Senior Staff Engineer - Hybrid

As a Senior Staff Engineer at Hiver, you will play a pivotal role in shaping the future of the platform and technology landscape. You will operate as a senior technical leader driving architectural strategy, establishing engineering excellence across teams, and influencing product direction at scale. **Key Responsibilities:** - Define and evolve Hiver's technical architecture and long-term technology roadmap in alignment with business strategy. - Lead architectural design reviews and ensure coherent technical direction across multiple product and platform teams. - Partner with senior leadership to make strategic build vs. buy, scale vs. optimize, and AI adoption decisions. - Drive technical vision-setting for next-generation AI-driven capabilities across the product suite. - Design and scale advanced Generative AI and Machine Learning solutions integrated with Hiver's core workflows. - Build frameworks to improve system scalability, resilience, and observability for high-throughput email and data processing. - Set and enforce engineering-wide standards for system design, code quality, and technical documentation. - Mentor and coach Staff Engineers, Tech Leads, and Senior Engineers, helping them grow as system thinkers and problem solvers. - Collaborate closely with Product, Data, and Design teams to translate business goals into technically feasible and scalable solutions. - Champion emerging technologies AI, automation, data analytics to create business leverage. - Promote a culture of continuous innovation, experimentation, and learning within engineering. **Qualifications Required:** - 12+ years of total experience in software engineering with at least 5+ years in architecture or technical leadership roles. - 3+ years of experience leading Staff-level in large-scale distributed systems. - Extensive expertise in AI/ML (including Generative AI), with a deep understanding of model lifecycle management and deployment. - Proven experience architecting high-availability, large-scale SaaS platforms in cloud environments (AWS, GCP or Azure). - Strong foundation in Python or Java, object-oriented design, and system performance optimization. - Advanced understanding of distributed systems, data architecture, and event-driven design patterns. - Experience managing technical strategy and decision-making across multiple teams or product areas. - Demonstrated ability to navigate ambiguity, build consensus, and influence without direct authority. - Passion for mentoring and developing senior engineering talent and shaping engineering culture at scale.,