Senior Software Engineer

Key Skills

Aartificial intelligence, Azure, Big Data Technology, C# Programming, Data Modeling, Design, Java Programming, KPIs, Machine learning techniques, MLOps tools, Python Programming

Job Description

Overview

Microsoft's mission is to empower people and organizations to achieve more, and Office 365 is at its core. As digital transformation continues to sweep through every industry, data engineering over Big Data and Artificial Intelligence (ML) is crucial to this mission.

Microsoft 365 substrate is critical to Microsoft’s cloud strategy and it is experiencing tremendous growth, with 120 million monthly active commercial users and hundreds of millions of consumer users. The Substrate is a massively distributed cloud service with O(exabyte) data handled by O(100K) servers in O(100) data-centers around the entire globe, and it's a joint effort across Office 365 teams as well as Windows and Bing.

We are the O365 substrate productivity intelligence team, and we are building a platform that empowers first and third-party developers and data scientist to build new breed of intelligent applications without compromising O365 data privacy and compliance standards. O365 MyAnalytics, CRM, Workplace Analytics and Bing apps are examples of consumers of the platform. The platform also enables Machine learning solutions over O365 substrate data. 

We are looking for a software developer with a passion for solving hard problems, big data, real time event processing, and building software at very large scale.

Qualifications

Basic Qualifications: 

• Bachelors in computer science (or related field)  
• 5+ years of software development experience  
• Experience leading a large feature crew developers.
• Experience in OOP C# / Java or Python
• Experience working on Azure or similar cloud platforms.

Preferred Qualifications and Experience:

• Experience building and Managing highly scalable web services and Big data systems.
• Good grasp of System design and Patterns.
• Good grasp of data structures, algorithms, programming patterns, and solving complex problems.  
• Familiarity with Apache spark, databricks, Azure HDInsights or Synapse or Azure ML systems is a plus.
• Familiarity with ETL, Data Modeling, Data Engineering and past ML experience is a plus.

Responsibilities

Develop MLOps systems for Office AI.

Develop online and offline tools to automatically onboard and ship inference workflows to production.

Improve AI online experimentation agility by applying new approaches and industry innovations. 

Accountable for design, implementation, quality, live site & success of customers.

build highly scalable solutions to cater to the needs of vast customer base eagerly waiting to utilize the Azure platform for their business demands.

Establish KPIs and successfully drive execution through collaboration and partnership with PM team and partners.

Excellent communication skills and a passion for delivering scalable solutions through a diverse team of engineer