- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- Experience with Linux/Unix
- Experience with CI/CD pipelines build processes
- Experience with distributed systems at scale
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Amazon Seller Services India offers innovative solutions to help sellers grow their online businesses. With a fast-paced, entrepreneurial work environment, you'll be at the heart of Amazon's drive to deliver cutting-edge cloud technologies. We are seeking a Sys Dev Engineer II to help build and maintain scalable, high-performance systems on AWS for our seller services.
As a Sys Dev Engineer II, you will design, implement, and optimize cloud-based infrastructure, ensuring its efficiency and scalability. You will work on automating processes, driving operational excellence, and leveraging AWS services and machine learning models. This is an exciting opportunity to operate and engineer systems on a massive scale, solving complex problems, and gaining world-class experience in cloud computing.
You’ll collaborate closely with product and engineering teams to understand and deliver technical solutions that are scalable, secure, and aligned with the needs of our business and customers. Your expertise in system design, development, and automation will be instrumental in improving efficiency and enhancing customer experience.
Key job responsibilities
• Develop, deploy, and maintain large-scale, highly available AWS cloud infrastructure.
• Design, build, and optimize scalable solutions for data generation and processing, improving the quality and performance of models.
• Use Amazon Bedrock and Amazon SageMaker to support the development, training, tuning, and deployment of machine learning models.
• Collaborate with product and engineering teams to deliver extendable, scalable solutions at a high-quality standard.
• Automate processes to reduce operational overhead and troubleshoot complex systems.
• Partner directly with customers to understand business problems and guide them in implementing machine learning ecosystems on AWS.
• Analyze historical data to automate and optimize key processes, driving continuous improvement.
• Engage in systems architecture design, ensuring best practices are followed and operational efficiency is achieved.
• Lead and mentor junior team members, contributing to a culture of learning and innovation.
A day in the life
Our team values diversity in experience and perspective. We foster a culture of mentorship, where senior engineers provide guidance and code reviews to help you grow in your career. As part of this role, you'll:
• Automate and scale cloud computing infrastructure.
• Simplify processes and systems for enhanced customer experiences.
• Troubleshoot and resolve technical issues in AWS services.
• Build and deploy operational tools to automate and streamline workflows.
• Drive technical decision-making, ensuring progress and operational efficiency while resolving blockers.
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