Job Description

As a Domain Architect for Security Products and AI-augmented use case deployment, you will drive requirements, design, and architectural governance for cloud-native applications across CNF environments and public cloud (Azure). This role is central to delivering scalable, secure, and high-quality designs aligned with product and regulatory expectations.

You will translate stakeholder needs into high-level architectures, workflows, and development-ready designs, while also building AI-assisted code frameworks and PoCs for complex features.

This is an opportunity to shape next-generation security products, leverage cutting-edge AI and cloud technologies, and establish architectural standards from the ground up.

• Engage with stakeholders to translate business needs into clear technical requirements
• Collaborate with product managers, customer teams, and global engineering teams
• Leverage AI tools to convert requirements into user stories, acceptance criteria, and high-level designs
• Develop workflow, sequence, and architecture documentation with AI assistance
• Create AI-generated code scaffolding for backend and frontend components
• Build Proof of Concepts (PoCs) to validate complex solutions
• Guide development and deployment teams on architectural decisions and design patterns
• Provide technical leadership in cloud-native application design and modernization
• Mentor teams on using AI for design, deployment, best practices, documentation, and coding

You Have:

• Bachelor’s/Master’s degree in Engineering, Telecommunications, or Computer Science with 12+ years in system architecture and cloud-native application development
• Experience using AI tools for design, documentation, diagramming, and code generation to build scalable, secure solutions
• Proven experience as a System Architect, Design Architect, or Technical Lead
• Strong knowledge of microservices, containers/Kubernetes, observability, monitoring, and security/compliance frameworks

Nice-to-Have

• Strong backend expertise (Java, Python, REST APIs), databases (Postgres, MySQL, MariaDB, NoSQL), and DevOps/CI-CD automation
• Ability to rapidly build PoCs using AI-generated components, with flexibility to meet evolving production timelines