About GoQuant GoQuant is a financial technology company dedicated to providing high-performance trading solutions for digital assets. We empower professional traders and institutions with a comprehensive suite of tools, including an advanced Order Execution and Management System (OEMS), high-quality Market Data services, and a robust Portfolio and Risk Management System (PMS/RMS). Our focus is on delivering lightning-fast execution, ensuring private and secure trading environments, and offering sensible, fixed-fee structures. By integrating with a wide array of venues including centralized and decentralized exchanges, prime brokers, and market makers, GoQuant enables clients to maximize their trading potential with clean, reliable data and cutting-edge technology. Role Summary We are seeking a talented and experienced UI/UX Designer to join our dynamic team. The ideal candidate will be responsible for designing intuitive, engaging, and effective user interfaces for our trading platforms and related financial applications. You will work closely with product managers, engineers, and other stakeholders to translate complex requirements into elegant and user-friendly design solutions. Your primary focus will be on enhancing user satisfaction by improving the usability, accessibility, and overall aesthetic of our products. Key Responsibilities - Design and deliver wireframes, user stories, user journeys, mockups, and interactive prototypes for complex trading applications. - Collaborate with product management and engineering teams to define and implement innovative solutions for the product direction, visuals, and experience. - Execute all visual design stages from concept to final hand-off to engineering. - Conceptualize original ideas that bring simplicity and user-friendliness to complex design roadblocks. - Conduct user research and evaluate user feedback to enhance and polish solutions. - Establish and promote design guidelines, best practices, and standards. - Iterate on designs based on user feedback, data analysis, and usability testing. - Ensure designs are consistent with brand identity and overall product strategy. - Stay up-to-date with the latest UI/UX trends, techniques, and technologies, particularly in the fintech space. - Effectively communicate design ideas and prototypes to developers and stakeholders. Required Skills & Qualifications - Proven UI/UX design experience with a strong portfolio showcasing your work on web applications, particularly data-intensive or financial platforms. - Proficiency in Figma is essential for creating high-fidelity mockups, prototypes, and design specifications. - Must be proficient in front-end technologies including React, Next.js, CSS, and Tailwind CSS. - Solid understanding of user-centered design principles and best practices. - Knowledge and practical experience with AI-assisted design tools and technologies (e.g., v0.dev or similar) for rapid prototyping and UI generation. - Ability to design for complex information systems, ensuring clarity, usability, and efficiency. - Experience with creating wireframes, storyboards, user flows, process flows, and site maps. - Excellent visual design skills with sensitivity to user-system interaction. - Strong problem-solving skills and the ability to translate complex requirements into intuitive user experiences. - Good communication skills to articulate design decisions and collaborate effectively with cross-functional teams. - Bachelor's degree in Design, Human-Computer Interaction (HCI), or a related field, or equivalent practical experience. Preferred Skills & Qualifications - Experience designing interfaces for trading platforms or financial data analysis tools. - Experience conducting user research and usability testing. - Ability to work in an agile development environment. Show more Show less
Front-End Software Engineer (Python/JavaScript) GoQuant Technologies Inc. About Us GoQuant Technologies develops innovative solutions that enhance profitability and ease of use for digital asset traders and researchers. Our key products include GoMarket, a subscription-based service delivering low-latency digital asset data, and GoTrade, a comprehensive trading platform. Our tech stack includes C++, Python, and modern front-end frameworks like NextJS. Role Overview We are seeking a talented and motivated Front-End Software Engineer with strong proficiency in Python and JavaScript to join our core development team. This is a full-time position offering the opportunity to contribute directly to the design and development of data visualization tools, trading interfaces, and real-time financial dashboards. You’ll work closely with our Project Manager and Full-Stack Developer to build and refine user-facing applications in a fast-paced fintech environment. Remote applicants are welcome. Responsibilities Develop and maintain front-end components for trading tools, dashboards, and analytics platforms. Collaborate with engineering leadership and full-stack developers on new features and product direction. Translate UI/UX designs from tools like Figma and Adobe XD into responsive, production-ready code. Provide feedback on product architecture and user experience. Build user-friendly data visualization interfaces integrated with real-time backend systems. Participate in bug fixing, performance tuning, and UI enhancements. Support ongoing updates to GoQuant’s websites and client-facing platforms. Qualifications Strong proficiency in HTML, CSS, JavaScript, and Python. Experience with modern front-end frameworks (React, NextJS, etc.). Skilled in UI/UX implementation with tools like Figma or Adobe XD. Familiarity with databases such as MySQL or MongoDB. Experience building responsive and accessible interfaces. Working knowledge of cloud platforms (AWS, Azure) is a plus. Ability to thrive in a fast-moving, results-oriented environment. Excellent communication, problem-solving, and teamwork skills. Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience). What We Offer Competitive compensation and benefits Remote flexibility High-impact role with direct product ownership Collaborative, high-performance team environment Exposure to cutting-edge fintech tools and workflows Potential for equity in a fast-growing startup How to Apply Please apply through the platform where this job posting is found (e.g., LinkedIn). Applications will be acknowledged within 48 hours. Candidates selected for interviews will be contacted within 7 days. Equal Opportunity Employer GoQuant Technologies is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Job Description: QA Engineer (Paid) About GoQuant GoQuant is a financial technology company dedicated to providing high-performance trading solutions for digital assets. We empower professional traders and institutions with a comprehensive suite of tools, including an advanced Order Execution and Management System (OEMS), high-quality Market Data services, and a robust Portfolio and Risk Management System (PMS/RMS). Our focus is on delivering lightning-fast execution, ensuring private and secure trading environments, and offering sensible, fixed-fee structures. By integrating with a wide array of venues including centralized and decentralized exchanges, prime brokers, and market makers, GoQuant enables clients to maximize their trading potential with clean, reliable data and cutting-edge technology. Role Summary We are seeking a highly skilled and detail-oriented QA Engineer to join our dynamic team. The ideal candidate will be responsible for ensuring the quality, reliability, and performance of our trading platforms and financial applications through comprehensive testing strategies and automation frameworks. You will work closely with development teams, product managers, and other stakeholders to translate complex business requirements into robust testing solutions. Your primary focus will be on maintaining the highest standards of software quality while contributing to the full software development lifecycle from requirements analysis to production deployment. Key Responsibilities - Participate in the full software development lifecycle, from requirements analysis to implementation and maintenance. - Translate complex business requirements into detailed technical specifications and comprehensive test implementation plans. - Design and develop automated testing frameworks and tools using C++, Python, and JavaScript for critical trading systems. - Create and maintain comprehensive test suites for critical trading components, ensuring coverage of functional, performance, and edge-case scenarios. - Develop benchmarking tools for measuring system performance, latency, and throughput in high-frequency trading environments. - Contribute to architectural discussions and provide direct input in design decisions to ensure testability and quality from the ground up. - Provide technical support for client implementations and troubleshooting complex production issues. - Implement and maintain continuous integration/deployment pipelines with integrated testing automation. - Build monitoring solutions for system performance, reliability, and quality metrics in production environments. - Write production-quality code for new testing features, tools, and quality improvements. - Collaborate with development teams to optimize critical execution paths and identify performance bottlenecks. - Create detailed technical documentation for testing procedures, frameworks, and quality standards for both internal and external use. - Conduct thorough regression testing and validate system behavior across multiple trading venues and market conditions. - Establish and promote quality assurance best practices, testing standards, and methodologies across the organization. Required Skills & Qualifications - Proven QA engineering experience with a strong background in testing complex, high-performance financial or trading systems. - Proficiency in multiple programming languages including C++, Python, and JavaScript for developing testing frameworks and automation tools. - Strong experience with automated testing frameworks and tools (e.g., pytest, Jest, Google Test, or similar). - Solid understanding of software testing methodologies, including unit testing, integration testing, performance testing, and load testing. - Experience with continuous integration/continuous deployment (CI/CD) pipelines and tools such as GitHub Actions. - Knowledge of performance testing and benchmarking tools for low-latency systems. - Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack). - Strong understanding of software development lifecycle (SDLC) and agile methodologies. - Ability to design and implement comprehensive test strategies for complex distributed systems. - Experience with API testing, database testing, and microservices testing. - Excellent problem-solving skills and attention to detail in identifying edge cases and potential system failures. - Strong communication skills to collaborate effectively with cross-functional teams and document technical findings. - Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience. Preferred Skills & Qualifications - Experience with testing trading platforms, financial data systems, or high-frequency trading applications. - Knowledge of financial markets, trading protocols, and exchange connectivity (FIX protocol, WebSocket APIs). - Experience with containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP). - Familiarity with message queue systems (Kafka, RabbitMQ) and real-time data processing. - Experience with security testing and compliance requirements in financial services. - Knowledge of database systems (PostgreSQL, Redis, InfluxDB) and data validation techniques. - Experience with chaos engineering and fault