Software Engineer

Overview Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software. About The Role We are a leading global software company dedicated to creating cloud hosted foundational service to cater to software applications for various industrial use cases.

We are seeking an experienced full stack developer software engineer to join our team in building core data and Artificial Intelligence platform. Responsibilities Design, hands-on development, modification, and implementation of modular services for Data Mesh and Agentic AI use cases. Ensure the overall functional quality of the released product on all required platforms and mechanisms.

Understand sophisticated products, data models, and communication protocols. Strong understanding of Agentic AI and RAG. Mentor and provide technical guidance to a team of software engineers through the complete lifecycle of software development.

Create, document, and implement software designs which may involve complicated workflows or multiple product areas. Collaborate regularly with other test engineers within the R&D Unit to set and drive the overall development strategy. Provide guidance, coaching, and apply innovative approaches to improve productivity, efficiency, and quality of the product.

Set the strategy and approach of non-functional requirements like performance and scalability. Drive automation wherever possible. Technical Requirements 1 year of programming experience developing commercial software products using Python, Java, TypeScript, NodeJS is preferred.

Experience in full stack development implementing microservice architecture leveraging cloud-native PAAS services. Understanding of RAG, Agentic AI and Data Mesh architecture design principles. Strong knowledge of computer science fundamentals in object-oriented design, data structures, data modeling, algorithms.

Hands-on experience in developing software solutions using cloud-native services on AWS. Experience with AWS services like EKS, SQS, Bedrock, Agent Core, SageMaker. Experience with Agent Frameworks like Strands, Langgraph, LangChain.

Hands-on experience in AI/ML implementing vector services and RAG pipelines. Experience with SDKs, distributed systems, RDBMS, microservice architecture. Experience with FastAPI, RESTful APIs, Microservices, containerization, OpenTelemetry.

Experience in working with GitLab, NPM, SonarQube, Terraform, Helm Charts. Experience in writing unit tests, feature integration tests, and automation using Postman, Newman, JMeter. Experience in SQL and/or NoSQL database concepts.

Experience in system design and API design. Business Requirements Ability to collaborate across disciplines, roles, and geographical/time zone boundaries. Experience with Agile development, CI/CD, and Test-Driven Development (TDD).

Proficiency in cross-location communication and English language. Flexibility to adapt to different stakeholders and environments. Willingness to work in an open-feedback environment focused on continuous improvement.

Experience with challenging business partners to uncover the right requirements and clearly scope requests or ideas. Experience with quickly learning about and familiarizing yourself with different business domains. Experience with collaborator management between different business units and management levels. #J-18808-Ljbffr