Solflare

QA Engineer

• Own the testing strategy for assigned features and areas
• Decide the appropriate validation layers, including unit, component, integration, API, golden, E2E, accessibility, performance, security, manual, and exploratory testing
• Join discovery and specification reviews before development starts
• Clarify assumptions, surface edge cases, and identify risks and dependencies
• Design test cases as part of feature development covering user journeys, happy paths, edge cases, error handling, recovery, and regression
• Enable engineers to own their part of quality through test suites, regression packs, environments, and mock data
• Execute prepared test cases and conduct mandatory exploratory testing
• Maintain measurable test coverage per feature to support release decisions
• Improve automation strategy and QA processes by reducing flakiness, closing coverage gaps, and reducing repetitive manual regression
• Use AI/LLM tools for test case design, automation scripting, and exploratory testing
• Collaborate across Product, Engineering, and Data and take responsibility for testing strategy end to end

Senior Quality Engineer

• Own the testing strategy for assigned features and product areas
• Decide appropriate validation layers, including unit, component, integration, API, golden, E2E, accessibility, performance, security, manual, and exploratory testing
• Participate in discovery and specification reviews before development begins
• Clarify assumptions, surface edge cases, identify risks and dependencies, and ask failure-mode questions
• Design test cases as part of feature development
• Cover user journeys, happy paths, edge cases, error handling, recovery, and regression
• Enable engineers to own their part of quality through test suites, regression packs, environments, and mock data
• Execute prepared test cases and conduct mandatory exploratory testing
• Maintain a living view of test coverage for each feature
• Support release decisions using measurable confidence
• Continuously improve automation strategy and QA processes
• Reduce flakiness, close coverage gaps, and reduce repetitive manual regression
• Expand exploratory, accessibility, security, and performance testing
• Use AI/LLM tools for test case design, automation scripting, and exploratory testing
• Collaborate across Product, Engineering, and Data
• Take responsibility for testing strategy end to end

Data Analyst

• Gather data from databases, APIs, and spreadsheets
• Ensure data is accurate, complete, and relevant to business questions
• Contribute to data pipelines and maintain transformation logic for analysis-ready datasets
• Use statistical techniques and data visualization to uncover trends, patterns, and correlations
• Create dashboards, reports, and charts for stakeholders
• Collaborate with product managers, engineers, and stakeholders to define key metrics
• Provide data-driven recommendations that shape the product roadmap
• Ensure data is secure, well-documented, and accessible
• Analyze on-chain and off-chain product data to understand user journeys, retention, churn, market share, and product opportunities

Senior Data Analyst

• Gather data from databases, APIs, and spreadsheets and ensure it is accurate, complete, and relevant
• Contribute to the data pipeline by building and maintaining transformation logic for analysis-ready datasets
• Use statistical techniques and data visualization to uncover trends, patterns, and correlations
• Create dashboards, reports, and charts that communicate findings clearly
• Work with product managers, engineers, and stakeholders to define key metrics and provide data-driven recommendations
• Ensure data is secure, well-documented, and accessible
• Analyze on-chain and off-chain product data to understand user journeys, retention, churn, market share, competing products, asset movement, and product opportunities
• Influence product improvements, new features, integrations, and market expansion strategy

• Own the testing strategy for assigned features and areas
• Decide which validation occurs at each layer, including unit, component, integration, API, golden, E2E, accessibility, performance, security, manual, and exploratory testing
• Participate in discovery and specification reviews before development begins
• Clarify assumptions, identify edge cases, risks, and dependencies
• Design test cases as part of feature development, covering user journeys, happy paths, edge cases, error handling, recovery, and regression
• Enable engineers to own their part of quality by providing test suites, regression packs, environments, and mock data
• Execute prepared test cases and conduct mandatory exploratory testing
• Maintain a living view of test coverage for each feature
• Improve automation strategy and QA processes
• Reduce flakiness, close coverage gaps, reduce repetitive manual regression, and support exploratory, accessibility, security, and performance testing
• Use AI/LLM tools for test case design, automation scripting, and exploratory testing
• Collaborate across Product, Engineering, and Data

• Gather data from databases, APIs, and spreadsheets
• Ensure collected data is accurate, complete, and relevant to business questions
• Contribute to the data pipeline
• Build and maintain transformation logic that converts raw data into analysis-ready datasets
• Use statistical techniques and data visualization to uncover trends, patterns, and correlations
• Create dashboards, reports, and charts
• Work with product managers, engineers, and stakeholders to define key metrics
• Provide data-driven recommendations that shape the product roadmap
• Ensure data is secure, well-documented, and accessible
• Analyze on-chain blockchain data and off-chain product data to understand the full user journey
• Identify behavioral patterns related to retention or churn and opportunities for products, features, and integrations