Software Engineer Senior

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.

• As Senior/Lead Developer on an innovation team, design and build microservices, MCP servers, and productize agentic AI capabilities that empower existing development teams across Life cycle collaboration products.
• Create reusable frameworks, SDKs, policies, and integrations that enable secure, reliable, and measurable code generation, autonomous workflows, and retrieval-augmented solutions.
• Design, develop, modify, and implement software for products (internal and external) with a focus on surpassing customer expectations, high quality, and on-time delivery.
• Ensure the overall functional quality of the released product on all required platforms and mechanisms.
• Understand complex products, solutions, and problems; create, document, and execute software designs that may involve significant re-architecture.
• Act as Technical Lead of major projects within one area of a product and guide junior engineers.
• Lead and mentor junior software engineers.

• Design, develop, modify, and implement software for products.
• Provide innovative solutions to problems in the area of acknowledged expertise.
• Use specialized knowledge to provide technical solutions.
• Implement code, perform code reviews, and software integration.
• Maintain and support current software tools.
• Gather requirements from users and incorporate them into tools; implement new functionality and ensure alignment with design.
• Ensure appropriate code reviews and unit tests are performed.
• Communicate and consult with other developers and customers.
• Review designs and implementations of other projects as required.
• Manage assigned projects including defining scope, plans, schedules, and deliverables.
• Research and maintain technical expertise in area of specialty by following technical advances in industry and academia.
• Perform research to determine possible technical solutions to long-term technical issues.
• Proactively communicate status of all projects, tools, and environments.
• Develop new ideas and document all processes and procedures.

• Strong time management skills and the ability to be self-directed.
• Experience with service-oriented architecture and web application/services development.
• Experience with Object Oriented modern JavaScript Frameworks (Angular
  
  JS, Ember
  
  JS, Dojo, etc.).
• Experience with UI/UX design for complex workflows and/or for technical end users / domain experts.
• Experience building complex, scalable, high-performance software systems delivered to customers.
• Active on Github or Stack Overflow.
• Comfortable with the Linux command line and Git.
• Sharp analytical abilities and proven design skills.
• Experience with distributed computing and enterprise-wide systems.
• Experience communicating with users, other technical teams, and senior management to collect requirements, describe software product features, technical designs, and product strategy.
• Experience leading and mentoring junior software engineers and making them more effective software engineers.
• Understanding of microservice development and best practices.

• Typically requires eight to eleven years of experience and a bachelor’s or master’s degree in computer science, engineering, or equivalent.
• Knowledge of professional software engineering best practices.
• Knowledge of Cloud Platforms (AWS, Azure, Google) and experience in building microservices.
• Agent Frameworks: design and maintain agent runtimes, secure function-calling, tool integrations, and orchestration patterns.
• Developer Accelerators: create SDKs, APIs, templates, and IDE extensions that enable code generation, test creation, and documentation synthesis.
• Enablement and Adoption: pair with Product management to onboard use cases, deliver workshops, playbooks, and office hours; remove blockers and ensure successful rollout.
• Quality and Safety: implement error analysis, spec-driven development, and BDD-based testing; enforce guardrails, privacy, and policy compliance.
• Observability and Reliability: instrument agentic services for metrics, logs, and traces; define SLIs/SLOs and operational runbooks.
• Collaboration:
  
  work closely with Dev Ops, Platform Engineering, Security, and Product to deliver end-to-end outcomes and measurable ROI.
• Continuous Improvement: capture feedback, iterate on accelerators, and publish reference architectures and best practices.