Software Architect - Distributed Systems

As a Software Architect, your role will involve leading the architecture and development of AI-powered, distributed systems to meet enterprise-grade performance and security standards. You will leverage AI tools for code generation, architectural design, and documentation to accelerate delivery and improve quality. Your responsibilities will include designing, building, and maintaining services using Java and Node.js, following clean-code and secure design principles. Additionally, you will develop agentic AI-based tools, domain-specific copilots, and developer productivity enhancements. Your key responsibilities will include: - Leading the architecture and development of AI-powered, distributed systems - Leveraging AI tools for code generation, architectural design, and documentation - Designing, building, and maintaining services using Java and Node.js - Developing agentic AI-based tools, domain-specific copilots, and developer productivity enhancements - Collaborating with cross-functional teams to define modular, scalable, and compliant architecture patterns - Conducting technical design reviews and producing detailed documentation - Integrating AI solutions into CI/CD pipelines - Implementing robust monitoring and performance engineering practices - Continuously evaluating emerging AI technologies - Championing best practices in security, automation, and performance optimization Qualifications required for this role include: - 8+ years in software engineering with full-stack or backend development experience in Java and/or Node.js - 3+ years of experience with AI tools for development, prototyping, or documentation tasks - Experience with cloud-native development and containerized deployment (Docker, Kubernetes) - Knowledge of AI integration patterns, vector stores, prompt engineering, and RAG pipelines - Ability to design software architecture using sequence diagrams, ERDs, data models, and threat models - Comfort working with Gen AI-first environments and remote Agile teams Preferred qualifications include experience building AI copilots or developer tools using OpenAI/Claude SDKs, LangChain, or similar frameworks. Experience in a fast-paced AIDLC environment with a strong understanding of CI/CD practices is also desirable. Familiarity with GitHub Actions, Argo Workflows, Terraform, and monitoring/observability tools, as well as proficiency in Docker and Kubernetes for containerization and orchestration, is preferred. Experience with cloud computing platforms such as AWS, Azure, or OCI Cloud will be an added advantage. As a Software Architect, your role will involve leading the architecture and development of AI-powered, distributed systems to meet enterprise-grade performance and security standards. You will leverage AI tools for code generation, architectural design, and documentation to accelerate delivery and improve quality. Your responsibilities will include designing, building, and maintaining services using Java and Node.js, following clean-code and secure design principles. Additionally, you will develop agentic AI-based tools, domain-specific copilots, and developer productivity enhancements. Your key responsibilities will include: - Leading the architecture and development of AI-powered, distributed systems - Leveraging AI tools for code generation, architectural design, and documentation - Designing, building, and maintaining services using Java and Node.js - Developing agentic AI-based tools, domain-specific copilots, and developer productivity enhancements - Collaborating with cross-functional teams to define modular, scalable, and compliant architecture patterns - Conducting technical design reviews and producing detailed documentation - Integrating AI solutions into CI/CD pipelines - Implementing robust monitoring and performance engineering practices - Continuously evaluating emerging AI technologies - Championing best practices in security, automation, and performance optimization Qualifications required for this role include: - 8+ years in software engineering with full-stack or backend development experience in Java and/or Node.js - 3+ years of experience with AI tools for development, prototyping, or documentation tasks - Experience with cloud-native development and containerized deployment (Docker, Kubernetes) - Knowledge of AI integration patterns, vector stores, prompt engineering, and RAG pipelines - Ability to design software architecture using sequence diagrams, ERDs, data models, and threat models - Comfort working with Gen AI-first environments and remote Agile teams Preferred qualifications include experience building AI copilots or developer tools using OpenAI/Claude SDKs, LangChain, or similar frameworks. Experience in a fast-paced AIDLC environment with a strong understanding of CI/CD practices is also desirable. Familiarity with GitHub Actions, Argo Workflows, Terraform, and monitoring/observability tools, as well as proficiency in Docker and Kubernetes for