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Key Responsibilities
Provide Technical Advisory
Work closely with various business and technical team members, data scientists and technology partners to help design modern head-less, microservices based, API-First and data-driven application architectures.
Develop guidelines for cloud native and hybrid cloud deployment policies,scriptsand templates for scalable & reliable cloud software deployment models.
Create repository of partner resources including various Siemens software API’s, SDK libraries, tools, connectors, use cases and documentation for partner access
seeking
Design Reference Architectures
Design, develop, andmaintainflexible, re-usable AWS cloud-based reference architectures for our Partner Enablement
Develop AWS cloud application templates based on various design patterns including event driven, strangler fig, API routing microservices, distributed publish-subscribe, data-mesh, containerized modules, hybrid on-prem & cloud deploy ready.
Demonstrate Application Integrations & Connectors
Opcenter, Insights Hub etc.) and other 3rd party, applications like CRM (Salesforce) and ERP (SAP) using APIs, Hub & spoke, Enterprise Bus, and other modern technologies.
Partner Training & Advocacy
Develop technical content, documentation, and guidelines for technology partners to build robust, secure, and scalable cloud solutions.
Work with technology partners to help design, develop, integrate, and onboard new partner applications on Siemens accelerator cloud to ensure the best partner experience.
Partner Software Assessment
Help partners review software quality, data security, reliability and incidence response guidelines using industry standards and best practices.
Required Qualifications
5+ years’ experience in developing AWS cloud-based enterprise applications.
Strong experience with AWS Tech stack including:
Compute services like EC2, Lambda, EKS, SQS, IoT Hub, Lambda
Security services including AWS IAM, CloudWatch, CloudTrail, API Gateway
Storage & Database services: S3, RDS, DynamoDB
Deployment Tools: Docker, Kubernetes
Programming languages: Java, C++, Python, Node.JS, or JavaScript
in designing modular, reusable components with microservices and APIs.
Strong architectureknow-howof various software design patterns, distributed systems architecture, resiliency, and data security
Broad knowledge of web standards relating to APIs such as REST, SOAP, XML, WSDL, HTTP, JSON, etc.
Strong interpersonal skills, with the ability to build trust and rapport across various functions,culturesand geographies.
communityand leadership
Preferred Qualifications
Professional AWS certified Solution Architect withknow-howof Well Architected Framework
Experience in Software development in Industrial verticals
SolidEdge&Mendix
Exposure to ML,GenAIand Agentic AI applications
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