JOB DESCRIPTION
OVERVIEW
Do you want to work on a product that is used by millions of people around the world daily, and growing rapidly? Do you care deeply about how software is designed with a focus on supporting global-scale? Do you want to be part of a world-class team that continuously pushes the boundary of service and engineering excellence?
The Web Experience and Services Team is looking for a Software Engineer who is passionate about working on high-scale geo-distributed services. These services power the infrastructure behind the Office web applications like Word, Excel, and PowerPoint, which are part of the Office 365 suite. We are gearing up to modernize our infrastructure and services to further push the limits of scalability and reliability. If you want hands-on experience in designing, building and running global services in the M365 and Azure ecosystem – at a scale not often found in the industry - this is the role for you.
Responsibilities
· Drive architectural improvements across the product suite to improve performance, reliability, and scale
· Lead the transition from VM based capacity management to containers: determine system-wide requirements, ensure delivery from the platform, build the shared foundational pieces, and guide app teams through adoption and safe rollout
· Lead and mentor other engineers and provide technical direction at the team level
· Drive engineering excellence and best practices across the team and the organization.
· Research and evaluate new technologies and trends and propose new ideas and solutions.
QUALIFICATION
· Bachelor’s degree in computer science, Engineering, or related field, or equivalent work experience.
· 10+ years of professional software engineering experience, preferably in cloud infrastructure management, web, or mobile development.
· Expertise in one or more programming languages, such as C#, Java, Python, or JavaScript.
· Strong knowledge of software engineering principles, patterns, and practices, such as object-oriented design, test-driven development, and agile methodologies.
· Experience with cloud platforms and services, such as Azure, AWS, or Google Cloud.
· Experience with container technologies, such as Docker, Kubernetes, or AKS.
· Experience with artificial intelligence, machine learning, or data science, or a strong interest in learning and applying these technologies.
· Excellent communication, collaboration, and problem-solving skills.
· Ability to work independently and as part of a team in a fast-paced and dynamic environment.
· Passion for learning new skills and technologies and sharing them with others.