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BILL · 6 hours ago

Software Engineer II - Payments Platform

San Jose, CA

Full-time

Hybrid

Mid Level

$126K/yr - $152K/yr

3+ years exp

BILL is a rapidly growing fintech company that empowers businesses by replacing outdated financial processes with innovative tools. They are seeking a passionate engineer to join their payment teams, which are responsible for building key components for their payment platform and driving payment innovation.

AppsBillingFinancial ServicesFinTechSaaS

No H1B

Responsibilities

Collaborate with peer developers, product managers, designers, architects, data scientists, and various business partners to enable businesses to thrive by offering intelligent payment choices & products to optimize their cash flow needs

Work within critical payment systems

Advocate for scalability, reliability, security, and engineering best practices within the team

Participate in team meetings and technical discussions to help drive continuous improvement

Qualification

JavaSpring BootAWS cloud servicesMicroservices architectureSQL/NoSQL databasesRESTful APIsCI/CD pipelinesInfrastructure as CodeTroubleshootingAdvocacy for best practicesGen AI technologiesCollaboration

Required

3 years experience developing and supporting scalable payment systems using Java, Spring Boot, AWS cloud services

Exposure to microservices architecture, messaging queues, event streaming, SQL/NoSQL databases, RESTful APIs, and CI/CD pipelines

Integrating with third-party payment providers through APIs, messaging, and event-driven architectures

Diagnosing and troubleshooting issues in live production environments

Experience in automating deployment, testing, and infrastructure management using Infrastructure as Code (IaC) tools

Collaborate with product and business teams to drive payment innovation and align technical solutions with business goals

Work within critical payment systems

Advocate for scalability, reliability, security, and engineering best practices within the team

Participate in team meetings and technical discussions to help drive continuous improvement

Experience leveraging Gen AI technologies to accelerate software engineering by designing prompts, rigorously evaluating outputs, and integrating LLMs