SourceFuse Technologies hiring Technical Architect with 10+ years of experience.Job Overview: You will play a key role in designing and evolving multi-tenant SaaS product architectures that support high scalability, tenant isolation, extensibility, and long-term product evolution. This roleinvolves architecting a high-scale SaaS-oriented product that is deployed in customer-managed Kubernetes-based data centers. The architect must design systems that operate without relianceon managed cloud services, leveraging open-source components, distributed system principles, and robust security practices. In addition to architecting robust backend systems, you will play a key role in enabling intelligent, functional, and aesthetic user experiences — leveraging the latest in AI and automation to boost team productivity and product intelligence. This role also includes the exploration and integration of Generative AI technologies and AI-enhanced developer tooling to streamline development, testing, and delivery cycles.Key Responsibilities: Collaborate closely with development and delivery teams to enable scalable, high-performance software solutions. Design cloud-native architectures deployable on self-managed Kubernetes clusters. Architect multi-tenant SaaS capabilities including tenant isolation, configuration management, and extensibility. Define scalable service-to-service communication patterns using open standards. Ensure system resiliency through proper handling of failures, retries, circuit breakers, and eventual consistency. Design distributed data strategies (caching, replication, sharding where required). Select open-source components with strong community support and minimal vulnerability footprint. Define secure architecture patterns including zero-trust principles, encryption at rest/in transit, secrets management, and secure configuration handling. Conduct architecture-level threat modeling and security design reviews. Drive API governance, versioning, backward compatibility, and modular extensibility. Participate in client meetings as a technical expert to gather business and technical requirements and translate them into actionable solutions. Remain technology-agnostic, with a strong awareness of emerging tools, including AI-based solutions. Lead R&D initiatives around Generative AI, AI-driven automation, and productivity tooling to enhance engineering efficiency and code quality. Work cross-functionally with clients and project teams to capture requirements and devise intelligent, future-ready solutions. Identify opportunities to integrate AI-based code generation, automated testing, and AI-enhanced observability into the SDLC. Mentor teams on the adoption of GenAI tools (e.g., GitHub Copilot, ChatGPT, Amazon CodeWhisperer) and establish governance around their responsible use. Drive innovation in architecture by exploring AI/ML APIs, LLM-based recommendation systems, and intelligent decision engines.Education:More than formal degrees, we're looking for someone who has the skills, curiosity, and initiative to deliver the responsibilitiesmentioned above — including the capacity to evaluate and leverage AI-driven technologies for real-world challenges.Skills & Abilities: Deep understanding of distributed systems fundamentals Strong expertise in Kubernetes-based system design (pods, services, networking, autoscaling concepts). Experience designing containerized systems for customer-managed K8s clusters. Strong knowledge of CNCF ecosystem tools (Kubernetes, Prometheus, Grafana, OpenTelemetry). Experience architecting systems without dependency on proprietary managed cloud services. Strong understanding of application and infrastructure security principles. Experience working with open-source stacks and managing vulnerability risks (CVE awareness, dependency scanning). Knowledge of secure software design principles (OWASP Top 10, threat modeling). Experience designing systems with encryption, secrets management, and secure configuration practices. Familiarity with compliance and data protection considerations in multi-tenant systems. Expert-level experience in full stack development using Node.js and Angular. Proficiency in architecting solutions from the ground up, from concept to production. Strong advocate of Test-Driven Development with hands-on implementation. Practical knowledge of microservices architecture, patterns, and scalability principles. Awareness and practical usage of observability tools and distributed tracing. Knowledge of LoopBack 4 is a plus. Bonus: Experience using or integrating GenAI tools for tasks such as: Code scaffolding and refactoring Automated documentation generation Unit test cases generation Intelligent API design Semantic search and natural language processing Prompt engineering and fine-tuning of LLMsExperience : 10+ years designing scalable distributed systems Proven experience designing Kubernetes-native architectures Experience building systems deployed on self-managed or on-prem Kubernetes clusters Experience designing secure, open-source-based production systems Experience architecting multi-tenant SaaS solutions Experience handling production failure scenarios and designing for resilience in distributed environments. At least 1–2 years of practical exposure to AI-enhanced development workflows or GenAI technologies is highly desirable.