| Multiple requirements for Solution Architect (AEM/ AEP), Sr. Platform Engineer & Data Platforms and Services - Solutions Architect background is must / Unity/ Collabera /azure data bricks at Seattle, Washington, USA |
| Email: [email protected] |
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Good Morning Friends, Multiple requirements for Solution Architect (AEM/ AEP), Sr. Platform Engineer & Data Platforms and Services - Solutions Architect background is must / Unity/ Collabera /azure data bricks Please share your updated CV with me at [email protected] and do not reply to this email, As you would not get a response from the same Candidates with fake experience are advised not to apply. To avoid fake experiences, if the client decides to interview you, they will validate all previous experiences for all projects as well as work documents (h1B, EAD, GC). Please be prepared to provide these. Any fraudulent document will be forwarded to the USCIS fraud division by default. Role: Solution Architect (AEM/ AEP) 10+ years Experience Mandatory. Work Location: Seattle, WA (Hybrid working is needed -3 days in office) Job Description Responsible for designing and implementing complex digital experiences by integrating Adobe Experience Manager (AEM), Adobe Experience Platform (AEP), eCommerce platforms, and microservices architecture, requiring expertise in creating seamless customer journeys across various touchpoints while leveraging the scalability and flexibility of microservices. Key Responsibilities: Architecture Design: Craft a comprehensive technical architecture that seamlessly integrates AEM content management, AEP customer data, eCommerce functionalities, and microservices to deliver personalized, contextually relevant experiences across channels (web, mobile, etc.). Microservices Integration: Design and develop microservices for specific functionalities like product search, cart management, payment processing, and user profile updates, ensuring efficient communication and data exchange between services. AEM Implementation: Lead the implementation of AEM components, templates, and workflows to manage content creation, personalization, and delivery while considering integration points with AEP and eCommerce systems. AEP Integration: Utilize AEP capabilities to collect, unify customer data across various sources, enabling real-time personalization and audience segmentation for targeted campaigns. eCommerce Integration: Design and implement integrations with chosen eCommerce platforms (like Magento, Shopify, etc.) to synchronize product data, order information, and user profiles across systems. API Development: Develop RESTful APIs to facilitate data exchange between microservices, AEM, AEP, and eCommerce systems, adhering to API standards and best practices. Technical Leadership: Provide technical guidance to development teams during implementation, ensuring alignment with the overall architecture and best practices for microservices development. Performance Optimization: Monitor system performance, identify bottlenecks, and implement optimizations to ensure scalability and fast response times. Required Skills: Adobe Technology Stack: AEM, AEP and corresponding capabilities for content management, customer data management, and personalization. Microservices Architecture using Spring Boot, Kubernetes, or similar. RESTful API Development using technologies like JSON, Swagger, and API Gateway. eCommerce Integration and workflows Relevant expertise in Azure Desired Qualifications: Experience with headless CMS concepts and implementation Familiarity with event-driven architectures and messaging systems like Kafka Strong communication and collaboration skills to work with cross-functional teams Role: Sr. Platform Engineer 10+ years Experience Mandatory. Work Location: Seattle, WA (Hybrid working is needed -3 days in office) Required: Adobe Integration experience Data dog New relic Kubernetes Administration AKS Hands on with Setting up Kubernetes clusters Kubernetes clusters for containerized applications. Scripting Power / Python Very strong with Terraform/ setting up terraform AI/ML platforms. Note This is a platform engineer role and not SRE or devops role. Role of platform engineer is different from SRE and Devops - Platform engineer will - Set up Kubernetes clusters need a very strong candidate on this Will set up AKS environment Will set up monitoring tools like Data Dog/ Splunk/ New Relic etc Some experience in Adobe Integration is good to have Platform Engineer = Design, deploy, and manage infrastructure solutions using Terraform, ensuring scalability, security, and reliability. Develop and maintain infrastructure as code scripts to automate the provisioning and configuration of resources. Implement and manage Kubernetes clusters for containerized applications. Collaborate with development teams to deploy, scale, and optimize applications in Kubernetes environments. Leverage scripting languages (e.g Python) to automate routine tasks and streamline workflows. Implement continuous integration and continuous deployment (CI/CD) pipelines for efficient software delivery. Ensure seamless integration of infrastructure components with CI/CD pipelines. Design, deploy, and maintain scalable and reliable infrastructure for AI/ML platforms. Implement containerization (Docker) and orchestration (Kubernetes) solutions for deploying and managing AI/ML applications. Ensure