We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation - helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential.  

As part of the Siemens cloud operations organization, this position makes significant contributions towards the delivery of DevOps solutions that support best-in-class cloud based applications.  As a CD developer, you will be responsible for designing, developing, and maintaining our internal developer portal using Backstage, an open platform for building developer portals. The ideal candidate will have strong experience in software development, infrastructure automation, and CI/CD pipelines.

In this role, the successful person will create and maintain Internal Developer Portal that helps developers build, test, and deploy applications more efficiently. Streamline the software development process by automating routine tasks and providing a unified interface for developers to work across different platforms. Meet security compliance and best practice standards and are well documented.  Participate in, and sometimes lead, proof of concept and first-of-a-kind activities to validate product concepts.

Responsible for surpassing customer expectations to achieve high-quality, innovative solutions that are delivered on-time.  Has diversified knowledge of methods and practices in broad areas of infrastructure development and operations. Recognized by peers as a strong collaborator.  Must excel in a team environment that changes with new technology adoption and evolving customer requirements.  Works with some supervision on the most complex projects and desires to obtain complete latitude for independent judgment.  Has excellent written and verbal communication skills.

Design, develop, modify, and implement software programming for internal products with focus on surpassing customer expectations, on achieving high quality and on-time delivery. Responsible for ensuring the overall functional quality of the released product on all required platforms and mechanism. Ability to understand complex products, solutions, and problems. Creates, documents, and executes software designs which may involve significant re-architecture of important systems, defining and coordinating implementation of wide-reaching impacts. Acts as Technical lead of major projects within one area of a product. Frequently consults with customers regarding future upgrades and products. Influences the technical direction for one area of a product. Promotes innovation through the ability to introduce new technology/knowledge into at least one area of a product and to our people. Provides high-level technical expertise, including performing in-depth and complex software systems programming and analysis. Provide problem resolution and technical leadership for the group. Possesses broad knowledge of internal operating systems, applications implications and customer areas. Technical Lead in guiding junior engineers. Works without supervision on highly complex projects with complete latitude for independent judgment and technical expertise. Extensive knowledge of the field.

Key Responsibilities:

• Design and maintain infrastructure supporting AI/ML workloads and AI-driven development initiatives.
• Integrate and manage Large Language Model (LLM) APIs such as OpenAI, Azure OpenAI, AWS Bedrock, or similar platforms.
• Support prompt engineering practices and enable internal teams to effectively leverage LLM capabilities.
• Deploy, monitor, and optimize AI/ML models in production environments following MLOps best practices.
• Implement monitoring, observability, and governance mechanisms for AI model performance and reliability.
• Support and integrate AI agent frameworks such as LangChain, LangGraph, and AutoGen.
• Design and implement Retrieval-Augmented Generation (RAG) architectures and AI orchestration platforms.
• Work with vector databases and semantic search technologies to enable advanced AI-powered search capabilities.
• Enable the use of AI-powered development tools (e.g., GitHub Copilot or similar) within secure enterprise environments.
• Evaluate and implement responsible AI practices, including bias detection, transparency, explainability, and governance frameworks.
• Ensure AI/ML workloads adhere to security best practices, including secure API integrations, access controls, data privacy, and model protection strategies.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or related field.
• Proven experience as a Software / DevOps / Platform Engineer delivering enterprise-grade cloud or SaaS solutions across the full SDLC.
• Strong programming skills in Java, Python, and/or Go.
• Hands-on experience with AWS and/or Azure, Kubernetes, Docker, and container orchestration.
• Strong knowledge of microservices architecture, API development (REST/GraphQL), asynchronous processing, and cloud-native design.
• Experience with CI/CD pipelines, Git (GitLab/GitHub), and Infrastructure as Code (e.g., Terraform, Ansible, ArgoCD, Jenkins).
• Experience securing CI/CD and cloud environments (secrets management, container scanning, runtime security, compliance).
• Familiarity with cloud monitoring and observability tools (e.g., Prometheus, Grafana, Datadog, CloudWatch).
• Experience working with internal developer portals (e.g., Backstage), service catalogs, and developer enablement platforms is a strong plus.
• Strong understanding of cloud security, web application security, and information security best practices.
• Experience with AI/ML frameworks and deploying AI models in production environments (MLOps practices).
• Experience working with LLM APIs (e.g., OpenAI, Azure OpenAI, AWS Bedrock) and prompt engineering.
• Knowledge of RAG architectures, AI orchestration platforms, and AI agent frameworks (e.g., LangChain, LangGraph, AutoGen).
• Understanding of vector databases and semantic search technologies.
• Ability to implement responsible AI practices, including bias detection, governance, and AI workload security.
• Experience leveraging AI-powered development tools (e.g., GitHub Copilot).
• Experience working in Agile/Scrum environments.
• Strong problem-solving, communication, and stakeholder management skills.
• Ability to manage projects, define scope, track milestones, and communicate technical concepts to both technical and business audiences.

Working at Siemens Digital Industries Software

Why us?

Working at Siemens Digital Industries Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Siemens Software. Transform the Everyday

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