Senior Software Engineer, AI-Powered Internal Apps

Data Direct Networks

New York (NY)

Hybrid

USD 140,000 - 190,000

Full time

14 days+

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Benefits offered by this job

Vacation plans
Paid holidays
Bonus programs
Tuition reimbursement
Referral program
Health benefits
Paid leave
Recognition awards

Job summary

Data Direct Networks is seeking a Senior Software Engineer to build internal applications on top of our enterprise data platform. You will craft end-to-end, full-stack tools and AI-powered services for GTM, Finance, Support, and Product, shaping a new product portfolio.

You'll own frontend and backend work, deploy on GCP, implement CI/CD, and ensure observability and security. Join a cross-functional team driving data-driven decision making and operational excellence.

Qualifications

  • 5+ years building production software, with web apps.
  • Strong Python APIs with FastAPI or Flask experience.
  • Hands-on with GCP services: App Engine, Cloud Run, GKE.
  • Proficient SQL skills and cloud data warehouse design.
  • Experience deploying AI/LLM-powered apps in production.

Responsibilities

  • Build internal applications on top of our data platform.
  • Design and ship full-stack tools for GTM, Finance, Support, Product.
  • Integrate AI/LLM features with production quality.
  • Define reusable building blocks and ensure reliable, observable services.
  • Collaborate with analytics and data engineers to scope tools.

Skills

Python
Full-stack
AI in prod
GCP
SQL
CI/CD
Observability
Data modeling
Collaboration

Education

Bachelor's degree in CS/Engineering

Tools

App Engine
Cloud Run
GKE
BigQuery
Terraform
Airflow

Job description

Data Direct Networks is seeking a Senior Software Engineer to build internal applications on top of our enterprise data platform. You will craft end-to-end, full-stack tools and AI-powered services for GTM, Finance, Support, and Product, shaping a new product portfolio.

You'll own frontend and backend work, deploy on GCP, implement CI/CD, and ensure observability and security. Join a cross-functional team driving data-driven decision making and operational excellence.

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