containerized applications are secure, scalable, and easily deployable. Enable seamless integration of AI/ML models into the platform, ensuring data pipelines are efficient and reliable. Establish monitoring and alerting systems to ensure the health and performance of AI/ML platforms. Implement security best practices for AI/ML platforms, ensuring data privacy and compliance with industry standards Role: Data Platforms and Services - Solutions Architect background is must / Unity/ Collabera /azure data bricks 15+ years Experience Mandatory. Work Location: Remote (Will prefer local to Seattle) Job Summary and Mission As a DPS Solutions Architect within the Clients Technology you will build and enhance the operational data hubs that serve as a unique, reliable source for core, aggregated and derived data of the Product domain. Deliver consistent product data across digital channels that include instore experiences to support various business models including global markets. The ADT (Architecture, Data and Emerging Tech) group is part of the Clients Technology organization. We are responsible for architecting, developing and managing the data platforms, data integrations, reporting and analytics solutions for the Clients enterprise business data. This role reports into the Clients Architecture function, working daily within the Product/Menu/Experience engineering and product team. As a member of the broader architecture community, you will also leverage established architectural design patterns and practices used within clients global IT operations. Supporting North America time zones, this role will provide guidance for market teams both in the United States and globally. Key Responsibilities Architecting highly scalable, distributed enterprise data solutions with focus on big data platforms and enterprise data warehouses for reporting & analytics Designing and developing highly scalable and flexible data platform solutions Designing and documenting architecture at multiple levels (high-level to detailed) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams) Providing active hands-on architectural guidance and leadership through the entire lifecycle of development projects Translating business requirements into conceptual and detailed technology solutions Collaborating closely with other architects and peers across the organization architecting and delivering solutions Performing third-party vendor assessments Developing and leading proof-of-concepts projects Keeping fluent in industry and marketplace evolution; continuously learning new data technologies and introducing these into the organization Technical Skills Comprehensive understanding of cloud computing platforms such as AWS, Azure, or Google Cloud Platform (GCP). Proficiency in utilizing cloud services to architect and deliver highly scalable, distributed, cloud-based enterprise data solutions. Knowledge of architectural design patterns suitable for building scalable and distributed systems in the cloud. Familiarity with patterns such as microservices, event-driven architecture, and serverless computing. Ability to design systems at various levels, including high-level conceptual models and detailed physical implementations. Expertise in optimizing the performance of cloud-based applications, especially in handling high Transaction Per Second (TPS) scenarios. Knowledge of techniques such as horizontal scaling, vertical scaling, caching mechanisms, and load balancing. Proficiency in backend development technologies and frameworks suitable for high-volume transaction processing. Knowledge of various database technologies, including relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra). Understanding of database design principles, data modeling, and optimization techniques. Implementation of best practices for fault tolerance, resilience, and scalability in backend systems. Knowledge of techniques such as redundancy, failover mechanisms, circuit breakers, and auto-scaling. Qualifications Overall IT experience - 15 years Variety of technical and engineering environments, Functional Systems Modeling,= 8 years Architecture experience 8-10 years Functional and Systems modeling - 7 years Indirect People Development - 7 years Business process and System design - 10 years Strategic planning - 3 years Running technology proof-of-concepts - 7 years Proficiency in cloud platforms such as AWS, Azure, or Google Cloud Platform. Excellent written, verbal, communication and presentation skills with the ability to articulate new ideas and concepts to technical and nontechnical audiences Excellent communication and interpersonal skills. Strong problem-solving skills and ability to think strategically about business and technical challenges. Your Success Our Commitment Finding Right Talent, Right Time Giridhar Reddy US IT Recruiter Office: +1-650-352-8686 Mobile : +1 (650) 609 3014 Website: www.devrabbit.com DevRabbit IT Solutions Inc 1180 Iron Point Rd, Suite 145, Folsom, CA 95630 Keywords: continuous integration continuous deployment artificial intelligence machine learning information technology green card California Washington Multiple requirements for Solution Architect (AEM/ AEP), Sr. Platform Engineer & Data Platforms and Services - Solutions Architect background is must / Unity/ Collabera /azure data bricks [email protected] |
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| 11:12 PM 21-Jan-25 |