Software Development Engineer, Amazon OpenSearch Service - DIY Observability

AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.

Imagine being a part of a small, agile team where your ideas have the potential to reach millions within a short span of time. Picture working on technologies, where every single team member is a critical voice in the decision-making process. Envision being able to leverage the resources of a Fortune-500 company within the atmosphere of a start-up. AWS OpenSearch team is looking for Software Development Engineers for its Bangalore team who can help build search technologies for customers of all sizes. If you have a solid understanding of fundamental algorithms and are able to produce bulletproof code, we are looking for you.

You are highly-motivated and thrive in an environment where problems are open-ended. You enjoy engaging in passionate discussions with smart people and letting the best ideas rise to the top. You see your mistakes as learning opportunities and continually look for ways to improve yourself, your team and your products. You understand that not all solutions come easily and don’t shy away from hard work to reach your goals. We are looking for smart, motivated Software Development Engineers who can help take the service to new heights. If you have the skills to building large-scale and high-performance services, this is the job for you.

As a OpenSearch Service engineer, you will:

• Design, develop, and support a world-class OpenSearch Service that manages thousands of search domains.

• Focus on scalability, performance, service robustness, and cost trade-offs. (Especially as they pertain to a highly-virtualized, elastic, cloud-based environment)

• Apply scientific analysis and mathematical modeling techniques to predict, measure, and evaluate the consequences of designs and the ongoing success of our platform

• Continuously drive to explore, improve, enhance, automate, and optimize distributed systems and tools to best meet evolving business and market needs