Cloud Architect

We are seeking a visionary Automation Senior Cloud Solution Architect to lead the technical design and implementation of this 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.

Long term contract

• 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.
• 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. Knowledge of 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 (C#, .NET Core, ASP.NET, Entity Framework). Knowledge of web technologies/frameworks such as Blazor or ASP.NET MVC.
• Integration with SAP and Salesforce: Ability to integrate .NET applications with SAP and Salesforce platforms via APIs and middleware.
• Security and Compliance: Understanding of cloud security practices, secure authentication/authorization mechanisms (OAuth, OpenID Connect), and industry security standards.
• Scalability and High Availability: Designing highly scalable and resilient applications with cloud features like load balancing, auto-scaling, and caching.
• Agile Development Practices: Experience with Agile methodologies, backlog management, sprints, and releases in cloud-hosted environments.
• Strategic Problem Solving and Analytical Thinking: Ability to address complex technical and integration challenges with data-driven decisions.

Specialized Skills:

• Prototyping: Rapid prototype development using iterative techniques.
• Vendor and Partner Engagement: Experience managing outsourcing/consulting partner relationships.
• Cloud Architecture Design: Deep understanding of scalable, flexible cloud architectures supporting rapid innovation.

Soft Skills and Others:

• Agile Collaboration: Effective collaboration with Agile and Product teams, including epics, user stories, sprints, and backlog management. Work with product owners, engineers, and scrum masters.
• Leadership in Communication and Reporting: Ability to prepare and present updates to senior leaders and stakeholders, highlighting key metrics and insights.
• Cross-functional Collaboration: Experience coordinating hardware & software development teams and business owners.

Job Summary (continued): This description preserves the core responsibilities and qualifications intended for the role while removing extraneous duplicates and inconsistent formatting.