Software Engineer

Who We Are

Finance leaders choose Billtrust to get paid faster, control costs, and maximize customer satisfaction. As the leader in B2B accounts receivable workflow and payment software, we provide the world’s leading brands with AI-powered solutions across the full AR lifecycle—from invoice presentment and payment processing to cash application and collections. With over 2,600 global customers, more than $1 trillion in invoice dollars processed, and a proprietary network of 13 million buyers, Billtrust delivers business value through deep industry expertise and a culture relentlessly focused on meaningful customer outcomes.

We’re an AI-first company, not just in what we build for our customers, but in how we work. Across every function, our teams use AI tools daily to work faster, make better decisions, and deliver higher-quality outcomes. We hire exceptional people, give them cutting-edge AI capabilities, and measure success by the impact they create. If you want to do the best work of your career at the frontier of AI and fintech, Billtrust is the place to do it.

Our Values

Customers

We relentlessly increase value for customer and do the right thing for them.

Action

We make ‘thoughtfully fast’ decisions, act quickly, cut through red tape, deliver progress not perfection, take ownership and accountability.

Team Spirit

We put the team ahead of ourselves, foster trust and respect, collaborate with passion, despise toxic politics, value our differences, and celebrate together.

Innovation

We challenge the status quo, experiment thoughtfully, and are novel and brilliant in what we create.

Excellence

We love to win, but we hate losing even more. We aspire to be the best and take pride in our work. When we fall short, we own it and come back stronger.

The Software Engineer designs solutions and delivers features for our product platforms using AI tools throughout the development lifecycle. As part of a small, collaborative pod, this position is accountable for features end-to-end-leveraging AI assistance for specification, implementation, quality validation, deployment, and post-deployment support while ensuring quality outcomes at each stage. The Software Engineer interfaces with Technical PMs and fellow engineers to deliver scalable SaaS products with high velocity. This position also helps evolve our AI-assisted development practices and mentors Associate Engineers on effective AI tool usage.

What You'll Do

Own specification quality for assigned features - ensure specs are complete, unambiguous, and include acceptance criteria and edge cases

Collaborate with Technical PM to translate product requirements into detailed technical specifications

Use AI coding tools (Claude Code) to generate implementations from specifications

Review AI-generated code and peer contributions for correctness, security, and architectural alignment

Validate AI-generated tests and ensure comprehensive test coverage

Design performant software with a DevOps mindset that will scale as our volumes increase

Design and implement REST APIs following established patterns

Mentor Associate Engineers on effective AI tool usage and spec writing techniques

Share knowledge and experience with the team

Help evolve AI-assisted development practices including spec templates, prompt patterns, and validation workflows

Take ownership of domain knowledge within your pod\'s area

Support and maintain both UI and backend services within your pod\'s domain

Qualifications

Bachelor\'s degree in Computer Science (or equivalent experience), along with a firm understanding of data structures and scalable software design

3+ years of relevant software engineering experience designing and implementing scalable software in a product-centric environment Strong ability to write code in Java, JSP, Node.js, XML technologies

Ability to write and support code in HTML5, CSS/Sass, Angular,

React, TypeScript/Javascript, and other web technologies

Ability to design and implement REST APIs

Strong understanding of SQL and relational databases, such as SQL Server or MySQL

Well-honed skills in source control management using Git or similar

Demonstrated experience working with AI coding assistants (Claude Code, Windsurf, or similar)

Strong collaboration and verbal communication skills with ability to

work closely with Technical PMs and pod members to gather requirements and refine specifications

Strong code review skills with ability to validate correctness and identify issues in AI-generated and human-written code

Preferred

Experience with spec-driven, agentic AI workflows where engineers delegate autonomous tasks to AI tools and provide guidance and oversight

Knowledge of NoSQL data stores, such as MongoDB or DynamoDB

Knowledge of Elastic, Apache Solr and Lucene frameworks

Experience with AWS, Azure or a similar cloud platform

Experience mentoring junior engineers

Understanding of testable application design principles

Experience contributing to development process improvements