FullStack Engineer
Location:
Remote (Global) - Preferred: US, Central Europe, LATAM
$3,000 - $5,000/month
About Dwilar
Dwilar is building the world's first unified global credit platform. We enable people to carry their credit reputation across borders, unlocking access to loans, rentals, and financial services anywhere. We operate in 50+ countries, integrate with 42+ credit bureaus, and are scaling toward 100+ markets.
The Role
We are hiring a Staff Software Engineer with 7-10 years of experience who thrives across product, platform, and applied AI engineering. You'll design and deliver systems that power instant credit assessments, drive AI-driven fraud and compliance detection, and create seamless cross-border user experiences.
Responsibilities
Platform Development
- Build responsive, high-performance web apps using React/Next.js, TypeScript, and Tailwind.
- Design and scale Python/FastAPI microservices with secure, well-documented REST APIs.
- Implement identity, permissions, and KYC/AML onboarding flows using Trulioo, Alloy, ComplyAdvantage, and similar partners.
- Integrate Open Banking APIs and design AI-driven credit workflows.
Infrastructure & AI Engineering
- Deploy and operate Dockerized microservices on Kubernetes in GCP environments.
- Architect and optimize serverless and data solutions on GCP (Cloud Functions, Cloud Run, Pub/Sub, BigQuery, Firestore, Cloud Storage).
- Build robust ETL/data pipelines supporting ML models and decision engines.
- Apply Vertex AI, custom ML pipelines, and RAG techniques to production applications.
Qualifications
Must-Have
- 7-10 years of full-stack engineering experience, with strong Python backend expertise (FastAPI, SQLAlchemy, REST APIs).
- Modern frontend experience (React/Next.js, TypeScript, Tailwind).
- Proven track record in designing scalable REST APIs (OAuth2, OpenID Connect).
- Proficiency with Docker, Kubernetes, and CI/CD pipelines.
- Deep hands-on experience with Google Cloud Platform (GCP).
- Practical understanding of AI/ML services and deploying production-grade solutions.
Preferred
- Degree in Computer Science, Engineering, or equivalent experience.
- Background in FinTech, banking, or financial services.
- Familiarity with compliance and data privacy standards (GDPR, PSD2, SOC2).
- Experience with fraud detection, risk scoring, and financial compliance systems.
Why Dwilar
- Build AI-powered financial systems used by lenders, banks, and global institutions.
- Contribute to infrastructure serving millions of users worldwide.
- Join a high-performing, globally distributed team across the US, EU, and LATAM.
- Competitive compensation, equity options, and full remote flexibility.
- Shape the backbone of global financial trust.
Dwilar is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
