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 reliabilityArchitect and implement AI-driven tools for code generation, automated testing, and building robust automation test suites, achieving measurable improvements in development efficiencyIntegrate front-end frameworks such as AngularJS or React JS with back-end .Net APIs to deliver seamless and responsive user experiencesDevelop and enhance CI/CD pipelines to automate build, test, and deployment processes, reducing release cycle timesLeverage containerization and orchestration technologies like Docker and Kubernetes to ensure scalable and resilient deploymentsUtilize messaging platforms such as Kafka to enable efficient communication between distributed microservicesMentor and guide team members through code reviews and technical leadership, fostering a culture of innovation and excellenceCollaborate with cross-functional teams to define technical requirements, establish best practices, and drive continuous improvement in software deliveryRequired Skills:
.Net Core and C# developmentMicroservices architecture and implementationAI tools for code generation and test automation (e.g., Copilot, TestGen)AngularJS or React JS.NET API development and integrationSQL Server or Oracle RDBMSKafka messaging platformDocker containerizationKubernetes orchestrationPreferred 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 applicationsKnowledge of cloud-native application development on Azure or AWSFamiliarity 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 disciplineMicrosoft Certified: Azure Developer Associate or equivalent certificationRelevant certification in AI or machine learning technologies, such as Microsoft Certified: Azure AI Engineer Associate