Lead Software Engineer
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Job Description
Lead Software Engineer guiding AI-assisted development of scalable SaaS products for Billtrust’s B2B accounts receivable platform. Designing REST APIs, reviewing AI-generated code, and mentoring engineers across domain-aligned cohorts.
Responsibilities:
- Provide technical leadership within a domain-aligned cohort, guiding engineers in spec-driven, AI-assisted development
- Own specification quality for complex features, addressing edge cases and non-functional requirements
- Translate business requirements into detailed technical specifications with Product Managers and stakeholders
- Lead AI-assisted implementation using tools such as Claude Code
- Review AI-generated and peer code for correctness, security, performance, and architectural alignment
- Validate AI-generated tests and ensure comprehensive test coverage
- Drive AI workflow standards and advise on development tools and technologies
- Create scalable software designs with a DevOps mindset
- Design and implement REST APIs
- Support and maintain UI and backend services
- Lead technical decisions and own domain expertise
- Mentor engineers on AI tool usage, specification writing, and code review practices
- Partner with the Engineering Manager on cohort health and delivery
Requirements:
- 7+ years of relevant software engineering experience
- At least 2 years designing and implementing enterprise SaaS systems
- Bachelor’s degree in Computer Science or equivalent experience
- Firm understanding of data structures and scalable software design
- Mastery of C#, C++, PHP, Java, Node.js, or a similar high-level language
- Proficiency in HTML5, CSS/Sass, Angular, React, TypeScript/JavaScript, and other web technologies
- Strong ability to design and implement REST APIs
- Strong understanding of SQL and relational databases such as SQL Server or MySQL
- Proficiency in multiple persistence technologies, including NoSQL and indexed files
- Demonstrated experience with AI coding assistants such as Claude Code, Codex, Cursor, or similar
- Strong code review skills for AI-generated and human-written code
- Experience mentoring engineers and translating business requirements into technical specifications
- Well-honed source control skills using Git or similar
- Experience with AWS, Azure, or a similar cloud platform
- Preferred: experience with spec-driven, agentic AI workflows
- Preferred: experience establishing AI development practices or standards across teams
- Preferred: understanding of testable application design principles
- Preferred: track record of advising on productivity-enhancing tools and technologies
Benefits:
- Comprehensive health coverage
- Competitive retirement
- Generous PTO
- Parental leave
- Flexible work options
- Meaningful investment in professional development
- Potential eligibility for equity, commissions, or other variable performance-related bonuses
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