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Top Software Engineer Jobs in Mumbai, MH
The Software Engineering Team Lead will manage a team of developers, ensuring effective implementation, delivery, and improvement of digital products. This role involves collaboration with product managers and software architects, overseeing coding standards, and leading development through various stages using Agile methodology.
The Lead QA Automation Engineer will collaborate with the digital products team to ensure that products meet usability and quality standards. Responsibilities include developing automation strategies, executing automated testing scripts, clear communication of defects, risk analysis, mentoring team members, and staying updated with testing tools.
As a QA Automation Engineer, you will work with the digital products team to ensure high usability and quality standards for products. You will participate in the product lifecycle, create automated testing strategies, execute test scripts, manage defect reports, and mentor team members while staying updated with testing tools and practices.
Lead a full-stack software engineering team to build scalable solutions for investors and financial advisors at Morningstar, focusing on architectural decisions, technical initiatives, and collaboration with cross-functional teams. Emphasize Agile practices, DevOps, and mentor team members to achieve high product quality.
The Senior Software Engineer will support the Morningstar Wealth Platform by managing defect resolutions, monitoring system performance, and collaborating with teams to ensure the platform’s reliability. Responsibilities include troubleshooting, automating processes, and participating in Agile ceremonies to enhance the overall customer experience and maintain high-performance systems.
The Senior QA Automation Engineer will design and implement automation frameworks for UI and API testing, collaborate with teams, mentor junior engineers, and ensure the quality of financial applications in an Agile environment.
As a Senior Software Engineer at Morningstar, you will enhance financial advisor workflows by developing scalable applications, mentoring junior developers, and collaborating in Agile teams. Responsibilities include troubleshooting performance issues, designing innovative features, maintaining technical documentation, and ensuring engineering best practices.
The Machine Learning Engineer will develop features and services using Python to apply NLP and ML for data analysis, enabling better insights into private markets. Responsibilities include collaborating with other teams, analyzing unstructured data, and staying current with industry advancements in data science and machine learning.
The Senior Machine Learning Engineer at PitchBook will utilize machine learning and NLP to analyze large volumes of data, extract insights, and improve search capabilities on the PitchBook Platform. They will also mentor junior team members and collaborate with various stakeholders to automate data processes and enhance overall data management.
The Engineering Manager will lead AI and ML initiatives focused on data collection, ensuring high standards in reliability and performance of data systems. Key responsibilities include mentoring engineers, managing complex challenges, overseeing the lifecycle of AI/ML data systems, and collaborating with cross-departmental teams to support global initiatives.
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