Backend Engineer – Data Marketplace

About the role

As a backend engineer starting your career, you will contribute to the expansion and improvement of our Data Marketplace and integration engine. These systems enable customers to access, evaluate, and combine data providers at scale, powering millions of automated decisions every day.

What you'll do

• Build and maintain backend components in Python on AWS—from integrations to orchestration layers—while learning best practices in code quality, testing, and keeping CI/CD fast and reliable.
• Support outcomes for the Data Marketplace: help onboard providers, implement versioning strategies, and contribute to efforts that reduce time-to-new-integration while maintaining reliability and cost-effectiveness.
• Follow and apply integration standards: learn to work with API contracts/SDKs, resilience patterns (idempotency, retries, backoff), and operational guardrails that scale to millions of daily decisions.
• Collaborate on projects from discovery to production launch—participating in RFCs, validating with prototypes, aligning stakeholders, and contributing to changes with observable impact.
• Improve reliability and performance: support SLOs, instrumentation (tracing/metrics/logging), dashboards, and runbooks while gaining hands-on experience in reducing latency and improving MTTR.
• Grow with mentorship: participate in design reviews, pair programming, and documentation efforts while learning from senior engineers.
• Collaborate in the open: join daily syncs, planning, demos, and deep-dives; work with Product, Security, and Customer teams to turn real-world needs into simple, robust solutions.

What you'll need

• Hands-on experience programming in Python (through coursework, projects, or internships).
• Exposure to public cloud environments (AWS preferred).
• Fluency in English, both written and spoken, is essential as we operate in a hybrid environment requiring clear and effective communication.
• Strong foundational knowledge in computer science or software engineering and a passion for simplicity, quality, and ownership.

Nice to have

• Exposure to serverless and event-driven architectures (e.g., Lambda, queues, streams).
• Basic observability practices (tracing, metrics, structured logging).
• Familiarity with AI-assisted development and code generation.
• Fintech domain exposure (KYC, credit bureaus, fraud-prevention APIs).
• Experience with internships, personal projects, or open-source contributions in backend development.

What they offer

• Top-of-market equity and cash compensation package
• Self-development budget for conferences, books or classes
• New Apple MacBook Pro and home office setup
• Experience a truly flat hierarchy and communicate directly with founding team members
• Learn from experienced mentors and achieve tremendous personal and professional growth
• Access to network of leading tech investors and advisors around the globe