Role Overview
We are seeking a Technical Lead with strong hands-on development experience and proven expertise in full-stack architecture and advanced technologies. The ideal candidate will lead the design and development of scalable, enterprise-grade solutions while actively contributing to coding, architecture, and technical decision-making.
The ideal candidate will have strong hands-on experience. with .NET Core and React.js, a solid understanding of cloud-native architecture, and working experience with Azure DevOps.
Must-Have Skills
6-10 years of overall software development experience.
Strong hands-on expertise in .NET Core / C# for backend development.
Solid experience with React.js, JavaScript/TypeScript, and modern frontend frameworks.
Strong understanding of REST APIs, microservices, and distributed systems.
Hands-on working experience with Azure DevOps (Repos, Pipelines, Boards, Releases).
Experience with SQL Server and/or NoSQL databases.
Strong understanding of SDLC, Agile/Scrum methodologies, and delivery best practices.
Excellent problem-solving, debugging, and technical decision-making skills.
Good-to-Have Skills
Experience with Azure services (App Services, Functions, AKS, IoT Hub, Digital Twins).
Knowledge of CI/CD best practices, containerization (Docker/Kubernetes).
Experience in SaaS, platform-based, or product-driven environments.
Familiarity with performance optimization, security, and scalability for large platforms.
Key Responsibilities
1. Technical Leadership & Architecture
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Lead end-to-end architecture and design of full-stack, cloud-native applications.
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Define technical standards, best practices, and architectural guidelines.
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Drive system scalability, performance, reliability, and security.
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Review designs, code, and implementations to ensure high quality and maintainability.
2. Hands-On Development
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Actively contribute to development using.NET Core / C# and modern front-end technologies.
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Design and develop RESTful APIs, microservices, and distributed systems.
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Collaborate with teams on complex technical problem-solving and optimizations.
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Support integration of data-driven and AI/ML components into applications.
3. Advanced Technologies & Innovation
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Design and implement solutions leveraging Data Science, Machine Learning (ML), Deep Reinforcement Learning (DRL).
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Contribute to Digital Twin architectures, simulations, and real-time system modeling.
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Work with data pipelines, model deployment, and MLOps practices.
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Drive innovation by evaluating and adopting emerging technologies.
4. Team & Stakeholder Collaboration
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Mentor and guide engineers, fostering technical excellence.
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Collaborate with product, business, and engineering stakeholders to translate requirements into technical solutions.
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Support delivery planning, estimation, and technical risk management.
