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Cloud Solutions Architect

Siemens

The Role

Overview

Design and guide cloud-native solutions for Siemens Mobility rail systems.

Key Responsibilities

  • cloud architecture
  • design review
  • cost optimization
  • prototyping
  • tech guidance
  • team mentoring

Tasks

-Communicate complex technical concepts and architectural decisions to both technical and non-technical audiences. -Mentor and guide engineering teams on architectural patterns, cloud best practices, coding standards, and effective use of cloud services. -Define architectural patterns, principles, and best practices for cloud development and deployment. -Collaborate with product managers, business analysts, engineering leads, and other stakeholders to translate business requirements into technical solutions. -Lead the design and evolution of scalable, secure, resilient, and cost-effective cloud-native solutions aligned with business objectives and enterprise standards. -Develop proof-of-concepts, prototypes, and critical system components to validate architectural decisions. -Conduct architectural reviews and provide technical guidance to development teams. -Advise on cloud cost optimization, performance tuning, security best practices, and compliance. -Troubleshoot and resolve complex technical issues across application code, cloud infrastructure, and integrations. -Actively contribute to the codebase for complex or foundational elements, ensuring high-quality, maintainable code. -Drive adoption and optimal utilization of cloud services (IaaS, PaaS, Serverless) from major providers (AWS, Azure, GCP) or Siemens frameworks.

Requirements

  • python
  • aws
  • docker
  • kubernetes
  • ci/cd
  • computer science

What You Bring

-Superior communication and interpersonal skills. -Strong experience with architecting and designing modern APIs and integration patterns. -Deep hands-on experience with at least one major public cloud provider (AWS, Azure, or GCP), including compute, serverless, databases, networking, storage, and security services. -Familiarity with CI/CD tools and practices (e.g., GitLab CI, GitHub Actions). -Domain knowledge in Rail and Measurement systems (highly desirable). -8+ years of progressive experience in software development, with at least 3–5 years in a Solutions Architect, Lead Engineer, or similar architectural role. -Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field. -Understanding of cloud security best practices, IAM, and compliance. -Experience with containerization (Docker) and orchestration (Kubernetes, Docker Compose, Swarm). -Cloud certifications (e.g., AWS Solutions Architect Professional, Azure Solutions Architect Expert, GCP Professional Cloud Architect) are highly desirable. -Strong leadership and mentorship abilities. -Proven experience designing and implementing measurement systems in complex integrated environments. -Excellent analytical, problem-solving, and debugging skills. -Exceptional proficiency in Python or Node.js/TypeScript; experience with React/Vue and front-end development.

Benefits

-Positive, inclusive and relaxed working environment -Employee discount program -Siemens Share Options -Novated leasing available -Flexible working arrangements -Industry leading parental leave package

The Company

About Siemens

-The company drives progress with solutions in electrification, automation, and digitalization across industries. -With cutting-edge products and services, it leads sustainable innovation for industries like energy, manufacturing, and infrastructure. -Its impressive portfolio includes smart grids, automated factories, advanced healthcare technologies, and solutions for urban mobility. -Siemens’ digital solutions enhance efficiency and sustainability in everything from smart buildings to electric vehicles. -It has contributed to iconic projects, including energy-efficient train systems and automation in key industrial sectors. -Transforming how industries use digital technology to optimize operations and tackle global challenges.

Sector Specialisms

Industrial Automation

Building Automation

Rail Transport

Health Technology

Factory Automation

Process Industries

Pharmaceuticals

Chemicals

Food and Beverage

Electronics

Semiconductors

Power Systems

Healthcare

Transportation

Energy

Infrastructure

Digital Industries

Industrial Control Systems

Sensors

Radio-Frequency Identification

Product Lifecycle Management

Simulation and Testing

Cloud-based IoT

Software as a Service

Digital Twins