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Top Software Engineer Jobs in Mumbai, MH
The Senior Infrastructure Engineer will provide support for LAN, WAN, and Datacenter Networks. Responsibilities include monitoring and administrating global networks, implementing Firewall changes, managing cloud networking tasks in AWS and Azure, troubleshooting issues, documenting procedures, and coordinating with teams for incident resolution.
The Business Intelligence Data Engineer will build and maintain data technology to support advanced analytics, develop ETL processes, and enhance data modeling solutions to deliver insights for various business stakeholders. They will also work to improve quality assurance standards and communicate complex data issues effectively.
The Sr. QA Automation Engineer will define automation strategy, develop automation testing frameworks, and lead QA efforts for web applications. Responsibilities include writing automated test cases, conducting API testing, integrating automated tests into CI/CD processes, and collaborating with the technology team to manage project status updates and quality assurance standards.
As an RPA Developer, you will collaborate with global teams to identify automation opportunities, lead RPA solution design, manage project tasks, mentor the team, and stay up-to-date with emerging RPA technologies while ensuring compliance with IT security policies.
As a Lead Software Engineer, you will manage the development and maintenance of Datafeed applications, oversee engineering teams, ensure performance and reliability, and collaborate with clients for enhancements and issue resolution. You'll also mentor junior engineers and champion best coding practices.
As a DevOps Engineer, you will enhance and maintain cloud infrastructure, automate development and deployment processes, and support cross-functional teams in AWS environments. Responsibilities include managing CI/CD pipelines, ensuring security standards, and documenting DevOps processes.
The Senior ServiceNow Developer will support and enhance Morningstar's Corporate systems, focusing on ServiceNow configuration, development, and integration. Responsibilities include creating service catalogs, managing data migrations, developing reports, and ensuring system stability while collaborating with cross-functional teams.
The Data Content Researcher will develop and maintain data methodologies for equity and fixed income indexes, handle data acquisition and automation, perform vendor data analysis, and contribute to process improvements while offering coaching to junior members.
As a Senior Software Development Engineer in ML Operations, you will enable pitchbook's ML teams by creating tools for optimizing the Machine Learning Development Life Cycle. You will mentor team members, collaborate in Agile, and support building AI solutions. You are expected to continually enhance AI capabilities while addressing challenges in the MLDLC and evaluating tools for process optimization.
The Senior Data Quality Assurance Engineer will ensure data accuracy and integrity by designing quality frameworks and conducting assessments using advanced statistics. Responsibilities include leveraging AI/ML for anomaly detection, automating processes, mentoring junior analysts, and ensuring compliance with financial regulations.
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