Digital Software Architect

5 hours ago

Bengaluru, Karnataka, India beBeeSystemArchitecture Full time ₹ 1,04,000 - ₹ 1,30,878

System Architect Job Summary

We are seeking an experienced System Architect to design, develop, and implement scalable software solutions using .Net Core, C# and cloud technologies.

  • Main Responsibilities:

  • Design & Development: Architect, design, and implement software solutions using .Net Core, C# and cloud technologies.

  • Distributed Systems: Develop scalable distributed systems, implementing messaging solutions.

  • Cloud Expertise: Develop and deploy applications on leading cloud platforms, ensuring scalability and performance.

  • Technical Leadership: Provide technical direction, code reviews, and mentorship to the development team.

  • System Integration: Lead efforts in application integration, ensuring seamless interoperability.

  • Innovation & Problem Solving : Propose innovative solutions to complex challenges, staying updated with industry trends.

  • Testing & Documentation: Ensure robust testing and maintain comprehensive documentation.

Mandatory Requirements:

  • Key Skills and Qualifications:

  • 15+ years of hands-on experience in software development.

  • Expert Solution Architect with a solid track record in system design, specializing in backend technologies and the integration of Operational Technology (OT) and automation systems.

  • Proficient in architecting microservices-based solutions to create scalable, maintainable, and efficient software systems.

  • Experienced in working with modern connectivity protocols and messaging systems such as MQTT, Nats, and industrial standards like OPC UA, Modbus, and S7 to ensure robust system communication.

  • Experienced in utilizing a variety of database management systems and data exchange formats to optimize data storage, retrieval, and interoperability.

  • Knowledgeable in implementing gRPC for high-performance, cross-language services communication, ensuring seamless and efficient data exchange.

  • Adept at orchestrating containerized applications with Docker and managing service deployment with Kubernetes, promoting high availability and fault tolerance.

  • Implements Azure DevOps for streamlined CI/CD pipelines, accelerating the delivery of robust and reliable software components + Azure Cloud.

  • Integrates machine learning and data science capabilities into architectural designs to harness predictive analytics and intelligent decision-making, enhancing system capabilities.

  • Maintains a strong focus on the latest industry trends, including connectivity protocols and messaging systems, to deliver state-of-the-art solutions in sync with modern infrastructure demands.

Desirable Skills:

  • Working experience in Industrial software

  • Enterprise solutions & Dashboarding

  • Handlining of complex AI/ML based solutions

  • Experience in LLMs

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