Solution Architect - Digital solutions

Job description

• Siemens EnergyDigital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. We are looking for an experienced Software Architect to join our diverse team. This role focuses on delivering high-quality, scalable solutions, leveraging expertise in .Net Core andC# development, cloud technologies, and system design to surpass customer expectations.

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