injection testing. - Understanding of network protocols and low-level system optimization. - Experience with test data management and synthetic data generation. How to Apply: If you’re interested in this position, please apply! Candidates who may not meet all the qualification criteria are still encouraged to apply. We are looking for passionate, eager learners who are excited about the project at hand. You can apply via the platform where you found this job posting (e.g., LinkedIn). GoQuant Technologies Incorporated is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Job Description: QA Engineer (Paid) About GoQuant GoQuant is a financial technology company dedicated to providing high-performance trading solutions for digital assets. We empower professional traders and institutions with a comprehensive suite of tools, including an advanced Order Execution and Management System (OEMS), high-quality Market Data services, and a robust Portfolio and Risk Management System (PMS/RMS). Our focus is on delivering lightning-fast execution, ensuring private and secure trading environments, and offering sensible, fixed-fee structures. By integrating with a wide array of venues including centralized and decentralized exchanges, prime brokers, and market makers, GoQuant enables clients to maximize their trading potential with clean, reliable data and cutting-edge technology. Role Summary We are seeking a highly skilled and detail-oriented QA Engineer to join our dynamic team. The ideal candidate will be responsible for ensuring the quality, reliability, and performance of our trading platforms and financial applications through comprehensive testing strategies and automation frameworks. You will work closely with development teams, product managers, and other stakeholders to translate complex business requirements into robust testing solutions. Your primary focus will be on maintaining the highest standards of software quality while contributing to the full software development lifecycle from requirements analysis to production deployment. Key Responsibilities - Participate in the full software development lifecycle, from requirements analysis to implementation and maintenance. - Translate complex business requirements into detailed technical specifications and comprehensive test implementation plans. - Design and develop automated testing frameworks and tools using C++, Python, and JavaScript for critical trading systems. - Create and maintain comprehensive test suites for critical trading components, ensuring coverage of functional, performance, and edge-case scenarios. - Develop benchmarking tools for measuring system performance, latency, and throughput in high-frequency trading environments. - Contribute to architectural discussions and provide direct input in design decisions to ensure testability and quality from the ground up. - Provide technical support for client implementations and troubleshooting complex production issues. - Implement and maintain continuous integration/deployment pipelines with integrated testing automation. - Build monitoring solutions for system performance, reliability, and quality metrics in production environments. - Write production-quality code for new testing features, tools, and quality improvements. - Collaborate with development teams to optimize critical execution paths and identify performance bottlenecks. - Create detailed technical documentation for testing procedures, frameworks, and quality standards for both internal and external use. - Conduct thorough regression testing and validate system behavior across multiple trading venues and market conditions. - Establish and promote quality assurance best practices, testing standards, and methodologies across the organization. Required Skills & Qualifications - Proven QA engineering experience with a strong background in testing complex, high-performance financial or trading systems. - Proficiency in multiple programming languages including C++, Python, and JavaScript for developing testing frameworks and automation tools. - Strong experience with automated testing frameworks and tools (e.g., pytest, Jest, Google Test, or similar). - Solid understanding of software testing methodologies, including unit testing, integration testing, performance testing, and load testing. - Experience with continuous integration/continuous deployment (CI/CD) pipelines and tools such as GitHub Actions. - Knowledge of performance testing and benchmarking tools for low-latency systems. - Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack). - Strong understanding of software development lifecycle (SDLC) and agile methodologies. - Ability to design and implement comprehensive test strategies for complex distributed systems. - Experience with API testing, database testing, and microservices testing. - Excellent problem-solving skills and attention to detail in identifying edge cases and potential system failures. - Strong communication skills to collaborate effectively with cross-functional teams and document technical findings. - Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience. Preferred Skills & Qualifications - Experience with testing trading platforms, financial data systems, or high-frequency trading applications. - Knowledge of financial markets, trading protocols, and exchange connectivity (FIX protocol, WebSocket APIs). - Experience with containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP). - Familiarity with message queue systems (Kafka, RabbitMQ) and real-time data processing. - Experience with security testing and compliance requirements in financial services. - Knowledge of database systems (PostgreSQL, Redis, InfluxDB) and data validation techniques. - Experience with chaos engineering and fault injection testing. - Understanding of network protocols and low-level system optimization. - Experience with test data