Senior Software Engineer- Full Stack
Microsoft
Skills
- C#
- Java
- JavaScript
- TypeScript
- React
- HTML5
- Webpack
- Azure
- AWS
- Google Cloud
- System Design
- Software Architecture
- Debugging
About the role
Core responsibilities include designing, owning and shipping software, writing secure, reliable, scalable and maintainable code. Syncing with other teams for product features that span across teams and geographies, figuring out dependencies and driving them to completion. You should have a solid understanding of the software development cycle. Successful candidates should have ability to ramp up quickly on new technologies and adopt solution from within the company or from the Open-Source community. In addition, solid problem solving & debugging skills are necessary. Candidate will be regularly participating in on call and reviewing customer feedback. Candidate is expected to make architectural changes in application to make it modernize, performant and reliable. Candidate will be helping other team members by actively working with them and participating in design and code reviews. Candidate will be growing team knowledge with regular knowledge sessions. Candidate must be self-driven, curious to learn, proactive, result oriented, a thought leader having solid communication and influencing skills. Identifying opportunities to leveraging AI for making the organization more productive. 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. These requirements include but are not limited to the following specialized security screenings: 7+ years of professional experience designing, developing, testing, and shipping software. Proficiency in either service (C#, Java, etc.) and web (HTML5 and JavaScript/TypeScript, Webpack, react) technologies. Demonstrated technical aptitude for architecture, design, development, debugging, testing, etc. Experience with cloud platforms and services, such as Azure, AWS, or Google Cloud. Deep interest in AI, machine learning, or data science, or related technologies. Excellent communication, collaboration, and problem-solving skills. Ability to work independently and as part of a team in a fast-paced and dynamic environment. Passion for learning new skills and technologies and sharing them with others.
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