22 Refactoring Jobs nearby Madurai

As a Lead SDET-UI at our company, you will be responsible for driving the UI automation strategy, framework architecture, and continuous improvement of frontend quality practices. Your main focus will be on providing technical leadership and guidance to the UI test automation team, ensuring robust, maintainable, and effective Playwright-based test suites for our modern web applications. This role requires cross-functional leadership to enhance UI quality, maintainability, and efficiency. - Provide technical leadership, mentorship, and guidance to the UI SDET/QA engineering team frameworks - Lead the design, implementation, and maintenance of Playwright-based UI automation frameworks - Architect and enforce the use of the Page Object Model (POM) and data-driven testing paradigms for UI automation - Design and own comprehensive test plans in partnership with Product Owners to align testing strategies and automation scripts with BDD delivery practice - Ensure UI test suites are maintainable, reliable, efficient, and scalable - Drive adoption of best practices for reducing flakiness, increasing speed, and ensuring meaningful assertions in UI tests - Establish and maintain robust regression testing processes to ensure ongoing UI quality - Implement feedback loops from test results and production issues to continuously improve test coverage and effectiveness - Drive the evolution and refactoring of UI test suites to adapt to product changes, reduce technical debt, and maximize long-term value - Champion a culture of quality, rapid feedback, and continuous improvement throughout the SDLC - Drive a TDD (Test-Driven Development) culture across the UI engineering team, including promoting learning and adoption of test automation by all engineers - Collaborate closely with product, development, UX, and DevOps teams to deliver integrated, high-quality solutions - Lead the adoption of modern UI testing tools, frameworks, and best practices - Drive root cause analysis and continuous improvement for UI defects and quality issues - Ensure engineering rigor, code quality, and effective documentation in all UI test assets - Facilitate clear communication, knowledge sharing, and effective documentation within the team - Support team growth through coaching, feedback, and skills development - Proven experience leading UI SDET or QA engineering teams and delivering complex UI automation projects - Deep expertise in Playwright and the Page Object Model for UI automation - Experience with data-driven testing approaches for UI, including test data creation and test Data management, with knowledge of BDD frameworks and practices - Demonstrated ability to deliver maintainable, reliable, and efficient UI test suites - Strong understanding of explicit waits, robust locator strategies, and atomic test design - Experience with test reporting and analytics for UI automation - Experience with risk-based testing and exploratory testing for UI - Strong programming and scripting skills in TypeScript - Experience with CI/CD pipelines and integrating UI automated tests into the SDLC - Strong collaboration and alignment skills across disciplines - Willingness to learn, share knowledge, and adapt to evolving technologies - System design skills and awareness of technical debt and tradeoffs in UI test automation - Excellent communication, documentation, and stakeholder management abilities - Comfort with ambiguity, discovery, and rapid change - Commitment to engineering excellence, security, and responsible practices (Note: Omitted additional company details as there were none in the provided Job Description.),

As a visionary Data Mesh and Cloud Architect (Hybrid Architecture) Lead, your role will involve driving the implementation of a cutting-edge, scalable data and cloud ecosystem for an enterprise-wide Controls Technology initiative. You will combine leadership in designing and implementing a Data Mesh architecture with expertise in cloud and hybrid infrastructures, ensuring seamless integration of on-premises systems with cloud-native environments. **Key Responsibilities:** - **Data Mesh Architecture:** - Define and implement a comprehensive Data Mesh strategy, enabling distributed data ownership and empowering domain teams to own and govern their data. - Design scalable, discoverable, and high-quality data products aligned with organizational goals. - Establish and enforce data governance standards to ensure data security, compliance, and consistency across domains. - Collaborate with business units to integrate domain-specific data into the broader enterprise architecture. - **Cloud and Hybrid Architecture:** - Design and implement hybrid cloud architectures that integrate on-premises systems with cloud-native AWS services, ensuring scalability, security, and reliability. - Lead cloud migration efforts, including lift-and-shift and refactoring of legacy applications for cloud optimization. - Build and manage infrastructure as code (IaC) frameworks for automated deployment and management of hybrid environments. - Establish robust disaster recovery, backup, and business continuity solutions for hybrid systems. - **Team Leadership:** - Build and lead a cross-functional team of data engineers, cloud architects, and infrastructure specialists to deliver on the Data Mesh and hybrid architecture vision. - Mentor team members, ensuring skills development and alignment with evolving technologies. - Foster a collaborative environment between data and cloud teams to ensure seamless integration and performance. - **Cross-Functional Collaboration:** - Work closely with Generative AI and other Controls Technology teams to ensure interoperable solutions and scalable integrations. - Act as a liaison between technical and business teams, translating complex requirements into actionable designs. - Promote a culture of innovation and data-driven decision-making throughout the organization. - **Performance Monitoring & Optimization:** - Implement monitoring frameworks for data and cloud systems, ensuring optimal performance, uptime, and cost efficiency. - Continuously evaluate emerging technologies to improve scalability, security, and efficiency. **Required Technical Skills:** - **Data Mesh Expertise:** - Deep knowledge of Data Mesh principles, distributed data systems, and domain-driven design. - Proficiency in building and managing scalable data pipelines and data products. - **Cloud & Hybrid Infrastructure:** - Expertise in AWS services (e.g., EC2, S3, RDS, Lambda) and hybrid cloud architecture. - Strong experience with containerization (Docker) and orchestration (Kubernetes). - Hands-on experience with Infrastructure as Code (Terraform, CloudFormation). - **Data Governance & Integration:** - Proven ability to enforce data governance frameworks, ensuring data quality, lineage, and compliance. - Knowledge of API development and integration strategies for hybrid environments. - **Networking & Security:** - Strong understanding of hybrid networking, including VPCs, VPNs, security groups, and IAM. - **Advanced Analytics:** - Familiarity with integrating data products into AI/ML platforms and advanced analytics tools. **Required Leadership & Soft Skills:** - Strategic Vision - Team Leadership - Collaboration - Innovation Focus - Problem Solving If you are a person with a disability and need a reasonable accommodation to use search tools and/or apply for a career opportunity, review Accessibility at Citi.,