Software Engineering IC2

Job description:

Azure AI Knowledge is looking for a passionate Software Engineer to join the Azure AI Search backend team. In this role, you will build large-scale, developer-facing cloud services and solve complex engineering problems across search engines, distributed systems, information retrieval, reliability, and performance. You will work in an agile, customer-obsessed environment and contribute to the core systems that index, store, and serve data for demanding search and AI workloads.

Azure AI Search is a global managed search solution. As the hosted search engine on Azure, we make it quick and easy for developers to integrate a robust set of search capabilities into their applications; think e-commerce sites, data catalogs, large enterprise applications.

Over the last few years, the service has gone through tremendous growth, expanding into new market segments, and enabling new customer scenarios. Currently, we are sitting right in center of the AI wave enabling knowledge retrieval scenarios driving future growth, we're working to support a broader range of customer workloads in terms of data and query volume, usage patterns, and hosting modes. Independently, we're investing heavily to improve key drivers of customer satisfaction including search relevance and developer experience.

This is a great opportunity for anyone looking to take the next step in their career and be at the forefront of what Microsoft cares about most: Data, Cloud and AI.

As a team we're proud of what we build and how we build it. We run lean, obsess about customers and use an evidence-based approach to decision making. Every single week we talk to customers to make sure we build what they want. We leverage open-source technologies, develop in C#, Java and C++, our codebase builds in minutes, and we ship new bits regularly. We hire self-driven engineers ready to take on new challenges, develop ownership, and learn quickly. We reduce the process to a minimum. As an engineer on the team, you'll spend most of your time writing code, contributing improvements in different dimensions of the service value proposition: core search, manageability, scale, availability, performance, developer experience.

Responsibilities:

• Design, implement, test, and deliver backend capabilities that enable new search and AI retrieval workloads in Azure, taking ownership from technical design through production deployment and operation.
• Improve product and service quality through hands-on DevOps engagement, including monitoring, diagnostics, incident response, root-cause analysis, automation, and live-site tooling.
• Engage with customers to better understand scenarios and resolve issues.
• Develop expertise in Azure provisioning and service management.

Qualifications:

Required Qualifications:

• Strong problem-solving, troubleshooting and communication skills.
• Good understanding of systems fundamentals, including operating systems, networking, concurrency, storage, algorithms and data structures, cloud platforms, and distributed systems.
• Openness to feedback and effectiveness at collaborating with diverse groups of people.
• Demonstrated independence, bias for action, and tolerance for ambiguity.
• 3+ years of professional software engineering experience designing, developing, testing, and operating production software.
• Experience developing production software in C#, C++, Java, or another object-oriented programming language; experience with scripting, automation, or SQL is an advantage.
• Building and shipping production grade cloud services, including designing and implementing solutions for telemetry and monitoring.
• Bachelor's degree in computer science or engineering (or equivalent experience).

Preferred Qualifications:

• Experience with Lucene, Elasticsearch, Open Search and the full ELK stack is a plus.
• Experience building systems on top of with one of the large cloud platforms is a plus.
• Experience coordinating resources across diverse teams to restore service and maintain SLAs.
• Ability to conceptualize a distributed service, its dependencies and the transactional flow when troubleshooting across network, application, caching, queuing, load-balancing, storage and distributed services layers.
• High enthusiasm, integrity, ingenuity, results-orientation, self-motivation, and resourcefulness in a fast-paced environment.
• Deep desire to work collaboratively, find win/win solutions and celebrate successes.
• Always leading with deep passion and empathy for customers and co-workers.

#AIKnowledge #AISearch #CoreAI