Role Overview: We are seeking a Senior Full stack Developer, 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
6-9 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
Technical Leadership
& Architecture
Lead end-to-end architecture and design of full-stack,
cloud-native applications.
Define technical standards, best practices, and
architectural guidelines.
Drive system scalability, performance, reliability, and
security.
Review designs, code, and implementations to ensure
high quality and maintainability.
Hands-On Development
Actively contribute to development using.NET Core /
C# and modern front-end technologies.
Design and develop RESTful APIs, microservices, and
distributed systems.
Collaborate with teams on complex technical
problem-solving and optimizations.
Support integration of data-driven and AI/ML components
into applications.
Advanced Technologies
& Innovation
Design and implement solutions leveraging Data Science,
Machine Learning (ML), Deep Reinforcement Learning (DRL).
Contribute to Digital Twin architectures,
simulations, and real-time system modeling.
Work with data pipelines, model deployment, and MLOps
practices.
Drive innovation by evaluating and adopting emerging
technologies.
Team & Stakeholder
Collaboration
Mentor and guide engineers, fostering technical
excellence.
Collaborate with product, business, and engineering
stakeholders to translate requirements into technical solutions.
Support delivery planning, estimation, and technical
risk management.
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