Full Stack Developer

Quavo is the industry leader in fraud and disputes management technology, offering the world’s only E2E cloud-based Disputes as a Service solution for issuing financial services organizations. Quavo is an organization of tenacious experts who are innovative and challenge complacency to continuously deliver cutting edge technology and AI. Our experts are passionate about delivering value in our solutions and empowering our client community to enhance and evolve industry standards in fraud and disputes management.

Quavo is looking for authentic and courageous professionals to join our team. If you are a driven, accountable, and innovative problem solver searching for a collaborative environment of like-minded teammates dedicated to improving the client experience… Then you are going to love working at Quavo!

You will work closely with a Senior Product Manager (Data/API) who owns the strategy and roadmap for Quavo’s data platform and API-driven products. This Product Manager defines API contracts, data schemas, SLA targets, integration patterns, and relies on a strong engineering partner to turn those definitions into a reliable, scalable reality.

Success in this role means building a trusted partnership with the Product team: translating requirements into technical solutions, surfacing engineering constraints early, and co‑owning delivery outcomes across data pipelines, APIs, and platform reliability.

We look for people who are Innovative — who act, learn, and improve with pace and intent — and Accountable — who own outcomes from decision to result. If you thrive in an environment where your technical decisions have real impact and autonomy is the norm, this role is for you.

This role is not sponsorship eligible. Applicants must be legally authorized to work in the United States without employer visa sponsorship, now or in the future. This includes OPT, STEM OPT, CPT, H-1B, or any other visa requiring employer sponsorship or support.

• Design, build, and maintain scalable data pipelines and ETL/ELT processes that support real‑time and batch data flows across Quavo's platform
• Implement and optimize Snowflake schemas, including dimensional models, ER design, and normalization strategies aligned to API and reporting needs
• Translate data product requirements — API contracts, data schemas, and SLA targets — into production‑grade implementations
• Monitor data quality, pipeline reliability, and latency; define and enforce data contracts to ensure consistency across consumers

• Develop and maintain RESTful APIs that expose data platform capabilities to internal teams and external partners
• Partner with the Product Manager on API versioning, deprecation policies, and developer‑facing documentation
• Build integrations with financial systems and third‑party data providers, ensuring data integrity and regulatory compliance

• Lead end‑to‑end delivery of releases, patches, and hotfixes for Node.js applications deployed on AWS
• Design software solutions that align architecture and cloud services with the overall IT and AWS strategy
• Build and maintain front‑end interfaces (Vue/Vuetify, HTML5, CSS3) that surface data insights to end users

• 5+ years of full stack development experience with a meaningful focus on data‑intensive applications, including hands‑on ownership of data pipelines, ETL/ELT processes, or API‑driven data products in production
• Proficiency with Snowflake or similar platforms such as;
  Redshift, Azure Synapse or Databricks, including schema design, query optimization, and working with large datasets across real‑time and batch processing patterns
• Hands‑on experience with AWS services: EC2, S3, Lambda, and DynamoDB
• Familiarity with CI/CD pipelines using Bitbucket and Bitbucket Pipelines

• AWS certification (e.g., AWS Certified Developer or AWS Certified Data Analytics)
• Experience with Docker and container orchestration (e.g., Kubernetes)
• Financial industry experience, particularly in fintech, payments, disputes, or fraud
• Exposure to data observability tooling, data quality frameworks, or data contract implementations
• Experience contributing to AI/ML‑adjacent data products or feature pipelines