Description
The Microsoft AI – Bing Places Data team is seeking a passionate engineer to accelerate the adoption of Places Data, Services & Experiences for Copilot, Bing & Grounding products.
Our team is uniquely positioned to build data foundations that delivers comprehensive geospatial & business location data to services & experiences across the Bing, Copilot & Grounding to drive growth of Generative AI and Agents capabilities resulting in best experiences & value for our customers.
We seek a MAI – Bing Places – Senior Software Engineer II with a solid passion for technology, intellectual curiosity, and a willingness to learn and share.
This opportunity allows you to make a broad positive impact using a range of software tools and services, including large-scale interactive data analytics, scalable map-reduce compute, machine learning and AI, LLM models, service and data engineering, security, compliance, and service management.
We develop engineering systems to extract , transform & load to serve places data content from billions of location entities globally utilizing a variety of signals and algorithms from web scraping to trusted licensed partners.
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.
Responsibilities:
Understand User Requirements – Collaborate with product managers and technical leads to establish & clarify requirements and incorporate continuous feedback from stakeholders.
Design and Architecture – Owns design for services/components within a domain , make component level design decisions and ensure alignment with security, privacy, and compliance requirements.
Coding and Implementation Excellence – Deliver high-quality, maintainable, and extensible code while setting standards through code reviews and best practices.
Testing and Automation – Develop and refine test plans, integrate automation, and ensure robust test coverage for backend services.
Engineering Excellence – Integrate telemetry, improve tools and processes, and maintain compliance with reliability, accessibility, and regulatory expectations
Collaboration and Growth – Partner effectively across teams, contribute to peer code reviews, and share knowledge to improve overall team effectiveness.
Technical Leadership – Influences design decisions and elevates engineering practices across peers.
Qualifications:
Required Qualifications: 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.
Preferred Qualification: 4+ years of technical engineering experience with coding in one or more programming languages such as C, C++, C#, Java, Python, or Scala, with a solid understanding of data structures, algorithms, and system design fundamentals.
Experience in big data systems such as Spark/PySpark or Stream Processing Systems.
Experience with cloud services.
Ability to debug complex issues across client and server layers.
Proven skills in software system design and architecture.