Software Development Engineer II

Design, develop, test, and maintain scalable .NET applications using C# and ASP.NET Core. Build and support RESTful APIs and microservices-based solutions that power critical business operations. Write clean, efficient, and well-documented code following engineering best practices. Participate in architecture discussions and contribute to system design and scalability planning. Collaborate with DevOps teams to streamline CI/CD pipelines and deployment strategies. Integrate applications with cloud platforms such as Azure and GCP for hosting and managed services. Troubleshoot, debug, and optimize application performance, reliability, and security. Participate in code reviews to maintain high engineering standards and foster a culture of continuous improvement. Work closely with cross-functional teams — including product owners, QA, and fellow engineers — to deliver high-quality software solutions. Stay updated with emerging technologies and proactively recommend improvements to existing systems. Contribute to sprint planning, estimation, and Agile ceremonies as an active and engaged team member. 2–5 years of professional experience in software development using C#, ASP.NET Core, and related Microsoft technologies. Hands-on experience building RESTful APIs and working with microservices architecture. Strong proficiency in SQL Server, including database design and query optimization. Working knowledge of cloud platforms such as Azure and/or Google Cloud Platform (GCP). Experience with Git, CI/CD pipelines, and modern DevOps practices. Solid understanding of application security, scalability, and performance optimization principles. Strong problem-solving skills with the ability to debug and resolve complex technical issues. Effective communication and collaboration skills in a team-oriented environment. Understanding of Agile methodologies and experience working in sprint-based delivery cycles. Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience. Experience with front-end frameworks such as Angular or React. Exposure to event-driven architectures or messaging systems like Kafka. Familiarity with containerization tools such as Docker and Kubernetes. Experience with monitoring and observability tools for application health and performance. Prior experience working in a product engineering environment with cross-functional teams. Curiosity about AI/ML technologies and a willingness to explore how they can enhance engineering workflows. Minimum Qualifications.