1. About Our Client:

The organization operates at the forefront of the financial technology (FinTech) sector, focusing on reducing the cost and complexity of borrowing for everyday consumers. By partnering strategically with traditional banks and community credit unions, the company expands broad access to affordable credit through a proprietary platform that utilizes advanced machine learning, artificial intelligence, and extensive non-traditional data signals. This state-of-the-art platform supports smarter, more accurate, and fairer lending decisions for millions of customers, driving tangible financial progress. As a forward-thinking, digitally-native organization, the company champions a highly flexible remote work environment with active hub presence across multiple major metropolitan cities.

2. About the Opportunity:

The Senior Software Engineer - Lending Platform will design, architect, and develop core backend systems that process massive volumes of financial transaction data and asynchronous events. This high-impact role is critical to ensuring the absolute accuracy, auditability, and mathematical reliability of downstream financial operations, accelerating global finance automation, and establishing a resilient technical foundation for future fintech platform investments. The position entails leading high-visibility engineering initiatives that masterfully balance long-term distributed platform development with near-term business expansion priorities.

3. Responsibilities:

• Design, build, scale, and operate highly resilient, distributed, event-driven systems supporting real-time accounting close automation and complex capital risk calculation workflows

• Develop highly scalable data processing pipelines that convert high-volume, high-concurrency financial events into highly accurate, deterministic business outcomes

• Collaborate deeply with cross-functional Product, Data Analytics, Corporate Finance, and core Engineering teams to define technical solutions for intricate financial compliance and capital market processes

• Continuously enhance the reliability, horizontal scalability, and long-term maintainability of critical financial core systems while proactively managing technical debt

• Lead multi-quarter, high-impact engineering projects autonomously from initial architectural design and proof-of-concept through to production deployment

• Strategic adoption and utilization of AI-assisted development tools (such as GitHub Copilot) to boost engineering velocity and productivity while maintaining strict code quality, enterprise security, and algorithmic correctness

4. Requirements:

• Minimum of four (4) years of progressive, professional software engineering experience building, monitoring, and operating highly available production systems

• Bachelor’s degree (BA/BS) in Computer Science, Software Engineering, Mathematics, or a related technical field preferred; or equivalent practical professional engineering experience

• Proven production-level experience designing and building distributed, fault-tolerant, event-driven applications within modern cloud environments (specifically Amazon Web Services - AWS)

• Demonstrated capability to develop scalable, highly concurrent backend services processing large volumes of data using modern programming languages (such as Java, Go, Python, or Scala)

• Expert skill level in designing, testing (unit, integration, and load testing), and deploying reliable production systems following modern software engineering best practices, CI/CD pipelines, and clean code principles

Preferred Qualifications:

• Domain knowledge of enterprise financial systems, double-entry accounting processes, capital markets, or capital risk management frameworks

• Prior hands-on experience working with high-throughput data processing engines or distributed event streaming platforms (such as Apache Kafka, AWS Kinesis, or Apache Flink)

• Proven ability to design system architectures that intelligently balance long-term scalability, low-overhead maintainability, and operational infrastructure cost efficiency

• Demonstrated success collaborating across multiple matrixed teams to deliver complex, cross-functional technical initiatives

• Enthusiastic interest in applying generative AI and LLM tools to optimize the software development lifecycle

5. Pay Range and Compensation Package:

• Target baseline salary framework: $166,900.00 to $230,900.00 USD annually

• Actual base pay within this tier varies dynamically based upon the candidate's localized geographic market scale, core architectural skills, system design depth, and educational background

• Total rewards portfolio features a highly competitive baseline salary paired with performance-driven target bonuses, lucrative equity grants, and a comprehensive benefits framework

6. Benefits & Perks:

• Elite, comprehensive health and welfare benefits package—including choice premium medical, dental, and vision insurance options—designed to support you and your dependents

• Secure retirement savings infrastructure featuring a competitive employer-matched 401(k) program

• Flexible, structured paid time off (PTO) allocations for vacation, personal health, and recognized corporate holidays

• Dedicated remote-work support infrastructure, including a monthly home office stipend, connectivity reimbursements, and access to co-working hub spaces across major cities

7. Equal Opportunity Statement:

Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.