Siemens Global Business Services (GBS) enables Siemens units worldwide and external customers to accelerate their business transformation into a sustainable and digital future.

Our goal is to optimize processes and provide services driven by expertise, in areas such as business administration, human resources, supply chain management, sales, marketing, and engineering. Through innovation and digitalization, we facilitate the achievement of a successful and sustainable transformation.

In our GBS Western Europe and Africa Hub we are already more than 1400 connected people, from over 57 different nationalities spread across 14 countries. Check here, and get to know more about GBS.

GBS Digital Solutions offer innovative technology solutions and customer-oriented digitalization services and co-develop digital solutions to solve our customers business challenges, leveraging our modern technology layer and partner ecosystem. We consult them with our holistic, 360° digital advisory service, encompassing the data-driven discovery of digitalization potential along their business processes.

Are you ready to be part of the change? Come join us!

Your mission will be…

Act in the technical advisor with all the principals for cloud-native solutions, guiding teams through architectural decisions and ensuring best practices are followed; Spearhead the development and implementation of our multi-cloud strategy, ensuring optimal resource utilization and cost efficiency; Partner with business stakeholders, data teams, and application teams to align solutions with business goals and provide technical mentorship and governance on AI solutions architectures; Champion DevOps practices across the teams/projects, building, maintaining, monitoring and optimizing AI/ML CI/CD pipelines that enable rapid and reliable software delivery; Enable observability, performance tuning, model versioning, and rollback strategies; Collaborate with data scientists to operationalize ML models in production and lead cloud solution architecture for AI workloads, including compute, storage, networking, and security; Drive security-first thinking in our cloud infrastructure, implementing robust security measures and ensuring compliance with Siemens, industry standards and regulatory compliance (e.g., GDPR, HIPAA); Lead proof-of-concept initiatives to evaluate new technologies and frameworks that could benefit our cloud ecosystem; Create and maintain technical documentation, architecture diagrams, and standard operating procedures that support our cloud operations.

We are looking for someone with…

Bachelor’s degree in computer science, Information Technology, or a related field; Extensive experience with major cloud platforms (AWS, Azure, or GCP), including IaaS, PaaS, and SaaS solutions; Strong understanding of cloud-native architectures and containerization; Experience with Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or ARM templates; Strong knowledge of serverless computing architectures, multithreading and related services; Strong background in cloud security principles and best practices; Advanced Python programming skills for automation and tool development; Strong understanding of software development, the best practices and design patterns (language agnostic); Solid knowledge of data engineering and streaming tools; Proven expertise in cloud-native AI/ML frameworks/pipelines. Examples: SageMaker, Azure ML, Vertex AI; Hands-on experience with MLOps. Examples: MLflow, Kubeflow, Airflow, CI/CD tools, etc; GenAI - based cloud solutions like OpenAI, Bedrock, etc; Experience with prompt engineering, LLM usage and best practices; Understanding of storage solutions and data lifecycle management; Understanding of API gateway implementations and management; Experience with message queuing systems; Ability to work in a self-organized team; Strong orientation to the customer is key; Experience leading technical teams and mentoring junior engineers; Ability to translate complex technical concepts to non-technical stakeholders; Fluent in English, speaking, reading, and writing (mandatory); Experience with Microsoft Teams chatbots/integrations (it would be a plus).

What you can expect from us…

A hybrid and flexible working model to promote a better work-life balance, along with a budget for home office support and the opportunity to do 16 hours a year of volunteer work. A health insurance, access to our on-site medical center, plus the chance to join sports groups.

In addition, you'll have access to online learning platforms and discounts with our partners. A shuttle bus to commute to the facilities and the possibility of financial support to your studies.

What makes us proud as an employer:

·        Merco – Companies and Leaders with the Best Reputation in Portugal (#1 Tecnology/Manufacturing)

·        Forbes – World’s Best Employers (#1 Engineering & Manufacturing)

·        LinkedIn – LinkedIn Top Companies (#2)

·        OnStrategy – REPSCORE 2024: Brands’ Reputation in Portugal (#1 Engineering & Electronic Services)

·        Fortune – World’s Most Admired Companies (#1 Industrial Machinery)

·        SSON – Top 20 most admired Shared Services Organizations and Global Business Services in 2024

Please attach your CV in English.

#Siemens #PeopleAtSiemens #GBSpartnerofchoice

Siemens is committed to creating a diverse environment and is glad to be an equal opportunity employer. We strongly encourage applications from a diverse talent pool!