Software Architect I

Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency. Powered by **LOIS**, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country. **Role Summary:** Join Filevine as a Lead Architect to bridge the gap between complex system design and high-impact leadership, serving as a key technical visionary for mission-critical production systems. This is a unique opportunity to scale a mature platform while acting as a servant-leader and mentor within an elite engineering culture ### What You'll Do: - **Architectural Strategy:** Design and oversee the development of high-scale, mission-critical production systems, ensuring they are modular, composable, and extensible. - **System Modernization:** Drive the evolution of "legacy" systems by implementing strategic techniques to migrate them toward a modern, target-state architecture. - **Cross-Functional Translation:** Act as a bridge between Engineering and non-technical stakeholders (Product, Security, Finance, etc.) to ensure business needs are reflected in technical designs. - **Documentation & Visualization:** Create clear technical documentation and complex system diagrams to communicate architectural visions across various mediums. - **Collaborative Design:** Facilitate design sessions and distributed conversations, ensuring engineering teams retain ownership of their work while benefiting from expert feedback. - **Cloud & Cost Optimization:** Manage and optimize cloud infrastructure (preferably AWS), balancing high performance with cost efficiencies and regional deployment needs. - **Mentorship & Growth:** Serve as a high-level mentor to engineering teams, fostering a culture of technical excellence and continuous learning. - **Technology Scouting:** Monitor the broader computing landscape to identify dependable current technologies and emerging trends worthy of adoption ### What You Need: - **Proven Technical Depth:** Extensive experience building and operating large-scale distributed systems, with a "lessons learned the hard way" mentality. - **Expert System Modeling:** Advanced proficiency in high-level service design and the ability to model interfaces for long-term scalability. - **Data Layer Mastery:** Deep working knowledge of various data persistence layers and a nuanced understanding of which use cases suit specific technologies. - **Public Cloud Proficiency:** Significant experience with a major cloud provider (AWS preferred), including a strong grasp of its capabilities and inherent caveats. - **Communication Versatility:** Exceptional verbal, written, and presentation skills, with the ability to tailor complex messages for both technical and non-technical audiences. - **Leadership Mindset:** A hospitality-focused approach to leadership, prioritizing being "of service" to the teams you support rather than exercising rigid control. - **Collaborative Agility:** The ability to propose solutions and integrate critical feedback without defensiveness, maintaining a focus on the best outcome for the product. - **Domain Expertise:** A proven track record as a domain expert in a specific focus area (e.g., Front-end or Data Architecture) while maintaining a broad understanding of the full stack. - ### **Tech Stack Context** - .NET monorepo (C#), actively migrating from monolith to microservices - AWS infrastructure (ECS, SQS, SNS, DynamoDB, S3, Kinesis, Elasticsearch) - Terraform for IaC; CI/CD pipelines; multi-region aspirations - Python AI/ML services; for workflow orchestration - CQRS and event-driven architecture patterns