About Us
Pearl is AI for professional services at global scale, combining advanced AI with verified human expertise to deliver help that is accurate, accountable, and fast. Since 2003, our network has connected millions of customers with licensed professionals across 196 countries, making real expertise available anytime, anywhere.
Our Values
- Data driven: Data decides, not egos
- Courageous: We take risks and challenge the status quo
- Innovative: We're constantly learning, creating, and adapting
- Lean: We focus on customers, using lean testing to learn how to serve them best
- Humble: Past success is not a guarantee of future success
About the Role
As a Middle Full-Stack Engineer (. NET) on the Pluto team within Finance - Payments, you will help build, maintain, and improve business-critical payment systems that support the full payment lifecycle. This role is ideal for a backend-leaning full stack engineer who enjoys solving complex technical problems while developing a deeper understanding of business logic and payment flows.
You’ll work on integrations with payment processors and third-party systems, support ongoing improvements to payment infrastructure, and help ensure our systems remain secure, reliable, and high quality. This is a strong opportunity for an engineer who is eager to grow long-term, expand domain expertise in payments, and contribute to systems that directly impact core business operations.
What You’ll Do
- Design, develop, maintain, and improve backend-focused payment solutions using C# and .NET.
- Integrate new payment processors and third-party systems to support evolving business needs.
- Contribute to payment-related flows across the lifecycle, including transactions, refunds, chargebacks, and related service interactions.
- Support ongoing refactoring and improvement of payment infrastructure to increase quality, resiliency, and maintainability.
- Write and maintain automated tests, including unit tests and, where applicable, integration tests.
- Work with complex SQL queries and data flows in a high-load environment where quality and performance matter.
- Help keep systems secure and aligned with PCI compliance requirements.
- Collaborate with teammates to understand business needs and translate them into reliable technical solutions.
- Use AI-assisted development tools to support engineering productivity and delivery.
- Participate in code reviews and contribute to strong engineering standards across the team.
What We’re Looking For
- Minimum of 3 years of professional experience in software engineering, with a backend focus.
- Proficiency in .NET frameworks, C#, and data access technologies.
- Knowledge of MS SQL, including working with more complex queries and performance-sensitive data scenarios.
- Familiarity with writing unit and integration tests (e.g., using Jest, NUnit, Playwright, React Testing Library, or similar frameworks).
- Knowledge of front-end technologies such as HTML5, CSS3, JavaScript, and TypeScript.
- Interest in learning the payments domain and developing an understanding of the business logic behind payment flows.
- Experience with LLMs / Generative AI tools (e.g., OpenAI, Copilot, Cursor).
- Experience with Web Page performance optimization and measurement will be a plus.
- Upper-intermediate level of English or higher.
Our Commitment to an Inclusive Workplace
We welcome people from all backgrounds who seek the opportunity to help build a future where professional services are readily available to all. If you have curiosity, passion, and a collaborative spirit, come work with us. Pearl is committed to an inclusive workplace. Pearl is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status.
AI Disclosure & Informed Consent
Artificial intelligence (AI) technology may be used during the hiring process to record, transcribe, analyze, and rank interview responses. By submitting your application and participating in the interview process, you acknowledge and consent to the use of AI technology in the hiring process. For more information see our AI Disclosure and Consent Policy.
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