platforms, and infrastructure-as-code.
Active projects include backup infrastructure and job management, storage solution configuration, AI/ML pipeline development and deployment, MLOps implementation, data migration, cloud modernization, and database transformation work.
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