Full Job Description
As a Software Engineer, you will design and build AI-native systems that go beyond supporting workflows-they intelligently transform them. You will work across data, systems, and agentic workflows to enable faster insights, smarter decisions, and higher productivity across the global sales ecosystem.
Responsibilities
• Adopt AI-native development practices, leveraging AI tools across the SDLC while taking ownership of reviewing, validating, and improving AI-generated outputs.
• Develop and ship code for product features, applying standard coding practices, maintainability, and basic debugging, testing, and telemetry techniques.
• Contribute to design and implementation by exploring solution options, supporting design documentation, and validating technical approaches under supervision.
• Follow engineering excellence standards, including security, privacy, compliance, and accessibility practices, while building awareness of regulatory and system requirements.
• Participate in testing and quality assurance, executing test plans, supporting automation, and ensuring reliability and regression prevention.
• Support deployment and release processes, including safe change practices, feature rollout (flighting), rollback planning, and alignment with compliance requirements.
• Assist in live-site operations and reliability, acting as DRI for live-site issues, monitoring systems, responding to incidents, and improving troubleshooting and telemetry.
• Collaborate with stakeholders and learn continuously, contributing to understanding customer requirements, integrating feedback, reusing existing solutions, and improving documentation and team practices.
Qualifications
Required Qualifications
• Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Preferred Qualifications
• Experience with cloud technologies (Azure, AWS, Google).
• Experience with distributed systems, micro-service architecture, scalability patterns, and high-availability architectures.
• Experience with REST Based API's development, messaging patterns (e.g. Service bus, Event Hub, Storage Queues) and cloud storage technologies ( e.g. Cosmos DB)
• Proficient in problem-solving skills, with a data-driven approach to debugging and performance optimization.
• Experience in deploying, monitoring, and operating services in the cloud.
• Problem-solving, troubleshooting, and organizational skills.
• Experience with or exposure to Agile and iterative development processes.
• Familiarity with modern engineering practices such as CI/CD and version control systems like Git.
Software Engineering IC2 - The typical base pay range for this role across the U.S. is USD $85,400 - $168,100 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 $111,100 - $183,700 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