management and synthetic data generation. How to Apply: If you’re interested in this position, please apply! Candidates who may not meet all the qualification criteria are still encouraged to apply. We are looking for passionate, eager learners who are excited about the project at hand. You can apply via the platform where you found this job posting (e.g., LinkedIn). GoQuant Technologies Incorporated is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Job Description: QA Engineer (Paid) About GoQuant GoQuant is a financial technology company dedicated to providing high-performance trading solutions for digital assets. We empower professional traders and institutions with a comprehensive suite of tools, including an advanced Order Execution and Management System (OEMS), high-quality Market Data services, and a robust Portfolio and Risk Management System (PMS/RMS). Our focus is on delivering lightning-fast execution, ensuring private and secure trading environments, and offering sensible, fixed-fee structures. By integrating with a wide array of venues including centralized and decentralized exchanges, prime brokers, and market makers, GoQuant enables clients to maximize their trading potential with clean, reliable data and cutting-edge technology. Role Summary We are seeking a highly skilled and detail-oriented QA Engineer to join our dynamic team. The ideal candidate will be responsible for ensuring the quality, reliability, and performance of our trading platforms and financial applications through comprehensive testing strategies and automation frameworks. You will work closely with development teams, product managers, and other stakeholders to translate complex business requirements into robust testing solutions. Your primary focus will be on maintaining the highest standards of software quality while contributing to the full software development lifecycle from requirements analysis to production deployment. Key Responsibilities - Participate in the full software development lifecycle, from requirements analysis to implementation and maintenance. - Translate complex business requirements into detailed technical specifications and comprehensive test implementation plans. - Design and develop automated testing frameworks and tools using C++, Python, and JavaScript for critical trading systems. - Create and maintain comprehensive test suites for critical trading components, ensuring coverage of functional, performance, and edge-case scenarios. - Develop benchmarking tools for measuring system performance, latency, and throughput in high-frequency trading environments. - Contribute to architectural discussions and provide direct input in design decisions to ensure testability and quality from the ground up. - Provide technical support for client implementations and troubleshooting complex production issues. - Implement and maintain continuous integration/deployment pipelines with integrated testing automation. - Build monitoring solutions for system performance, reliability, and quality metrics in production environments. - Write production-quality code for new testing features, tools, and quality improvements. - Collaborate with development teams to optimize critical execution paths and identify performance bottlenecks. - Create detailed technical documentation for testing procedures, frameworks, and quality standards for both internal and external use. - Conduct thorough regression testing and validate system behavior across multiple trading venues and market conditions. - Establish and promote quality assurance best practices, testing standards, and methodologies across the organization. Required Skills & Qualifications - Proven QA engineering experience with a strong background in testing complex, high-performance financial or trading systems. - Proficiency in multiple programming languages including C++, Python, and JavaScript for developing testing frameworks and automation tools. - Strong experience with automated testing frameworks and tools (e.g., pytest, Jest, Google Test, or similar). - Solid understanding of software testing methodologies, including unit testing, integration testing, performance testing, and load testing. - Experience with continuous integration/continuous deployment (CI/CD) pipelines and tools such as GitHub Actions. - Knowledge of performance testing and benchmarking tools for low-latency systems. - Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack). - Strong understanding of software development lifecycle (SDLC) and agile methodologies. - Ability to design and implement comprehensive test strategies for complex distributed systems. - Experience with API testing, database testing, and microservices testing. - Excellent problem-solving skills and attention to detail in identifying edge cases and potential system failures. - Strong communication skills to collaborate effectively with cross-functional teams and document technical findings. - Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience. Preferred Skills & Qualifications - Experience with testing trading platforms, financial data systems, or high-frequency trading applications. - Knowledge of financial markets, trading protocols, and exchange connectivity (FIX protocol, WebSocket APIs). - Experience with containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP). - Familiarity with message queue systems (Kafka, RabbitMQ) and real-time data processing. - Experience with security testing and compliance requirements in financial services. - Knowledge of database systems (PostgreSQL, Redis, InfluxDB) and data validation techniques. - Experience with chaos engineering and fault injection testing. - Understanding of network protocols and low-level system optimization. - Experience with test data management and synthetic data generation. How to Apply: If you’re interested in this position, please apply! Candidates who