Responsive - Software Architect - SaaS

About The Role
Responsive is looking for a product-minded Software Architect with deep technical expertise and a strong track record of designing and scaling multi-tenant B2B SaaS applications.
We are looking for someone who can drive architecture across scalability, security, performance, reliability, and cloud-native systems, while also evaluating and adopting emerging technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and modern search technologies.
What You'll Be Doing
SaaS Architecture: Design and evolve scalable, secure, and reliable multi-tenant SaaS platforms.
Scalability & Performance: Architect systems to support growing customers, users, workloads, and data volumes while maintaining strong performance.
Security & Reliability: Define architecture for tenant isolation, access control, data protection, high availability, and fault tolerance.
Technical Leadership: Lead architecture reviews, drive key technical decisions, mentor engineers, and establish engineering best practices.
Cloud & Platform Engineering: Design cloud-native solutions across microservices, APIs, databases, caching, messaging, and containerized platforms.
Emerging Technologies: Evaluate and guide the adoption of LLMs, RAG, Agentic AI, AI orchestration, semantic search, and other emerging technologies.
Collaboration: Work closely with engineering, product, security, and infrastructure teams to align technology decisions with business goals.
Education
What We're Looking For :
Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
Experience
14+ years of software engineering experience, with at least 5 years in architecture or senior technical leadership roles.
Strong experience designing and scaling multi-tenant B2B SaaS or enterprise applications.
Skills, Qualifications & Ability
Deep understanding of multi-tenant SaaS architecture, including tenant isolation, data segregation, authorization, and configuration.
Strong experience with distributed systems, microservices, APIs, and cloud-native architectures.
Strong expertise in Java, Spring Boot, and backend system design.
Experience with React and modern frontend technologies, with a good understanding of frontend architecture and integration with backend services.
Experience with MongoDB, SQL/NoSQL databases, caching, messaging, and event-driven architectures.
Strong knowledge of scalability, performance optimization, high availability, fault tolerance, and disaster recovery.
Strong understanding of application security, cloud security, authentication, authorization, and data protection.
Experience with AWS, Azure, or GCP, Kubernetes, Docker, and CI/CD.
Experience with observability, monitoring, logging, and distributed tracing.
Understanding of LLMs, RAG, Agentic AI, AI agents, semantic search, vector search, and AI orchestration frameworks.
Strong problem-solving, communication, mentoring, and technical leadership skills.
What Can Help You Stand Out
Experience scaling multi-tenant SaaS platforms across large customers, users, and data volumes.
Experience leading major platform modernization, scalability, security, or performance initiatives.
Experience building or architecting AI-powered applications using LLMs, RAG, or Agentic AI.
Experience designing globally distributed, highly available cloud platforms.
(ref:hirist.tech)

Work arrangement
No