Description DealHub.AI is building the future of agentic revenue technology. Trusted by leading global businesses, we’re redefining what revenue teams can achieve with AI and agentic execution across the deal lifecycle. Our mission is simple: help businesses Own Your Revenue with greater speed, intelligence, and governance. We are looking for a Staff Software Engineer to drive the strategic technical direction of our billing platform, architect major end-to-end distributed systems, and provide high-impact technical leadership across our engineering organization. As a Staff Software Engineer and key technical leader, you will partner with executive and cross-functional stakeholders to design, architect, and scale our next-generation billing and subscription management platform while setting engineering standards and technical strategy. Responsibilities • Define and drive the platform's technical strategy and vision to empower the broader engineering organization • Articulate architectural vision and complex system designs to both technical and executive audiences • Establish high engineering standards and govern architectural consistency across all platform microservices and infrastructure • Evaluate industry trends and emerging technologies to guide long-term architectural choices • Partner with R&D leadership to elevate engineering execution, culture, and technical capabilities • Architect for high availability, fault tolerance, and multi-tenant scalability while proactively driving initiatives to reduce technical debt Requirements • BS degree in Computer Science, Engineering or similar technical field of study or equivalent practical experience • 10+ years of enterprise software engineering experience with deep expertise in Java, distributed systems, and scalable backend architectures • Extensive experience architecting and operating mission-critical, robust, distributed financial or billing platforms at scale • Proven track record of technical leadership, staff-level mentorship, and influencing engineering direction across an organization • Experience using data and analysis to explain technical problems and provide detailed feedback and solutions • Professional working proficiency in English, both verbally and in writing is a must!