Senior Software Engineer - Windows365

Full Job Description

As a Senior Software Engineer in our team, you will get an amazing opportunity to contribute to both business and technology. You will be a key member of our engineering team, drive full end to end engineering cycle of critical scenario, collaborate with internal partner teams and will be accountable for shipping service offerings that succeeds with our customers. In this role you will: Drive end to end engineering cycle of cloud device platform scenarios that scales to provision, manage, and monitor health of millions of cloud-based virtual devices. Mentor and help grow a team of talented, diverse software engineers. Build and maintain secure, distributed, scalable, and resilient micro-services using modern technologies. Raise the technical bar, maintain a data and results driven culture, and nurture a high-performance team to build world-class experiences for W365 and AVD end users, ITPros, partners, and operations teams. Get to extend your knowledge of cloud compute, hypervisors, desktop virtualization, streaming technologies, and other technical areas including cloud-based management suites. Be part of a team designing new platform capabilities involving virtualized compute, storage, networking, GPUs, and streaming protocols (such as Remote Desktop Protocol) for our core products to enhance the value to our customer base. Be a part of an agile team working with experienced engineers and product managers that behave more like a frontier startup in AI era. Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. OR equivalent experience. Bachelor's degree in Computer Science, Engineering, Math, Science or other technical field. 8+ years of software engineering experience building and shipping apps and/or services. Excellent technical design skills and proven ability to drive large scale system designs for commercial projects or products. Excellent at leveraging AI through all engineering activities including design, coding, validation, deployment, monitoring. Fluent English communication skill. Ambitious, self-motivated. Agile, can-do attitude and great at dealing with ambiguity. Solid coding, debugging and problem-solving skills. Solid AI assisted coding practice. Solid AI agentic experience. Solid knowledge of object-oriented programming language paradigms. Keen interest in mentoring early in career engineers. Ability to generate clarity in ambiguous situations. Ability to quickly ramp up, understand complex problems, and create solutions across many products. Great communication skills to collaborate cross-group and work effectively within the team. Expertise in developing large scale services. Expertise in OS hypervisor. Expertise in virtualization.

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