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Drillo.AI Tech Stack

AI venture studio building scalable platforms for enterprise transformation

Technology, Information and Internet Dallas, TX 2–10 employees Founded 2022 Privately Held

Drillo pairs deep AWS infrastructure expertise (Lambda, Kinesis, RDS, DynamoDB, Glue) with modern application development (Python, Spring Boot, React, Kubernetes) to co-create AI solutions. The company is actively modernizing legacy systems—replacing PL/SQL and SAS while building event-driven architectures—and hiring aggressively across engineering (mid and senior levels) in the US, Canada, and India, suggesting rapid scaling of delivery capacity.

Tech Stack 46 technologies

ReplacingPL/SQL SAS

What Drillo.AI Is Building

Challenges

  • Modernizing legacy systems
  • Transitioning legacy applications to cloud-native
  • Modernizing legacy frontend code
  • Meeting daily hiring targets
  • Risk identification and control automation

Active Projects

  • Legacy collateral application modernization
  • Event-driven architecture development
  • World class banking product focused on next gen workers

Hiring Activity

Accelerating10 roles · 6 in 30d

Department

Engineering
8
HR
1
Product
1

Seniority

Mid
4
Senior
4
Junior
1
Lead
1
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About Drillo.AI

Drillo is an AI venture studio founded in 2022 that partners with startups, scale-ups, and enterprises to architect and deploy AI-driven platforms. Based in Dallas with a lean team of 2–10 people, the company operates as a technical co-founder model, handling strategy, architecture, and execution. Current focus includes modernizing legacy banking systems, building event-driven architectures, and developing next-generation financial products. The stack spans cloud-native infrastructure (AWS services), application platforms (Java/Spring, Python, React), and orchestration (Kubernetes, Docker, Terraform).

HeadquartersDallas, TX
Company Size2–10 employees
Founded2022
Hiring MarketsCanada, United States, India

Frequently Asked Questions

What is Drillo.AI's tech stack?

Python, Java, Spring Boot, React, AWS (Lambda, Kinesis, RDS, DynamoDB, Glue), Kubernetes, Docker, RabbitMQ, MySQL, and testing frameworks (Jest, Cypress, Playwright). Infrastructure managed via Terraform and CloudFormation.

What is Drillo.AI working on?

Legacy system modernization, event-driven architecture development, and building next-generation banking products. Current challenges include cloud-native migration, frontend modernization, and automation of risk controls.

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