Azure Container App Service team is part of broader Azure organization with a mission to empower developers to quickly build and manage highly scalable distributed and derverless applications on Azure. The team is responsible for some of the most popular, highly paid and fastest growing Azure services like Azure App Service (WebApps), Azure Container App. These services cater to thousands of developers across the globe to develop and manage Web, Mobile, API, Event-Driven and IoT applications. A billion-dollar business serving a multitude of industry sectors, our platform hosts mission critical applications for fortune 500 companies like Walmart, HSBC, Toyota, Boeing, Alaska Air, Kroger and more. Our customer satisfaction scores have set a new benchmark within Microsoft.
Bringing simplicity to our customers creates challenging engineering opportunities in areas like scalability, high-density, multi-tenancy, high availability, user experience and developer tools. Our services process 100 billion plus requests each day. As a PaaS offering, the infrastructure involves managing close to 2 million VMs under the hood.
The emergence of Serverless as next generation cloud compute and the recent disruptions in container and container orchestration technologies like Docker, Kubernetes; Cloud Native, Hybrid and Serverless application development and hosting platforms have an exciting future ahead. Come join us and help shape the next generation Serverless and Modern Application Platform for Azure.
We are looking for strong engineers who are passionate about building new products while also managing a globally distributed service. A candidate who can produce high quality solutions independently but will contribute to and benefit from a collaborative and diverse team environment both locally and across geo. A candidate who can wear many hats, learn quickly and change direction when needed.
In this role, you will design, build and deliver the next set of services, features and developer tools that will define how applications are developed and hosted on Azure, with a focus on App Service infrastructure and App Service on Linux. You'll be working on both open source and platform components written in a variety of programming languages.
This is an unique opportunity to work on large scale distributed systems and implement initiatives that are key to Microsoft's cloud strategy.
Required Qualifications (RQs)
- Bachelor's Degree (or currently pursuing a degree) in Computer Science or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.
- OR equivalent experience.
Preferred Qualifications (PQs)
- Master's Degree in Computer Science or related technical field with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.
- OR Bachelor's Degree in Computer Science or related technical field AND 3+ year(s) technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- Hands on experience with distributed systems and services in the cloud. Proven ability tracking complex technical issues for running online services.
- Excellent written and oral communication skills.
- Experience with .NET based systems is a plus; Experience using Linux, Docker, Kubernetes is a plus; Experience using public cloud services including Azure, AWS or Google Cloud.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
- Learn to review and break down work items into tasks with stakeholder collaboration, provide estimations, and escalate delays, while also supporting feature deployments to customers, considering user and service impacts, and adhering to best deployment practices for safety.
- Collaborate with key stakeholders to define feature requirements, integrate feedback to enhance design, and establish feedback loops for continuous improvement based on customer metrics.
- Learn and apply coding standards and best practices through code reviews, developing maintainable and extensible code with guidance. Utilize debugging tools to proactively and reactively address issues in product features, ensuring code quality and reliability.
- Support the identification of dependencies and design documentation for product features, learn about system interactions and back-end dependencies, and contribute to architectural processes under guidance. Produce code to test hypotheses for technical solutions and assist with technical validation efforts. Collaborate on quality assurance plans, augment test cases, and integrate automation into testing, while understanding the implications of security and compliance in system architecture.
- Contribute to data analysis and feedback integration for product engineering decisions, acting as a Designated Responsible Individual (DRI) for monitoring and restoring system functionality within Service Level Agreement (SLA) timeframe. Participate in live service operations, and support telemetry data integration for system behavior insights, with a focus on performance, reliability, and safety.
- Develop and apply best practices for reliable code building, understand global and local regulations, customer scaling requirements, and support communication with key partners across Microsoft for user experience enhancement and partner needs.
- Ensure compliance with security, privacy, safety, and accessibility standards, leverage developer tools for code creation and debugging, contribute to automation in production and deployment, and proactively seek knowledge to improve product availability, reliability, efficiency, and performance at scale.
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