Software Engineer

At Microsoft we are seeking people who have a passion for the positive impact technology can have on communities and for making a difference in the world. Within the Commercial Solutions Area (CSA), we set the Enterprise sales strategy and lead Enterprise technical sales for the Solution Areas and Support Services that power the Microsoft Cloud.

The Commercial Solutions Area, Chief Technology Office (CSA CTO) is a global team that works across customer-facing and product teams to onboard, strengthen and synthesize solutions for Enterprise commercial customer sales and delivery, and accelerate the availability of emerging and future growth solutions.

We pride ourselves in working in ambiguous environments on some of the toughest challenges that ignite our growth mindset, inspire excellence, and accelerate impact. We work collaboratively with our business partners to innovate and solve organizational wide problems. We are a team with a wide range of backgrounds, perspectives, personal and cultural experiences which are vital to how we drive impact across Microsoft.

If you want to have fundamental impact on cutting-edge solutions that are brought to life for the world’s most influential customers, while driving value and ensuring Solution Truth exists – this is the team for you!

We are seeking a Software Engineer to contribute to the prototyping, building, and augmentation of new and existing reusable solutions and technical assets that will be used in sales and delivery engagements. This engineer will also help lead the way for our organization with Artificial intelligence (AI). They will shape the way we integrate capabilities of Microsoft first-party products including (but not limited to) Dynamics, Office, Azure, cutting-edge AI services (like Azure Cognitive Services and Azure Open AI), and partner products that demonstrate the feasibility of these products and services in a single solution.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Responsibilities

• Be committed to delivering the best experience for our customers.
• Design systems that build trust with our customers by stitching together Microsoft products using low-code and AI with an emphasis on quality, performance, simplicity, reusability, scalability, and maintainability.
• Tackle ambiguity while working with engineers, project managers, designers, and partner teams to deliver a set of features with the right overall design and functionality.
• Remain current in skills by investing time and effort into staying abreast of current technological advancements that will improve the reliability, efficiency, and performance of our systems.
• Excellent communication skills and a passion for delivering scalable solutions through a diverse team of engineers.
• Help create a diverse and inclusive culture where everyone can bring their full and authentic self and where we do our best work.

Qualifications

• Bachelor’s degree in computer science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 1+ years of AI - Machine Learning, Search, Cognitive Services; Some exposure to Open AI.
• 1+ years experience with code repositories including but not limited: GitHub, Azure DevOps; as well as understanding of branching and tagging strategies; understanding of CI/CD pipelines.

• 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 master’s degree in computer science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Experience with Azure Data and AI services.
• Knowledge of the AI open-source ecosystem.
• Knowledge of Cognitive Services (including Speech, Vision, Translation etc.) Azure Cognitive Search, and Azure Open AI or equivalent compete experience.
• Knowledge of large language model (LLM) and Foundational models toolsets.
• Knowledge of Prompt Engineering, LLM fine tuning, and chaining technology (e.g., LangChain, Semantic Kernel).
• Experience with implementing Retrieval Augmented Generation (RAG) architectures.

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $94,300 - $182,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $120,900 - $198,600 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.