Software Engineer II

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Does pioneering new and innovative ways to reimagine and transform end-user productivity across the breadth and depth of Microsoft’s global workforce sound exciting to you? Are you passionate about the future of work, driving innovation and showcasing an employee experience blueprint that inspires customers and partners to navigate their digital transformation? If so, Microsoft Digital (MSD) team is an excellent place for you to grow your career.

Microsoft Digital (MSD)’s mission is to power, protect, and transform the employee experience at Microsoft around the world. Come build community, explore your passions, do your best work and be a part of the team within Microsoft’s Data Platform & Growth (DPG) organization and Experiences & Devices (E+D) division. Microsoft Digital (MSD), is the team that innovates, creates, and delivers the vision for Microsoft’s employee experience, human resources, corporate and legal affairs, global real estate products, and runs Microsoft’s internal network and infrastructure, plus builds campus modernization and hybrid solutions. You will leverage the latest technologies and focus on empowering Microsoft employees with the tools and services that define both the physical and digital future of work.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.

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Job Purpose

We are looking for an experienced Software Engineer who can drive results by leading from the front as a full-stack developer, serving as a mentor to the team, and show thought leadership in architecture and solutioning. The ideal candidate will play a significant role working with other senior Product Managers, Software Engineers, and Architects across Microsoft to identify opportunities, collaborate and deliver impact. You will be working in a team that has a lot of AI/ML scope and opportunities providing opportunities for learning and growth.

Required Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent work experience.
• 3+ years of experience in software development, with a proven track record of delivering highly Scalable, Observable, and Secure software products.
• Experience in developing distributed systems, microservices, and event-driven architecture solutioning and architecting in any public cloud infrastructure (Azure, AWS, GCP) is a must.
• Proficiency in full stack - .Net stack (or comparable stack) and cloud ecosystems, C# or any comparable language like Java, Golang, NodeJS etc. UI frameworks – ReactJS, Typescript etc.
• Strong at Design, analytical and problem-solving skills, with an emphasis on quality and engineering excellence.
• Able to understand unfamiliar code bases, debug server-side, multi-threaded, and highly scalable applications.

Additional qualification that will be a bonus

• Prior experience of building models and operationalizing them in production.
• Experience in using MLOps and platforms\tools to manage ML models lifecycle.

Non-Technical skills

• Problem solving - Ability to clearly understand problems, decompose them into smaller problems; and technical articulation skills so that it is easy for the team to collectively solve.
• Ability to work both independently and collectively in a fun team environment with minimal supervision.
• Good communication and stakeholder management skills
• High capacity to learn and adapt to new technologies and engineering processes quickly.

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• Design and implement scalable, reliable, and secure software solutions using microservices, event-driven architecture, and cloud infrastructure.
• Build reusable components, frameworks, and libraries that enable faster development and higher quality.
• Apply best practices of CI/CD, infrastructure as code, observability, and debugging to ensure fast and smooth delivery of software products.
• Leverage AI/ML techniques and tools to solve complex problems and create innovative solutions.
• Communicate effectively with stakeholders and present technical vision and solutions to large audiences.
• Provide technical guidance and mentorship to the team and foster a culture of collaboration and excellence.
• Rapid agility with Proof of Concepts especially with AI/ML.