As an Application Engineer at Tookitakis in the Services Delivery Team, your primary role will be to configure the FinCense platform to meet client-specific requirements. Your responsibilities will include product configuration and customization, data science and analytics support, technical expertise and issue resolution, collaboration and cross-functional alignment, as well as continuous improvement and documentation. Key Responsibilities: - Product Configuration and Customization - Configure the FinCense platform based on client-specific requirements and workflows. - Implement data science models, algorithms, and workflows tailored to client use cases. - Collaborate with Client Enablement and Deployment Engineers to ensure readiness for go-live. - Data Science and Analytics Support - Assist in designing and optimizing data pipelines for real-time and batch processing. - Configure algorithms for AML and fraud detection, and validate model performance. - Technical Expertise and Issue Resolution - Collaborate with Data Engineers to integrate client data and optimize platform performance. - Troubleshoot and resolve performance issues related to data ingestion and processing. - Collaboration and Cross-Functional Alignment - Partner with Client Enablement team to deliver training and support deployments. - Work closely with Product Management to provide feedback on enhancements. - Continuous Improvement and Documentation - Maintain detailed documentation of configurations, workflows, and issue resolutions. - Develop templates, FAQs, and guides to support teams and identify process improvements. Qualifications and Skills: - Education: Bachelor's degree in Computer Science, Data Science, or related field. - Experience: Minimum 6 years of experience in configuring SaaS platforms or data-intensive systems. - Technical Expertise: Strong knowledge of Big Data frameworks, programming languages, and cloud infrastructure. - Soft Skills: Excellent communication, problem-solving, and collaboration skills. Preferred Qualifications: - Experience with AML or fraud detection platforms is advantageous. - Certifications in AWS, Kubernetes, or Big Data frameworks are beneficial. Key Competencies: - Client-Centric Mindset - Technical Acumen - Problem-Solving - Collaboration Success Metrics: - Configuration Accuracy - Platform Optimization - Issue Resolution - Client Enablement Support - Cross-Team Collaboration Benefits: - Competitive Salary - Professional Development - Comprehensive Benefits - Growth Opportunities Join Tookitakis and be part of revolutionizing financial services compliance with seamless, data-driven solutions!,
Job Title : SDET Location: Bangalore Department: Engineering Reports to: Team Lead/Engineering Manager Tookitaki is looking for a highly skilled and detail-oriented SDET with 6 years of experience to join our team in Bangalore. This role is critical in ensuring the quality and reliability of our B2B AML (Anti-Money Laundering) solutions. The ideal candidate will have a strong background in automation testing, software development, and a keen understanding of QA best practices, particularly within the B2B and financial services sector. Roles & responsibilities: Test Automation Development: Design, develop, and maintain automated test scripts for web and API testing. Enhance the existing automation framework and add the new tests to improve test coverage for critical product features. Collaborate with development teams to integrate automated tests into CI/CD pipelines. Quality Assurance Work closely with developers and product managers to understand requirements and define test scenarios and test cases. Perform thorough regression testing before product releases to ensure quality and performance. Identify, report, and track bugs, ensuring timely resolution Test Strategy & Planning: Develop comprehensive test plans, strategies, and schedules based on product requirements. Define and implement testing standards and best practices to ensure high-quality releases. Plan and execute sanity, regression, performance, load, and security testing. Collaboration & Communication: Work with cross-functional teams (engineering, product, and support) to ensure smooth delivery of features. Provide feedback on feature functionality, performance, and scalability to the development team. Actively participate in code reviews and provide input on automation testability.. Documentation & Reporting: Create detailed test reports and documentation for the automated tests developed. Regularly update test results and provide clear, actionable feedback to the QA and development teams. Maintain test documentation, including test cases, test scripts, and test data. Customer-Focused Testing: Ensure that all tests align with customer expectations, providing a seamless experience for end-users. Conduct testing in production-like environments, identifying and addressing potential issues early OKR Ensure 95% test automation coverage within the first 6 months of joining. Identify and resolve 90% of critical defects before they reach production environments. Reduce the time for test execution by 20% through optimization of test scripts and frameworks. Collaborate with the development team to achieve at least 99% uptime and reliability of AML products. Requirements: Education: Bachelor’s degree in Computer Science, Engineering, or a related field Experience: Minimum of 6 years of experience in software testing and automation in a B2B technology or financial services company. Proven experience in developing and maintaining test automation frameworks using tools like Selenium, JUnit, TestNG, etc. Strong knowledge of programming languages such as Java, Python, or similar. Experience in API testing and API automation using Java-RestAssured. Hand-on-experience in load testing/performance testing using JMeter. Hands-on experience with build automation tools like Jenkins, Maven, etc. Experience with python scripting would be a plus. Experience with AI and ML product testing would be a plus. Skills: Proficiency in CI/CD tools (e.g., Jenkins, Docker) and cloud environments (e.g., AWS, Azure). Strong understanding of software development methodologies, especially Agile and Scrum. Experience with version control systems like Git. Attributes: Excellent problem-solving and analytical skills. Strong attention to detail and ability to work independently or as part of a team. Adaptability to work in a fast-paced, dynamic environment.