may not meet all the qualification criteria are still encouraged to apply. We are looking for passionate, eager learners who are excited about the project at hand. You can apply via the platform where you found this job posting (e.g., LinkedIn). GoQuant Technologies Incorporated is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Job Description: QA Engineer (Paid) About GoQuant GoQuant is a financial technology company dedicated to providing high-performance trading solutions for digital assets. We empower professional traders and institutions with a comprehensive suite of tools, including an advanced Order Execution and Management System (OEMS), high-quality Market Data services, and a robust Portfolio and Risk Management System (PMS/RMS). Our focus is on delivering lightning-fast execution, ensuring private and secure trading environments, and offering sensible, fixed-fee structures. By integrating with a wide array of venues including centralized and decentralized exchanges, prime brokers, and market makers, GoQuant enables clients to maximize their trading potential with clean, reliable data and cutting-edge technology. Role Summary We are seeking a highly skilled and detail-oriented QA Engineer to join our dynamic team. The ideal candidate will be responsible for ensuring the quality, reliability, and performance of our trading platforms and financial applications through comprehensive testing strategies and automation frameworks. You will work closely with development teams, product managers, and other stakeholders to translate complex business requirements into robust testing solutions. Your primary focus will be on maintaining the highest standards of software quality while contributing to the full software development lifecycle from requirements analysis to production deployment. Key Responsibilities - Participate in the full software development lifecycle, from requirements analysis to implementation and maintenance. - Translate complex business requirements into detailed technical specifications and comprehensive test implementation plans. - Design and develop automated testing frameworks and tools using C++, Python, and JavaScript for critical trading systems. - Create and maintain comprehensive test suites for critical trading components, ensuring coverage of functional, performance, and edge-case scenarios. - Develop benchmarking tools for measuring system performance, latency, and throughput in high-frequency trading environments. - Contribute to architectural discussions and provide direct input in design decisions to ensure testability and quality from the ground up. - Provide technical support for client implementations and troubleshooting complex production issues. - Implement and maintain continuous integration/deployment pipelines with integrated testing automation. - Build monitoring solutions for system performance, reliability, and quality metrics in production environments. - Write production-quality code for new testing features, tools, and quality improvements. - Collaborate with development teams to optimize critical execution paths and identify performance bottlenecks. - Create detailed technical documentation for testing procedures, frameworks, and quality standards for both internal and external use. - Conduct thorough regression testing and validate system behavior across multiple trading venues and market conditions. - Establish and promote quality assurance best practices, testing standards, and methodologies across the organization. Required Skills & Qualifications - Proven QA engineering experience with a strong background in testing complex, high-performance financial or trading systems. - Proficiency in multiple programming languages including C++, Python, and JavaScript for developing testing frameworks and automation tools. - Strong experience with automated testing frameworks and tools (e.g., pytest, Jest, Google Test, or similar). - Solid understanding of software testing methodologies, including unit testing, integration testing, performance testing, and load testing. - Experience with continuous integration/continuous deployment (CI/CD) pipelines and tools such as GitHub Actions. - Knowledge of performance testing and benchmarking tools for low-latency systems. - Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack). - Strong understanding of software development lifecycle (SDLC) and agile methodologies. - Ability to design and implement comprehensive test strategies for complex distributed systems. - Experience with API testing, database testing, and microservices testing. - Excellent problem-solving skills and attention to detail in identifying edge cases and potential system failures. - Strong communication skills to collaborate effectively with cross-functional teams and document technical findings. - Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience. Preferred Skills & Qualifications - Experience with testing trading platforms, financial data systems, or high-frequency trading applications. - Knowledge of financial markets, trading protocols, and exchange connectivity (FIX protocol, WebSocket APIs). - Experience with containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP). - Familiarity with message queue systems (Kafka, RabbitMQ) and real-time data processing. - Experience with security testing and compliance requirements in financial services. - Knowledge of database systems (PostgreSQL, Redis, InfluxDB) and data validation techniques. - Experience with chaos engineering and fault injection testing. - Understanding of network protocols and low-level system optimization. - Experience with test data management and synthetic data generation. How to Apply: If you’re interested in this position, please apply! Candidates who may not meet all the qualification criteria are still encouraged to apply. We are looking for passionate, eager learners who