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Pozent Corporation Tech Stack
Data engineering and AI services for financial trading and healthcare platforms
Pozent is a 51–200-person services firm built around large-scale data processing, ML model deployment, and financial trading systems. The tech stack—Spark, Databricks, Kafka, AWS, Airflow—reveals a data-engineering-first operation; the hiring velocity (17 roles in 30 days, weighted toward senior engineers and data specialists) and active projects (trading platform scaling, real-time medical data APIs, ML model adaptation) show they're scaling to handle high-volume, production-critical workloads across fintech and healthcare verticals.
Tech Stack 115 technologies
Core StackApache Spark PySpark Python Iceberg Databricks AWS Glue Apache Airflow Java Spring Kafka SQL Server Jenkins SonarQube AWS Lambda Angular AWS Terraform Postman Jira Parquet AWS Lake Formation Spring Boot Spring Boot Actuator ActiveMQ Sybase Apache Camel API Gateway REST Assured SoapUI Azure+83 more
What Pozent Corporation Is Building
◆Challenges
- Optimizing large-scale data processing systems
- Scaling trading platform
- Enabling new trading activities
- Large-scale data movement
- Pipeline performance issues
- Scaling backend for health data
- Adapting to evolving ml models
- High-volume business-critical operations
- Production support
- Release management
▲Active Projects
- Ai/ml model development
- Large-scale data processing systems in cloud-native environment
- Spark-based workloads optimization
- Fixed income cash
- Trading platform development
- Trading activity enablement
- Api architecture for real-time decisioning with complex medical data
- Performance optimization for backend health data
- Adapting product to evolving ml models
- Data preprocessing
Hiring Activity
20 roles · 15 in 30d
Department
Seniority
Company intelligence
