Sr. Software Engineer - 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

We are on our way to being the first company to power 1 MILLION GPUs and want world-class talent to join our amazing team!

The world is moving faster than ever, and yet, it will never move this slowly again. We are at the forefront of an incredible technological revolution but, at its core, it is fueled by incredible people. People like you.

1,000 Global Employees

11k Happy Customers

16 International Offices

We’re Looking for the Best and Brightest

We are the world’s leading data intelligence platform that reliably accelerates massive datasets for actionable real-time insights. Join our team to help the best and brightest minds tackle the world’s biggest challenges in business, science, medicine, academia and government.

Do What Can’t be Done

For the past 20 years, our team has kept us at the forefront of storage technology and has provided the foundation for enabling researchers to push the limits of “what can be done.”
These innovations take research and discovery to the next level, enabling them to discover cures to disease, observe global warming patterns, model innovative automotive and aerospace designs, discover new sources of energy, make communities safer, and accelerate business results across a wide variety of industries.

DDN Helps Build Your Future, Too

At DDN, we understand our customers’ diverse needs. Whether you’re a data scientist, IT professional, executive, or researcher, our solutions empower you with cutting‑edge technology and unparalleled support.

Highly Competitive Vacation Plans

Paid Holidays

Bonus Programs

Tuition Reimbursement

Employee Referral Program

Excellent Medical, Dental and Vision Benefits

Paid Leave Programs

Anniversary and Recognition Awards

Sr. Software Engineer - Internal Apps

Location

Employment Type

Full time

Location Type

Hybrid

Department G&A Business Technology Data & Analytics

We’re looking for a Senior Software Engineer to build internal applications on top of DDN’s enterprise data platform. This is a largely greenfield charter — a new function dedicated to full-stack tools and AI-powered services for GTM, Finance, Support, and Product. We are building applications that surface data for decision-making and applications that improve and automate the operational processes that run the business. You’ll have early prototypes to learn from, but the mandate is to define this product portfolio and build it out. Data and analytics engineers own what’s underneath; the applications themselves — frontend, backend, deployment, model integration — are yours.

What You’ll Own

Internal applications — design, build, and operate full-stack web apps (FastAPI/Flask + React/TypeScript today, but technology choices are open) that put data and AI into stakeholders’ hands — both as decision-support interfaces and as purpose‑built tools that let them do operational work

AI/LLM integration — build features powered by LLMs and ML — classification, extraction, summarization, copilots, agentic workflows — choosing whichever models, providers, and frameworks fit the problem

Application infrastructure — deploy and operate apps on GCP (App Engine, Cloud Run, GKE), connect them to the data platform, manage auth, own CI/CD and app security

Product surface — define what good looks like for this new function: which problems are worth a custom app vs. a BI dashboard, what our reusable building blocks should be, and how we ship reliable, observable services people depend on

Collaboration — partner with stakeholders to scope the right tool for the job, with analytics engineers to shape the underlying data models, and with data engineers on platform constraints

Your Experience Includes

5+ years building production software, with meaningful time spent on full-stack web applications

Strong Python — APIs (FastAPI, Flask, or similar), data access patterns, packaging, testing

Hands‑on experience with GCP application services — App Engine, Cloud Run, GKE, IAM

Strong SQL and comfort working with cloud data warehouses (BigQuery in our case) — you can write a query, understand its cost, and design an app’s data access layer around it

Experience developing and deploying AI/LLM-powered applications in production — prompt design, structured output, evaluation, cost/latency tradeoffs, awareness that the model and tooling landscape changes quickly

Experience operating what you ship — logging, monitoring, error handling, debugging in production

Experience with software engineering best practices: CI/CD, automated testing, observability, secure application design

Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience

Nice to Have

Experience building AI-native applications such as text‑to‑SQL interfaces, copilots, agentic workflows, or automated insight‑generation systems

Hands‑on experience with one or more LLM provider APIs (Anthropic’s Claude, OpenAI, Google, open‑weight models, etc.) and agent frameworks (Claude Agent SDK, LangGraph, or similar)