About JOSYS
Josys, a dynamic B2 B Saa S platform startup, has embarked on a mission to revolutionize IT operations globally, following an exceptional launch in Japan and securing $195 million in Series A and B funding. Our platform enables businesses to conquer the complexities of work-from-anywhere setups, rapid digital transformation, and the proliferation of Saa S applications by simplifying, optimizing, and securing their IT operations.
With a presence in 9 countries, including Japan, India, and the USA, our cutting-edge product technology center is located in Bengaluru, India. As we continue our rapid expansion, we aim to double our full-time employee headcount in 2024, enhancing our capacity to innovate and deliver.
Josys was spun off from RAKSUL, a celebrated Japanese unicorn and Forbes Startup of the Year 2018, which is renowned for driving transformation through three pioneering B2 B e-commerce platforms.
About the role
We are seeking a skilled Full Stack Enterprise Software Architect to join our team and help us build innovative and scalable applications for Josys. The ideal candidate will be responsible for designing, developing, and maintaining full-stack software that meet our company's business requirements and user needs.
To be successful in this role, the candidate must have a strong understanding of software architecture and design principles, as well as experience working on Saa S applications. Additionally, the candidate MUST have experience with scaling applications and systems preferably working on building cloud native Saa S applications in 1→10 or 10→100 growth scenarios.
Key Responsibilities: Define and drive enterprise architecture strategy, technology roadmaps, and engineering standards aligned with business growth objectives and long-term platform scalability. Lead architecture governance and design review processes to ensure consistency, scalability, security, reliability, and maintainability across all engineering initiatives. Partner with Product, Engineering, Infrastructure, Security, and Compliance teams to align technology decisions with business priorities and operational goals. Architect and design scalable, resilient, secure, and high-performance cloud-native Saa S platforms and distributed systems leveraging Node.js and modern microservices architectures. Define secure architecture patterns aligned with SOC2, ISO27001, GDPR, and enterprise security best practices, including authentication, authorization, tenant isolation, encryption, audit logging, and secrets management. Design cloud-native platform capabilities including observability, resiliency, fault tolerance, disaster recovery, multi-region readiness, and automated scalability. Partner with engineering and infrastructure teams to optimize cloud architecture, operational efficiency, system reliability, and platform cost management. Define and implement API architecture standards and integration frameworks to enable secure, scalable, and seamless communication across internal platforms and external systems. Collaborate with external technology partners and vendors to evaluate, integrate, and optimize third-party platform capabilities. Evaluate and incorporate emerging technologies, AI-assisted automation, and intelligent workflow capabilities into the enterprise platform architecture strategy where applicable. Create and maintain architecture documentation including system diagrams, technical standards, data models, integration specifications, and architectural decision records (ADRs). Mentor and guide engineering teams on architecture best practices, engineering standards, scalability principles, and high-quality software design through technical leadership and design reviews. Stay current with evolving trends in cloud-native technologies, Saa S platforms, distributed systems, security, and enterprise architecture practices to continuously improve platform capabilities and engineering maturity.
Requirements / Qualifications: 10+ years of experience in software engineering with at least 6 years in a hands-on Architecture role designing and delivering scalable enterprise Saa S platforms. Proven experience architecting and building cloud-native, Saa S applications capable of supporting high growth and large-scale distributed workloads. Strong understanding of modern AI/ML concepts, including Generative AI, LLMs, NLP, embeddings, vector search, RAG, and AI orchestration patterns. Strong expertise in designing and implementing distributed systems, microservices architectures, RESTful APIs, Graph QL services, and event-driven integration patterns. Extensive hands-on experience with Node.js and related technologies for building scalable, reliable, and high-performance systems. Deep understanding of cloud-native architecture and experience working with AWS, Kubernetes, Docker, and modern container orchestration platforms. Experience driving platform engineering, Infrastructure-as-Code (Ia C), and CI/CD automation initiatives using tools such as Terraform, Helm, Git Hub Actions, Jenkins, or equivalent technologies. Strong knowledge of relational and No SQL database technologies, data modeling, indexing strategies, caching, and scalable data processing architectures. Experience designing secure enterprise systems with knowledge of authentication, authorization, encryption, secrets management, audit logging, and secure software development practices. Familiarity with enterprise security and compliance frameworks. Experience implementing observability, resiliency, fault tolerance, disaster recovery, and high-availability architecture patterns for mission-critical systems. Hands-on experience building and managing integrations with third-party Saa S platforms using SDKs, REST APIs, and secure data exchange mechanisms. Experience with Elasticsearch, search architecture, and scalable querying solutions is highly preferred. Exposure to Ruby on Rails, Golang, or additional backend technologies is a plus. Strong understanding of software architecture principles, design patterns, scalability engineering, and engineering best practices. Ability to define architecture standards, technical governance processes, and development best practices across engineering organizations. Understanding of AI security, privacy, governance, and compliance considerations for enterprise applications. Experience leveraging AI-assisted engineering tools such as Git Hub Copilot, Cursor, or similar developer productivity platforms. Strong computer science fundamentals including data structures, algorithms, concurrency, distributed computing, and system design. Excellent analytical, problem-solving, and decision-making skills with the ability to balance technical trade-offs and business priorities. Excellent communication, stakeholder management, and cross-functional collaboration skills with the ability to influence technical direction across teams. Experience mentoring engineers and conducting architecture reviews, code reviews, and technical design evaluations. Familiarity with Agile/Scrum development methodologies and experience working in fast-paced product engineering environments. Bachelor’s or Master’s degree in Computer Science, or a related technical field.
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