Lead Software Engineer – Payments

Bonterra

Lead Software Engineer at Bonterra driving technical health for the Payments Platform. Own architecture and quality, enabling social good organizations with reliable payment solutions.

Posted 6/11/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $110,000 - $145,000 per yearWebsite

Tech Stack

Tools & technologies

AWSJavaScriptNode.jsTypeScript

About the role

Key responsibilities & impact

Own technical health and quality for the Payments Platform: architecture decisions, sprint processes, release cycles, and release quality
Set team norms for spec-driven development and AI-assisted delivery; proactively improve specs and practices when AI output falls short of quality standards
Drive architecture decisions across API gateway and auth, EventBridge/FundraisingBus event infrastructure, webhooks, and Reporting & Reconciliation
Ensure API and event schemas are designed for durability, extensibility, and idempotency at financial-grade correctness standards
Partner with the Platform Director on technical sequencing and roadmap delivery
Collaborate with leads in Online Contribution and Corporate Giving on cross-domain integration points
Design and build agents to automate repeatable platform engineering workflows, reducing manual overhead for the team
Ensure team knowledge is structured, current, and consolidated so agents and engineers can operate without ambiguity
Mentor engineers on the platform team; participate in interviewing and candidate evaluation
Remove systemic sources of build, test, deployment, and integration friction that limit AI-assisted delivery

Requirements

What you’ll need

7+ years of software engineering experience, with 2+ years in a lead or technical leadership role
Deep expertise in payments systems and event-driven architecture; experience with payment provider integrations (Stripe strongly preferred)
Strong TypeScript and Node.js in production; experience with AWS serverless infrastructure (Lambda, SQS, EventBridge, Aurora Serverless or equivalent)
Understanding of financial correctness requirements—idempotency, duplicate detection, reconciliation, and partial failure handling
AI-first mindset: actively uses AI coding tools, writes specs that enable AI-generated code, evaluates AI output for correctness and technical debt
Track record of owning end-to-end delivery quality for a platform or product area
Strong communication and collaboration skills across product and engineering teams
Passion for empowering the social good sector through technology

Benefits

Comp & perks

Comprehensive benefits package that supports health, well-being and growth

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

TypeScriptNode.jspayments systemsevent-driven architectureAPI designAI-assisted deliveryautomationfinancial correctnessidempotencyduplicate detection

Soft Skills

communicationcollaborationmentoringleadershipproblem-solvingorganizational skillsproactive improvementteam norms settingknowledge structuringcandidate evaluation