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Siemens Solution Architect - Digital solutions 
India, Karnataka, Bengaluru 
614045509

20.03.2025

Key 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:

  • 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.

Good to Have:

  • Working experience in Industrial software
  • Enterprise solutions & Dashboarding
  • Handlining of complex AI/ML based solutions
  • Experience in LLMs

We focus on personal and professional development to grow internally within our organization.