DL Company
We are looking for a full-time Backend Engineer to build out Godel Terminal, a professional web-based financial terminal software offering comprehensive financial and investment data. Stack: Monitoring/Visualization: Grafana, Prometheus Responsibilities: Design, build, and own scalable streaming data pipelines and ETL workflows Optimize large-scale, high-performance databases and ensure efficient data storage Integrate high-volume data feeds and process them for real-time applications Deploy and manage containerized data infrastructure using Docker and Kubernetes Collaborate with backend teams to ensure real-time data delivery to UI components Monitor system performance and ensure reliability through tools like Grafana and Prometheus Implement data security best practices and monitor service reliability with alerting and logging Requirements: NYC residence or willingness to relocate Strong proficiency in Python and JVM-based languages (Kotlin or Java) Extensive experience with large-scale data processing frameworks such as Apache Beam or Spark Expertise in database management (PostgreSQL, NoSQL solutions) and query optimization Familiarity with event-driven architectures and messaging systems like Kafka Hands-on experience with cloud services (AWS, GCP) and Infrastructure as Code tools (Terraform, CloudFormation) Experience with monitoring tools like Grafana and Prometheus Strong debugging skills, especially focused on distributed systems performance optimization Excellent communication skills, both written and verbal Nice to have: Experience with real-time data systems and streaming architectures (e.g., Kafka, Flink) Familiarity with financial data systems or terminals Production experience with Kubernetes at scale in cloud environments Background in managing machine learning pipelines or complex data workflows #J-18808-Ljbffr