Unstructured Data Devops
FINDEV
We create simple solutions to complex problems.
We are experts in building cutting edge fintech solutions.
We build to avoid burdensome support costs.
At the same time, we understand IT in fintech is a service to the business that solves specific problems.
Our goal is balance. We persistently look for a balance between continual improvement and delivering features on time.
Our expertise:
Trade sizing, systematic trading
Electronic trading (order management / execution management / connectivity)
Risk calculation
Business Intelligence / Analytical reports
Trade compliance
We need a DevOps engineer to assist developers in utilizing AI for processing unstructured data. This involves establishing a solution for the acquisition, movement, and ingestion of large volumes of unstructured data on a daily basis, and making this data available for AI processing.

Skills, in priority order (from must-have to nice-to-have), include:

  • DevOps that can code: 25% coding, 75% operations
  • Python
  • Kubernetes (K8s), Airflow/Dagster/Airbyte, Argo Workflows, Databricks
  • Infrastructure as Code (IaC) - Terraform, Cloud Development Kit (CDK)
  • Monitoring (Datadog, Splunk, PagerDuty) - managing a production system
  • Event-based systems - Kafka
  • APIs, Layer 3/7 networking (Envoy)
  • Application authentication (Okta)
  • AI stack - OpenAI, Claude 3, Pinecone, SageMaker, Bedrock
  • English B2