Lumnix

About the Client

Our client, global FinTech startup, is building a modern financial intelligence platform that helps teams analyze performance, forecasts, and operational metrics across time. Our product focuses on correctness, trust, and clarity, especially when dealing with financial and analytical data.

We are early-stage but live, with real users and real data. Quality is not optional.
 

Role Overview

We are looking for a Manual QA Engineer with 3+ years of experience to take ownership of quality across the client's product.

This is our first dedicated QA role. You will not just execute test cases - you will help define how manual QA is done at Iris, working closely with Product and Engineering to ensure releases are stable, predictable, and well-tested. This role is hands-on, collaborative, and impact-driven.
 

What You Will Do

• Own manual testing for new features, improvements, and bug fixes
  Validate complex user workflows, including:
  • Data ingestion and connector setup
  • Metrics configuration, overrides, and calculations
  • Time-based grouping (daily, weekly, monthly, quarterly, yearly)
  • Forecasting and reporting views
• Design, document, and maintain:
  • Test cases
  • Test scenarios
  • Regression checklists
• Perform data validation using SQL, including querying PostgreSQL tables to verify data accuracy, comparing UI results with source data, validating aggregations, calculations, and edge cases
• Perform exploratory testing to uncover edge cases and data issues
• Verify UI/UX consistency across browsers and screen sizes
• Validate API responses and data correctness where relevant
• Report bugs with clear reproduction steps, expected vs actual results, and supporting evidence
• Collaborate closely with:
  • Product on requirements clarity
  • Engineering on defect triage and release readiness
• Support release sign-off and post-release verification
   

Required Skills & Experience

• 3+ years of experience in manual QA for web applications
• Strong experience testing: data-heavy and user-facing web interfaces
• Experience testing systems built as modular backends rather than isolated microservices
• Solid understanding of:
  • Web application behavior
  • REST APIs (basic validation and inspection)
  • Cross-browser testing
• Proven ability to write clear, structured test cases and to produce high-quality bug reports
• Comfortable working in evolving, fast-moving product environments
• Strong attention to detail and analytical thinking
   

Nice to Have

• Experience with financial, analytics, or reporting platforms
• Basic SQL knowledge (read-only queries, data verification)
• Familiarity with React-based frontends
• Exposure to PostgreSQL or similar relational databases
• Experience working in early-stage or startup environments
   

What Success Looks Like in the First 90 Days

• Strong understanding of client's product flows and data behavior
• A reliable regression testing checklist in place
• Fewer last-minute surprises before releases
• Clear, actionable QA feedback trusted by Engineering
• Improved confidence in production releases

About the client

Our client 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.
• 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

• 5+ years of professional experience in software engineering, focused on back-end, integration, or data engineering roles.
• Proficiency in JavaScript (Node.js, NestJS) 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.