Custom Software Engineer

Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : .Net Full Stack Development
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
We are seeking a dynamic Mid-Level Application Architects / Senior Developers with a strong focus on hands-on development and practical solution design. The ideal candidate will have robust experience in .NET Core, MVC, and Python, with working knowledge of front-end technologies like React or Angular, and a foundational understanding of AI integration. This role emphasizes active coding, solution implementation, and collaboration across application development, infrastructure, and integration in multi-cloud environments (AWS, Azure, Google Cloud) to deliver scalable, secure enterprise applications. Key Responsibilities: • Hands-On Coding: Actively develop, test, and deploy application-heavy solutions, write clean, efficient code in any of the programming languages like .NET Core (C#, ASP.NET), and Python for backend systems, and contributing to front-end development using React or Angular. • Solution Design: Partner with senior architects to design scalable, cloud-native application architectures, focusing on performance, maintainability, and integration in multi-cloud environments. • Integration Development: Build and maintain integrations using APIs, microservices, and event-driven patterns (e.g., REST, GraphQL, Kafka, or message queues). • Multi-Cloud Implementation: Develop and deploy applications across AWS, Azure, and Google Cloud, ensuring portability and optimization for cost and performance. • AI Integration: Implement practical AI features (e.g., automation, basic analytics) using cloud-based AI services or frameworks like TensorFlow or PyTorch. • Infrastructure Support: Collaborate with DevOps teams to implement containerized solutions (Docker, Kubernetes) and CI/CD pipelines, with hands-on use of IaC tools like Terraform or BiCep. • Performance & Security Optimization: Ensure applications meet performance and security standards through code reviews, testing, and adherence to best practices. • Team Collaboration: Work closely with developers, product managers, and infrastructure teams to translate requirements into technical implementations, providing hands-on support and mentorship. • Continuous Learning: Stay updated on full-stack development trends, cloud technologies, and AI advancements to contribute to innovative solutions. Qualifications & Skills: • Experience: 5 to 12 years of hands-on experience in full-stack development, with at least 2 years in a lead developer or junior architect role focusing on application-heavy systems. • Demonstrated experience building and deploying solutions in multi-cloud environments (AWS, Azure, Google Cloud). • Strong proficiency in .NET, and Python for backend development. • Hands-on experience with front-end frameworks like React, Angular, or similar. • Basic exposure to AI/ML integration, such as using cloud AI services (e.g., Azure Open AI, Azure Foundry, AWS SageMaker,) or simple ML frameworks. • Practical experience with integration patterns (e.g., REST APIs, message queues) and microservices architecture. • Familiarity with infrastructure tools like Docker, Kubernetes, and IaC (e.g., Terraform, BiCep). • Experience with cloud-native services (e.g., Azure Functions, LogicApps, ServiceBus etc.). • Working knowledge of DevOps practices, including CI/CD pipelines and monitoring tools. • Understanding of secure coding practices and basic enterprise security standards (e.g., IAM, encryption). Soft Skills: • Strong debugging and problem-solving skills with a hands-on mindset. • Clear communication to collaborate with technical and non-technical stakeholders. • Ability to juggle hands-on coding with architectural design contributions. • Eagerness to learn and adapt to new tools, frameworks, and cloud technologies. Education: • Bachelor’s degree in computer science, Engineering, or a related field. • Certifications like Azure Developer Associate, Azure AI Fundamentals or similar are a plus.