Senior Software Development Lead
Job requirements
Experience Range: 5 to 8 years of experience, including substantial hands-on expertise in .Net fullstack development and AI-driven code generation, testing, and automation Key Responsibilities:
Lead the design and development of scalable .Net fullstack microservices solutions, delivering high performance and reliability
Architect and implement AI-driven tools for code generation, automated testing, and building robust automation test suites, achieving measurable improvements in development efficiency
Integrate front-end frameworks such as AngularJS or React JS with back-end .Net APIs to deliver seamless and responsive user experiences
Develop and enhance CI/CD pipelines to automate build, test, and deployment processes, reducing release cycle times
Leverage containerization and orchestration technologies like Docker and Kubernetes to ensure scalable and resilient deployments
Utilize messaging platforms such as Kafka to enable efficient communication between distributed microservices
Mentor and guide team members through code reviews and technical leadership, fostering a culture of innovation and excellence
Collaborate with cross-functional teams to define technical requirements, establish best practices, and drive continuous improvement in software delivery
Required Skills:
.Net Core and C# development
Microservices architecture and implementation
AI tools for code generation and test automation (e.g., Copilot, TestGen)
AngularJS or React JS
.NET API development and integration
SQL Server or Oracle RDBMS
Kafka messaging platform
Docker containerization
Kubernetes orchestration
Preferred Skills:
Experience with advanced AI/ML frameworks for software engineering automation (such as TensorFlow, PyTorch, or Azure ML)
Expertise in performance tuning and optimization of large-scale distributed applications
Knowledge of cloud-native application development on Azure or AWS
Familiarity with DevOps practices and infrastructure as code (e.g., Terraform, Ansible)
Hands-on experience with automated security testing tools (e.g., SonarQube, OWASP ZAP)
Desired Qualifications:
Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a closely related discipline
Microsoft Certified: Azure Developer Associate or equivalent certification
Relevant certification in AI or machine learning technologies, such as Microsoft Certified: Azure AI Engineer Associate
