Full-Stack Software Engineer (New Grad)

Jaide Health

San Francisco (CA)

On-site

USD 90,000 - 118,586

Full time

14 days+

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Job summary

Nue.ai seeks engineering graduates to join a senior, distributed product & engineering team building data‑intensive systems. You’ll own end‑to‑end outcomes from discovery to production, with AI‑assisted tools integrated into daily workflows.

You’ll contribute to backend and frontend development, scale integrations with ERP/payments, and participate in design reviews and performance optimizations.

Qualifications

  • Pursuing or recently completed a Bachelor’s or Master’s in Computer Science, Software Engineering, or a related field.
  • Solid programming experience in Java, TypeScript/JavaScript, or Python with web app exposure.
  • Strong CS fundamentals: data structures, algorithms, concurrency, and databases.
  • Experience building APIs, services, or full‑stack features via internships or projects.
  • Familiarity with Git, Linux/CLI, and at least one cloud or container concept (e.g., Docker, AWS).
  • Strong communication and collaboration in a remote, cross‑functional team.

Responsibilities

  • Build and ship full‑stack features end‑to‑end in core product teams.
  • Develop and extend backend services (Java/Spring or similar) with REST/GraphQL APIs.
  • Work on frontend applications using modern TypeScript/JavaScript frameworks.
  • Maintain integrations with NetSuite, Sage Intacct, QuickBooks, Dynamics, Salesforce, Stripe.
  • Write clean, test‑driven code and participate in CI/CD and monitoring.
  • Collaborate with senior engineers, product managers, and customer teams.
  • Contribute to code reviews, design discussions, and distributed systems topics.

Skills

Java
TypeScript/JavaScript
Python
CS fundamentals
API development
Git
Linux/CLI
Cloud/Containers
Communication
Ownership mindset

Education

Bachelor’s or Master’s in Computer Science, Software Engineering, or related field

Job description

About Nue

Nue.ai is a fast‑growing, enterprise‑grade, quote‑to‑revenue platform that provides transactional intelligence to help companies run sales, revenue and finance operations with far less friction, for any revenue model, across multiple revenue channels. We unify billing, usage, and revenue data into a single system of record, then apply intelligence on top so teams can see what’s happening, understand why, and act quickly.

Nue integrates deeply with ERPs (NetSuite, Sage Intacct, QuickBooks, Microsoft Dynamics), payment systems (e.g., Stripe), and CRMs to power complex quote‑to‑cash and billing workflows for modern AI and SaaS companies.

We are building deep, data‑intensive, highly distributed systems across teams like:

  • AI: Full‑stack systems that leverage AI to augment how finance and revenue teams work.
  • Revenue Lifecycle Management: Manage the new business quotes and orders, and the entire upsell, cross‑sell lifecycle of businesses.
  • Billing & Collections: High‑volume transactional and distributed systems for rating, invoicing, and collections.
  • Data & Integrations: Integrations with ERPs, payment gateways, tax engines, and data pipelines that power order‑to‑cash.

You’ll join a small, senior, distributed product & engineering team and work on production systems from day one.

We take a product engineering approach: engineers are expected to be deeply product‑ and customer‑focused, working closely with product, design, and customer‑facing teams to understand real customer workflows, define success metrics, and iterate quickly. Rather than just implementing tickets, you’ll own outcomes end‑to‑end — from problem discovery and UX trade‑offs through to quality in production, learnings from telemetry and customer feedback, and how features drive business impact.

In this job, you will use AI‑assisted tools (such as Claude Code, Glean and ChatGPT) as part of your daily workflow to accelerate development while maintaining strong engineering judgement and code quality, and take an AI‑forward approach to how you design, code, test, and release software - treating AI as a core part of your engineering toolkit rather than an afterthought.

What You’ll Do
  • Build and ship full‑stack features end‑to‑end – from APIs and data models to UI components and tests – in one of our core product teams (AI, Billing & Collections, Data & Integrations, or CPQ & Lifecycle Manager).
  • Develop and extend backend services (primarily Java / Spring Boot or similar), including REST/GraphQL APIs, data access layers, and event‑driven components, with a strong focus on transactional correctness, performance, and scalability.
  • Work on frontend applications (modern TypeScript/JavaScript frameworks) to deliver intuitive workflows for finance and revenue teams.
  • Help build and maintain integrations with systems like NetSuite, Sage Intacct, QuickBooks, Microsoft Dynamics, Salesforce, Stripe, and tax/GL systems using APIs, webhooks, and iPaaS tools (e.g., Tray.io, Salesforce Flows).
  • Write clean, test‑driven code and contribute to automated testing, CI/CD pipelines, and monitoring to keep our systems reliable in production.
  • Use AI‑assisted coding tools (such as Claude Code and ChatGPT) as part of your daily workflow to accelerate development while maintaining strong engineering judgment and code quality.
  • Collaborate closely with senior engineers, product managers, and customer‑facing teams to understand real customer problems and iterate quickly on solutions.
  • Participate in code reviews, design discussions, and technical deep dives on topics like distributed systems, performance optimization, and data modeling.
Who You Are

We’re especially excited about students and recent grads who have interned with us or at similar B2B/SaaS companies, and who learn new technologies very quickly – particularly in AI‑accelerated environments.

Minimum Qualifications
  • Pursuing or recently completed a Bachelor’s or Master’s in Computer Science, Software Engineering, or a related field.
  • Solid programming experience in at least one of: Java, TypeScript/JavaScript, or Python, with exposure to building web applications (backend, frontend, or both).
  • Strong understanding of core CS fundamentals: data structures, algorithms, concurrency basics, and database concepts (SQL and/or NoSQL).
  • Experience (through internships, projects, or co‑ops) building non‑trivial applications – ideally including APIs, services, or full‑stack features.
  • Familiarity with version control (Git), basic Linux/CLI workflows, and at least one cloud provider or containerization concept (e.g., Docker, AWS).
  • Strong communication and collaboration skills, including the ability to ask thoughtful questions, proactively raise issues, and work effectively in a remote, cross‑functional team.
  • Demonstrated curiosity, ownership, and learning velocity — especially around new frameworks, cloud services, and AI tooling.
Nice to Have
  • Internship or co‑op experience at a SaaS or B2B software company, preferably working on back‑end, data, or distributed systems.
  • Experience with Java + Spring Boot, or another modern backend framework, and building REST/GraphQL APIs.
  • Exposure to financial systems: billing, invoicing, payments, ERPs, or quote‑to‑cash flows.
  • Experience using or integrating with systems like NetSuite, Sage Intacct, QuickBooks, Microsoft Dynamics, Salesforce, or Stripe (coursework or side projects count).
  • Familiarity with event‑driven architectures, message queues (Kafka, RabbitMQ), or stream processing.
  • Experience with test‑driven development (TDD) and writing automated tests (unit, integration, or end‑to‑end).
  • Regular use of AI‑assisted coding tools (Claude Code, ChatGPT, etc.) plus an opinionated view on when to trust vs. question AI output.
How We Work With New Grads
  • You’ll be paired with a senior engineer mentor on your team who will help you ramp up on our stack, codebase, and domain.
  • Expect to own real production work early – our previous college hires have shipped core features and become key contributors quickly.
  • We value initiative, learning capacity, and leadership potential over raw coding speed, especially as AI changes how we write software.
Compensation

The base pay range for this role is $90,000 – $118,586 per year.

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