are excited about the project at hand. You can apply via the platform where you found this job posting (e.g., LinkedIn). GoQuant Technologies Incorporated is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Job Description: QA Engineer (Paid) About GoQuant GoQuant is a financial technology company dedicated to providing high-performance trading solutions for digital assets. We empower professional traders and institutions with a comprehensive suite of tools, including an advanced Order Execution and Management System (OEMS), high-quality Market Data services, and a robust Portfolio and Risk Management System (PMS/RMS). Our focus is on delivering lightning-fast execution, ensuring private and secure trading environments, and offering sensible, fixed-fee structures. By integrating with a wide array of venues including centralized and decentralized exchanges, prime brokers, and market makers, GoQuant enables clients to maximize their trading potential with clean, reliable data and cutting-edge technology. Role Summary We are seeking a highly skilled and detail-oriented QA Engineer to join our dynamic team. The ideal candidate will be responsible for ensuring the quality, reliability, and performance of our trading platforms and financial applications through comprehensive testing strategies and automation frameworks. You will work closely with development teams, product managers, and other stakeholders to translate complex business requirements into robust testing solutions. Your primary focus will be on maintaining the highest standards of software quality while contributing to the full software development lifecycle from requirements analysis to production deployment. Key Responsibilities - Participate in the full software development lifecycle, from requirements analysis to implementation and maintenance. - Translate complex business requirements into detailed technical specifications and comprehensive test implementation plans. - Design and develop automated testing frameworks and tools using C++, Python, and JavaScript for critical trading systems. - Create and maintain comprehensive test suites for critical trading components, ensuring coverage of functional, performance, and edge-case scenarios. - Develop benchmarking tools for measuring system performance, latency, and throughput in high-frequency trading environments. - Contribute to architectural discussions and provide direct input in design decisions to ensure testability and quality from the ground up. - Provide technical support for client implementations and troubleshooting complex production issues. - Implement and maintain continuous integration/deployment pipelines with integrated testing automation. - Build monitoring solutions for system performance, reliability, and quality metrics in production environments. - Write production-quality code for new testing features, tools, and quality improvements. - Collaborate with development teams to optimize critical execution paths and identify performance bottlenecks. - Create detailed technical documentation for testing procedures, frameworks, and quality standards for both internal and external use. - Conduct thorough regression testing and validate system behavior across multiple trading venues and market conditions. - Establish and promote quality assurance best practices, testing standards, and methodologies across the organization. Required Skills & Qualifications - Proven QA engineering experience with a strong background in testing complex, high-performance financial or trading systems. - Proficiency in multiple programming languages including C++, Python, and JavaScript for developing testing frameworks and automation tools. - Strong experience with automated testing frameworks and tools (e.g., pytest, Jest, Google Test, or similar). - Solid understanding of software testing methodologies, including unit testing, integration testing, performance testing, and load testing. - Experience with continuous integration/continuous deployment (CI/CD) pipelines and tools such as GitHub Actions. - Knowledge of performance testing and benchmarking tools for low-latency systems. - Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack). - Strong understanding of software development lifecycle (SDLC) and agile methodologies. - Ability to design and implement comprehensive test strategies for complex distributed systems. - Experience with API testing, database testing, and microservices testing. - Excellent problem-solving skills and attention to detail in identifying edge cases and potential system failures. - Strong communication skills to collaborate effectively with cross-functional teams and document technical findings. - Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience. Preferred Skills & Qualifications - Experience with testing trading platforms, financial data systems, or high-frequency trading applications. - Knowledge of financial markets, trading protocols, and exchange connectivity (FIX protocol, WebSocket APIs). - Experience with containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP). - Familiarity with message queue systems (Kafka, RabbitMQ) and real-time data processing. - Experience with security testing and compliance requirements in financial services. - Knowledge of database systems (PostgreSQL, Redis, InfluxDB) and data validation techniques. - Experience with chaos engineering and fault injection testing. - Understanding of network protocols and low-level system optimization. - Experience with test data management and synthetic data generation. How to Apply: If you’re interested in this position, please apply! Candidates who may not meet all the qualification criteria are still encouraged to apply. We are looking for passionate, eager learners who are excited about the project at hand. You can apply via the platform where you found this job posting (e.g., LinkedIn). GoQuant Technologies Incorporated is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Job Description: QA Engineer (Paid) About GoQuant GoQuant is a financial technology company dedicated to providing high-performance trading solutions for digital assets. We empower professional traders and institutions with a comprehensive suite of tools, including an advanced Order Execution and Management System (OEMS), high-quality Market Data services, and a robust Portfolio and Risk Management System (PMS/RMS). Our focus is on delivering lightning-fast execution, ensuring private and secure trading environments, and offering sensible, fixed-fee structures. By integrating with a wide array of venues including centralized and decentralized exchanges, prime brokers, and market makers, GoQuant enables clients to maximize their trading potential with clean, reliable data and cutting-edge technology. Role Summary We are seeking a highly skilled and detail-oriented QA Engineer to join our dynamic team. The ideal candidate will be responsible for ensuring the quality, reliability, and performance of our trading platforms and financial applications through comprehensive testing strategies and automation frameworks. You will work closely with development teams, product managers, and other stakeholders to translate complex business requirements into robust testing solutions. Your primary focus will be on maintaining the highest standards of software quality while contributing to the full software development lifecycle from requirements analysis to production deployment. Key Responsibilities - Participate in the full software development lifecycle, from requirements analysis to implementation and maintenance. - Translate complex business requirements into detailed technical specifications and comprehensive test implementation plans. - Design and develop automated testing frameworks and tools using C++, Python, and JavaScript for critical trading systems. - Create and maintain comprehensive test suites for critical trading components, ensuring coverage of functional, performance, and edge-case scenarios. - Develop benchmarking tools for measuring system performance, latency, and throughput in high-frequency trading environments. - Contribute to architectural discussions and provide direct input in design decisions to ensure testability and quality from the ground up. - Provide technical support for client implementations and troubleshooting complex production issues. - Implement and maintain continuous integration/deployment pipelines with integrated testing automation. - Build monitoring solutions for system performance, reliability, and quality metrics in production environments. - Write production-quality code for new testing features, tools, and quality improvements. - Collaborate with development teams to optimize critical execution paths and identify performance bottlenecks. - Create detailed technical documentation for testing procedures, frameworks, and quality standards for both internal and external use. - Conduct thorough regression testing and validate system behavior across multiple trading venues and market conditions. - Establish and promote quality assurance best practices, testing standards, and methodologies across the organization. Required Skills & Qualifications - Proven QA engineering experience with a strong background in testing complex, high-performance financial or trading systems. - Proficiency in multiple programming languages including C++, Python, and JavaScript for developing testing frameworks and automation tools. - Strong experience with automated testing frameworks and tools (e.g., pytest, Jest, Google Test, or similar). - Solid understanding of software testing methodologies, including unit testing, integration testing, performance testing, and load testing. - Experience with continuous integration/continuous deployment (CI/CD) pipelines and tools such as GitHub Actions. - Knowledge of performance testing and benchmarking tools for low-latency systems. - Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack). - Strong understanding of software development lifecycle (SDLC) and agile methodologies. - Ability to design and implement comprehensive test strategies for complex distributed systems. - Experience with API testing, database testing, and microservices testing. - Excellent problem-solving skills and attention to detail in identifying edge cases and potential system failures. - Strong communication skills to collaborate effectively with cross-functional teams and document technical findings. - Bachelor&aposs degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience. Preferred Skills & Qualifications - Experience with testing trading platforms, financial data systems, or high-frequency trading applications. - Knowledge of financial markets, trading protocols, and exchange connectivity (FIX protocol, WebSocket APIs). - Experience with containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP). - Familiarity with message queue systems (Kafka, RabbitMQ) and real-time data processing. - Experience with security testing and compliance requirements in financial services. - Knowledge of database systems (PostgreSQL, Redis, InfluxDB) and data validation techniques. - Experience with chaos engineering and fault injection testing. - Understanding of network protocols and low-level system optimization. - Experience with test data management and synthetic data generation. How to Apply: If youre interested in this position, please apply! Candidates who may not meet all the qualification criteria are still encouraged to apply. We are looking for passionate, eager learners who are excited about the project at hand. You can apply via the platform where you found this job posting (e.g., LinkedIn). GoQuant Technologies Incorporated is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Show more Show less