Senior Backend Engineer (JavaScript and Python) for Iris Finance
About Iris Finance
Iris Finance is a venture-backed AI-powered platform built specifically for consumer brands. It connects to sources like banks, POS systems, and advertising platforms to deliver daily profit & loss snapshots, cash flow plans, and peer benchmarking - all in real time. With integrations across finance, e‑commerce, and marketing tools, Iris provides the clarity and automation brands need to grow confidently
What You’ll Do
- Design, implement, and maintain core backend services using JavaScript and Python.
- Deliver end-to-end integrations, owning the full lifecycle from design and architecture through implementation and deployment.
- Make architecture decisions - defining data models, and ensuring systems are scalable, maintainable, and secure.
- Build and manage reliable API endpoints, ensuring smooth data flow between internal systems.
- Write clean, well-tested code to process and transform financial data.
- Monitor service health, troubleshoot issues, and ensure system reliability and performance.
- Partner with product, data, and frontend teams to define integration requirements and API contracts.
- Create tools and dashboards to track system usage, performance, and data integrity.
Review and improve code quality, and contribute to best practices in testing, documentation, and deployment.
What We’re Looking For
- Demonstrated ability to work independently - managing your own workload, making decisions, and delivering results without heavy oversight.
- 4+ years of professional experience in software engineering, focused on back-end, integration, or data engineering roles.
- Proficiency in JavaScript (Node.js) and Python, with experience building RESTful APIs.
Hands-on integration experience with external APIs (OAuth, pagination, webhook handling, rate limiting, retries, etc.). - Strong data modeling skills — familiarity with JSON, SQL/NoSQL, schemas, data validation, and transformations.
- Experience with cloud infrastructure (AWS, GCP, or similar) and containerization (Docker, Kubernetes).
- Excellent debugging and monitoring practices: logging, metrics, tracing, and automated alerting.
- Strong communication & collaboration skills; ability to work with cross-functional teams.
- Bonus: Familiarity with financial systems (accounting platforms, bank APIs, POS systems) and ML-enhanced data pipelines.
What We Offer
- Competitive salary aligned with market standards, with annual salary reviews.
- A friendly, collaborative startup environment where you can drive impact in a mission-critical space for growing consumer brands.
- High-growth opportunity - join early and help shape a cutting-edge product used by high-velocity, finance-driven companies.
- Access to modern tech stack, including serverless/cloud-native solutions, event-driven pipelines, and experimentation with LLMs/AI for data validation.
- Generous time off, flexible work arrangements, and commitment to work-life balance.
Published 2 July
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$4000-6000
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