Principal Software Engineering Manager Job in Microsoft Corporation India Pvt. Ltd.

Overview

Do you want to be part of a team which delivers innovative products and machine learning solutions across Microsoft to hundreds of millions of users every month? Microsoft Turing team is an innovative engineering and applied research team working on state-of-the-art deep learning models, large language models and pioneering conversational search experiences. The team spearheads the platform and innovation for conversational search and the core copilot experiences across Microsoft s ecosystem including BizChat, Office and Windows.

As a Principal Software Engineering Manager in the Turing team, you will own up responsibility for tight timeline based delivery of key cutting edge features end to end, working with a team in India & other offices, architecting, coordinating & alignment across timezones. This is a very hands-on role closely architecting the product & engineering design, coding, debugging & aligning with global teams, across frontend, backend & machine learning systems.

The opportunity will allow you to understand building products at the edge of Machine learning, platforms built for Microsoft level scale, polish your skills on inter-organizational coordination, and end to end understanding & appreciation of large-scale systems.

Microsoft s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science, or related technical discipline AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 3+ years experience of leading teams & managing people.
• Experience handling systems level software development.
• Experience shipping low latency, high throughput systems at internet scale (handling sub-300ms latencies at 1k+ request per second).

Preferred Qualifications:

• Solid technical depth, foundational computer science & Machine learning principles, Distributed Systems, Data Mining, Machine Learning fundamentals.
• Ability to handle multiple systems end to end, switching contexts easily going into the requisite debugging or architecture depth, and stepping back to take the big picture.
• Strong & clear communication skills within the organization & with the team.
• Strong work ethic, self-drive & focus on quality.
• Keen ability and motivation to learn, enter new domains, and manage through ambiguity.

#M365CORE #MSAI #MSTuring #Turing

Responsibilities

• Handles and takes product requirements, details them, and converts them into engineering design documents.
• Works with the team and peer organizations through design reviews, feedback, aligning the designs and execution plan.
• Takes responsibility for end to end building, testing and delivery of the product, coordinating day to day with the engineering team. This includes a very hands-on code contribution.
• Leads teams and leads identification of dependencies and the development of design documents for a product, application, service, or platform.
• Optimizes, debugs, refactors, and reuses code to improve performance and maintainability, effectiveness, and return on investment (ROI).
• Guides team to drive multiple group's project plans, release plans, and work items in coordination with appropriate stakeholders (e.g., project managers).
• Guides team and acts as an expert for Designated Responsible Individual (DRI) and monitors other engineers across product lines, working on call to monitor system/product/service for degradation, downtime, or interruptions.
• Leads product development and scaling to customer requirements and applies best practices for meeting scaling needs and performance expectations and holds accountability for products that do not meet expectations.