Job Title

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.