Full-Stack Software Engineer (New Grad)

Location: USA (San Francisco Bay Area, CA)

Department: Engineering

Location Type: HYBRID

Employment Type: FULL_TIME

What You’ll Do:

Responsibilities:

• 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.

What You'll Bring:

• 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.

Bonus Points (optional):

• 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.

How to Apply:

• A short note (or cover letter) describing:
  • What you’ve built that you’re most proud of (class, internship, or personal project)
  • How you’ve used AI tools (if at all) in your development workflow

Note Regarding Compensation: