Replit Agent( Java, BA and QA)---only W2`

Senior Full Stack Java Developer (AI-Enhanced Financial Systems) About the Role We are seeking a Senior Full Stack Java Developer to design, develop, and implement scalable, high-performance solutions that support financial operations. You will play a key role in building secure and efficient systems for transaction processing, reporting, and integrations. This role requires technical leadership within a hybrid team—collaborating with internal developers, consultants, external vendors, and AI-assisted outputs—while ensuring the highest code quality and adherence to best practices. Key Responsibilities • Design, develop, and deploy scalable Java-based backend services using Spring frameworks (Spring Boot, Spring Security) to support financial systems. • Build responsive and intuitive front-end interfaces using modern frameworks (React or Angular). • Design, optimize, and maintain SQL Server databases, including writing complex queries, stored procedures, and performance tuning. • Implement and manage CI/CD pipelines and DevOps practices for efficient, reliable deployments. • Lead code reviews, providing mentorship and technical guidance to internal and external team members. • Establish and enforce coding standards, architectural best practices, and documentation requirements. • Evaluate and refine AI-generated code to ensure quality, security, and compliance. • Integrate solutions with existing platforms and business applications to improve automation and efficiency. • Ensure all solutions comply with financial regulations, security standards, and compliance requirements. • Perform other development and leadership tasks as needed. Required Qualifications • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field. • 5+ years of full stack development experience, with a strong emphasis on Java technologies. • Advanced expertise in Java, Spring Boot, Spring Security. • Strong experience with SQL Server, including optimization and complex queries. • Proficiency in JavaScript/TypeScript and at least one modern frontend framework (React or Angular). • Hands-on experience with Git and CI/CD pipelines. • Strong understanding of design patterns, OOP principles, and best practices. • Knowledge of microservices architecture and containerization (Docker, Kubernetes). • Excellent communication skills, with the ability to translate technical details for non-technical stakeholders. Preferred Qualifications • Experience with Sage Intacct or similar fund accounting platforms. • Familiarity with Private Equity Fund Administration or Fund Accounting. • Experience with automated testing frameworks (JUnit, Mockito, Jest, Jasmine, Playwright). • Exposure to cloud platforms such as Azure, AWS, or GCP. Quality Assurance (QA) Engineer(AI-Enhanced Financial Systems) About the Role We are seeking a Quality Assurance Engineer to design, implement, and maintain comprehensive testing strategies for our financial applications. You will ensure the reliability, accuracy, and security of critical financial workflows while working in a hybrid team structure—collaborating with in-house developers, consultants, external vendors, and validating outputs from AI-assisted development tools. Key Responsibilities • Design and implement comprehensive test strategies for financial applications, ensuring coverage of complex financial workflows. • Build and maintain automated testing frameworks (Playwright, Selenium, Cypress, etc.) for end-to-end and API testing. • Integrate automated tests into CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins) with reporting and result analysis. • Lead QA processes across the hybrid team by reviewing test approaches, establishing QA standards, methodologies, and best practices. • Perform specialized testing of financial systems, including financial calculations, data migration validation, and third-party integrations (e.g., Sage Intacct). • Analyze test results, track defect patterns, and create detailed reports to drive continuous quality improvements. • Create and maintain test documentation (strategies, test cases, automation frameworks, traceability matrices). • Evaluate and refine AI-generated test scripts, ensuring reliability and coverage. • Support overall quality governance across multiple development initiatives. Qualifications • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field. • 5+ years of experience in software quality assurance, preferably with financial applications. • Hands-on experience with test automation (Playwright, Cypress, or Selenium). • Strong background in financial systems testing (transactions, calculations, reconciliations). • Knowledge of API testing tools and methodologies. • Experience integrating automated tests into CI/CD pipelines. • Solid understanding of database testing and data validation. • Excellent analytical skills for defining test scenarios and identifying edge cases. • Proficiency with defect tracking and test management tools. • Strong communication skills for engaging both technical and non-technical stakeholders. Desired Attributes • Experience with Sage Intacct or similar fund accounting platforms. • Background in fund accounting or private equity systems. • Understanding of Private Equity Fund Administration or Fund Accounting principles. • Experience with performance testing and security testing. • Familiarity with Agile testing practices. • Cloud testing experience (Azure preferred). • Relevant certifications (e.g., ISTQB). Business Analyst (AI-Enhanced Financial Systems) About the Role We are seeking a Business Analyst who combines traditional business analysis expertise with AI-assisted capabilities and hands-on functional testing skills. In this role, you will partner with stakeholders, developers, and AI systems to shape requirements, validate solutions, and ensure the functional quality of applications that transform our financial operations. You will play a key role in bridging business and technology, leveraging AI tools to deliver smarter insights, efficient documentation, and intelligent requirement engineering. Key Responsibilities • Gather and analyze business requirements through stakeholder interviews, workshops, and detailed documentation of functional and non-functional needs (user stories, acceptance criteria). • Create business solution artifacts including process flow diagrams, data flow models, wireframes, mockups, and current vs. future state process maps. • Act as a bridge between business and technical teams, translating business needs into actionable technical requirements, facilitating communication, and managing change impact analysis. • Leverage AI-powered tools (e.g., Cursor, Replit Agent) to enhance requirement documentation, process mining, and optimization. • Implement AI-assisted analysis solutions, such as automated requirement traceability matrices, AI-driven impact analysis, and AI-generated user stories. • Design and execute functional testing strategies, creating test cases from business requirements, validating business rules, and performing end-to-end workflow testing. • Conduct system, integration, and regression testing to ensure business requirements are met across varied scenarios. • Support User Acceptance Testing (UAT) by coordinating activities, preparing test data/environments, training stakeholders, and facilitating sign-off sessions. • Collaborate with QA teams to implement functional test automation, regression testing, and test environment management. • Drive AI-assisted BA transformation by establishing best practices for AI-powered requirement analysis, documentation, and mentoring team members. • Perform other BA and QA-related duties as needed. Qualifications • Bachelor’s degree in Business, IT, Computer Science, or related field. • 5+ years of Business Analyst experience in financial services or software development. • Strong understanding of private equity fund administration or financial operations. • Hands-on experience with requirements management tools (Azure DevOps, Jira, Confluence), process modeling tools (Visio, Lucidchart, draw.io), and data analysis tools (SQL, Excel, Power BI). • Experience in functional testing—test case design, execution, defect management, and UAT coordination. • Familiarity with Agile methodologies (Scrum, Kanban). • Knowledge of database concepts and SQL for analysis and validation. • Hands-on experience with AI development tools (Replit Agent or similar), LLM-based requirement generation, and prompt engineering for analysis tasks. • Knowledge of API documentation, data modeling, entity relationships, and cloud architectures (Azure preferred). • Familiarity with DevOps practices and CI/CD pipelines. • Strong analytical, organizational, and communication skills with the ability to lead workshops and drive consensus. Desired Attributes • Experience with Sage Intacct or similar fund accounting platforms. • Understanding of Private Equity Fund Administration workflows. • Business Analysis certifications (CBAP, PMI-PBA, or similar). • Experience with Azure AI services for business applications. • Strong data visualization and storytelling skills. • Familiarity with change management methodologies. • Knowledge of financial regulations and compliance standards. • Experience testing or validating AI-powered business applications.