Top AWS Jobs in Bangalore

The Staff Software Engineer will design and maintain backend services, lead projects, mentor engineers, and ensure quality through automated testing, focusing on scalability and reliability of payment systems.

The Staff Software Engineer will manage a team, design and maintain resilient backend services, and lead complex projects while ensuring quality and scalability.

The Data Engineering Manager will lead a team to design and implement data architectures, oversee projects, ensure data quality, and collaborate with other teams.

As a Data Analytics - Transformation Associate, you'll execute credit loss forecasting models, automate processes, and collaborate on data analysis within the Loss Forecasting team, enhancing your skills in a dynamic environment.

As a Software Engineer II, you will design and maintain scalable features for Toast’s Fintech products, collaborate with peers, and ensure high-quality output with automated testing and robust system designs.

As a Software Engineer II, you will design, develop, and troubleshoot software solutions, applying Java and cloud technologies within an agile team.

As a Software Engineer III, you will design, develop, and deliver technology solutions, maintain high-quality production code, and drive improvements through data insights in an agile team.

As a Software Engineer III, you'll design and deliver market-leading technology products, troubleshoot technical issues, and analyze large data sets to enhance software applications.

The Lead Software Engineer designs and develops software solutions, leads a team of developers, and ensures successful project execution while enhancing cloud and microservices architectures.

As a Software Engineer III, you will design and deliver technology solutions, create secure code, produce design artifacts, and engage in continuous improvement within an Agile team environment.

Lead the architecture and development of full-stack solutions for monitoring generative AI and machine learning workflows. Build observability tools and manage APIs, collaborating with cross-functional teams while ensuring compliance with industry standards.

Lead and manage teams to develop Machine Learning governance and observability platforms. Optimize model performance and ensure high standards of AI systems.

Lead software engineering teams focused on AI/ML, R&D, and Full Stack development. Oversee cloud infrastructure and ensure team alignment with strategic goals while driving innovation and operational excellence.

As a Software Engineer, you will develop transformative web capabilities using modern front-end and back-end technologies while collaborating with teams to deliver high-quality software solutions.

As a Senior Software Engineer, you will develop digital health products, lead agile teams, mentor developers, and ensure high-quality code and systems integration while collaborating with stakeholders.

The Senior Manager, Machine Learning Engineering will lead teams in developing and scaling Machine Learning Model Governance and AI Observability platforms, optimize model performance, and drive innovation in AI applications.

The role involves developing full-stack solutions, leading teams in software development, collaborating with stakeholders, and adhering to architectural standards in a fast-paced environment.