Cloud Architect

We are seeking a visionary Automation Senior Cloud Solution Architect to lead the technical design and implementation of a transformative capability. This role is pivotal in architecting a scalable, AI-driven solution that seamlessly integrates advanced data processing, intuitive web interfaces, and intelligent automation. This position demands a strategic leader who thrives in complexity and is deeply committed to cultivating strong stakeholder relationships. You will play a key role in fostering a culture of innovation and collaboration, guiding cross-functional teams to deliver solutions that drive pricing transparency, operational efficiency, and market competitiveness. The ideal candidate will bring a unique blend of technical depth and strategic foresight, with a proven track record of leveraging cutting-edge technologies to deliver end-to-end automation at scale. The role will interface with Enterprise Architecture, business leaders, senior leaders, and Cyber/Privacy/Legal teams.

The following responsibilities and qualifications describe the expectations for this role.

• Champion Software Excellence & Talent Development. Promote strong SDLC practices including clean architecture, automated testing, and scalable design. Mentor junior developers through code reviews, technical guidance, and collaborative learning to foster a high-performing engineering culture.
• Lead Automation use cases architecture using technologies like GenAI, API, D&A, etc., working closely with Product Managers, automation engineers and stakeholders across business and DTS, and Enterprise Architecture.
• End-to-End Platform Development. Build and maintain front-end (React, TypeScript, Next.js) and back-end (Python, FastAPI, Node.js) layers that support GenAI workflows and agentic interactions.
• API & Agent Framework Integration. Design robust REST and GraphQL APIs for real-time agent communication, tool execution, and memory handling. Integrate frameworks such as LangChain, LangGraph, CrewAI, and vector databases (Pinecone, FAISS, Chroma, Weaviate).
• ETL & Data Pipeline Architecture. Architect and optimize ETL pipelines for real-time and batch data processing. Ensure seamless data flow between GenAI services, databases, and user interfaces.
• Cloud-Native Deployment & Monitoring. Deploy and scale services using Docker, Kubernetes, and CI/CD pipelines. Apply MLOps best practices for monitoring, versioning, and performance tuning of AI components.
• Cross-Functional Collaboration. Work closely with AI researchers, product managers, and delivery teams to align technical execution with strategic goals. Participate in multi-agent orchestration experiments and rapid prototyping cycles.

Technical Expertise:

• Cloud Platform Proficiency: Solid experience (minimum 5 years) in architecting, deploying, and managing applications across leading cloud platforms, demonstrating knowledge of cloud services including computing, database management, application development, and integration services. Familiarity with cloud-native services (Azure), containerization (Docker, Kubernetes), and serverless architectures is highly valued.
• Embedded Systems and CI/CD: Experience with embedded devices, operating systems, and server-client architecture. Proficient in CI/CD and DevSecOps practices.
• Architecture Design: Experience in Microservices and Event-Driven Architecture. Understanding architecture design principles and patterns. Experience with SQL Server, Web Services (SOAP/REST) and API development.
• .NET Development Skills: Extensive hands-on experience in building scalable, high-performance applications using .NET technologies, with strong capabilities in C#, .NET Core, ASP.NET, and Entity Framework. Knowledge of web technologies and frameworks, such as Blazor or ASP.NET MVC, is also crucial.
• Integration with SAP and Salesforce: Demonstrated ability to integrate .NET applications with both SAP and Salesforce platforms, employing APIs and middleware solutions like SAP Process Orchestration or API to facilitate robust data exchange and streamline workflows across these systems.
• Security and Compliance: Deep understanding of security practices related to cloud-hosted applications, including implementing secure authentication and authorization mechanisms (OAuth, OpenID Connect) and ensuring compliance with relevant industry security standards.
• Scalability and High Availability: Proven expertise in designing applications that are highly scalable and resilient, leveraging cloud scalability features such as load balancing, auto-scaling, and caching services to ensure optimal performance and availability.
• Agile Development Practices: Strong background in Agile methodologies, adept at managing product backlogs, user stories, sprint planning, and releases, particularly within a cloud-hosted application development environment.
• Strategic Problem Solving and Analytical Thinking: Ability to address complex technical and integration challenges with a strategic mindset, utilizing analytical and data-driven decision-making to optimize the application's performance and capabilities.

Specialized Skills:

• Prototyping: Ability to engage in rapid prototype development using iterative techniques.
• Vendor and Partner Engagement: Direct experience managing relationships with outsourcing and consulting partners.
• Cloud Architecture Design: Deep understanding of cloud solutions and architectures, enabling scalable, flexible, and resilient digital infrastructures that support rapid innovation and development.

Soft Skills and Others:

• Agile Collaboration: Demonstrated experience working with Agile and Product teams, including epics, user stories, sprints, and backlog management. Ability to collaborate closely with product owners, engineers, and scrum masters to foster a productive and agile environment.
• Leadership in Communication and Reporting: Skilled in leading communication efforts and reporting, adept at preparing and presenting updates to senior leaders and stakeholders. Ability to highlight key metrics, progress, and insights clearly and succinctly.
• Cross-functional Collaboration: Background in coordinating hardware & software development teams and business owners, with the ability to influence SMEs directly.

Long-term contract. The role involves leading the design and implementation of an AI-driven platform, interfacing with Enterprise Architecture, business leaders, senior leaders, and Cyber/Privacy/Legal teams.