Architect and build high-throughput backend systems for Filevine’s legal technology platform using .NET, DDD, event sourcing, MartenDB, Wolverine, and PostgreSQL. Own features end to end, including domain modeling, APIs, testing, observability, CI/CD, and production monitoring. Mentor engineers, optimize system resilience and performance, and collaborate with product, UX, and legal experts to translate complex workflows into scalable software.
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 a high-impact engineering team innovating on a brand-new product inside Filevine, creating mission-critical systems that redefine how justice is served—using cutting-edge .NET Critter Stack (MartenDB and Wolverine), Domain-Driven Design, and event-driven architecture to solve complex, real-world problems at scale.
Responsibilities
- Architect and implement sophisticated legal domains using Domain-Driven Design (DDD), defining bounded contexts, aggregates, domain events, and a shared ubiquitous language.
- Model resilient, event-sourced systems with Marten, leveraging multi-document sessions, projections, and tenanted document storage in PostgreSQL.
- Design and deliver asynchronous, idempotent message handlers using Wolverine, with built-in retry policies, dead-letter queues, and full observability.
- Optimize PostgreSQL performance under high-throughput workloads using indexing, partitioning, and query tuning.
- Drive end-to-end feature ownership—from domain modeling and REST API design to CI/CD automation, observability, and production monitoring.
- Establish and enforce engineering excellence through code reviews, architectural decision records (ADRs), and comprehensive test coverage (unit, integration, contract).
- Build in enough resiliency or be prepared to troubleshoot and resolve the technical issues, no matter the hour.
- Mentor mid-level and junior engineers in DDD strategic patterns, clean architecture, and modern .NET best practices.
- Partner with product, UX, and legal domain experts to translate complex workflows into intuitive, high-performance software.
- Actively shape shared domain models and architecture decisions in cross-team design syncs, sprint planning, and design document reviews.
- Clearly articulate technical trade-offs and domain models to engineers, product leaders, and stakeholders.
- Actively contribute in design discussions, sprint planning, and cross-team syncs with empathy and respect.
Qualifications
- 5+ years of backend development with expert-level C# and .NET 8+
- Production-grade mastery of Domain-Driven Design (strategic + tactical patterns)
- Deep, hands-on experience with MartenDB and Wolverine (.NET Critter Stack)
- Strong grasp of CQRS, event sourcing, and PostgreSQL performance optimization
- Experience in legal tech, workflow automation, or regulated industries
- Familiarity with OpenTelemetry or other observability platforms
- Familiarity with Svelte, TypeScript, and frontend development
- Familiarity with Auth0 and OktaFGA
- Exceptional communication—able to explain complex domain logic to non-technical stakeholders
- Growth mindset, collaborative spirit, and passion for mentorship
- Proven ability to independently drive high-impact initiatives to completion under ambitious timelines.
Compensation Information: $190,000 - 215,000
The base salary range represents the low and high end of the salary range for this position. The total compensation package for this position will be determined by each individual’s location, qualifications, education, work experience, skills and performance. We believe in the importance of pay equity - the range listed is just one component of Filevine’s total compensation package for employees. This position is also eligible for a paid time off policy, as well as a comprehensive benefits package.
Work Location Expectation: Remote or option to be hybrid/in-office in one the following locations: San Francisco, New York, Chicago, or Salt Lake City
Cool Company Benefits:
- A dynamic, rapidly growing company, focused on helping organizations thrive
- Medical, Dental, & Vision Insurance (for full-time employees)
- Competitive & Fair Pay
- Maternity & paternity leave (for full-time employees)
- Short & long-term disability
- Opportunity to learn from a dedicated leadership team
- Top-of-the-line company swag
Privacy Policy Notice
Filevine will handle your personal information according to what’s outlined in our Privacy Policy.
Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.
Similar Jobs
.png)
Food • Software
Own revenue generation by selling ChowNow’s restaurant technology to independent restaurants within an assigned territory. Responsibilities include qualifying leads, managing the sales pipeline, conducting product demos, developing outbound and referral strategies, closing full-cycle deals, nurturing customer relationships, meeting quotas, and completing regular restaurant drop-ins. The role requires approximately 60% travel throughout the territory and collaboration with sales leadership and peers.
Top Skills:
Salesforce (Sfdc)
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Own Toast’s multi-year Procure-to-Pay strategy and transformation roadmap. Lead automation and AI initiatives, build investment business cases, negotiate high-value strategic vendor agreements, establish policies and controls, and partner with Finance, IT, Engineering, Legal, and senior leadership. Manage and develop a direct report while driving adoption, stakeholder alignment, and measurable commercial improvements across the procurement function.
Top Skills:
Artificial Intelligence (Ai)Procure-To-Pay (P2P) TechnologySource-To-Pay (S2P) TechnologySox ControlsWorkflow Automation
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Develop data-centric machine learning solutions for autonomous driving. Design dataset mixtures, curation and mining methods, model-training recipes, scaling studies, and offline evaluations using real and synthetic driving data. Apply self-supervised learning, imitation learning, reinforcement learning, and foundation-model fine-tuning. Train models across large multi-GPU and multi-node datasets, diagnose data-related failures, and collaborate on deploying models into onboard driving systems.
Top Skills:
SparkNumpyPandasPythonPyTorchSQL
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
