RYZ Labs - Technical Lead (eDiscovery Products)
Requirements
• 10+ years of software engineering experience, with meaningful time spent in legal technology, eDiscovery, or adjacent compliance/investigations domains. • Deep, hands-on expertise with Relativity custom development: you have built custom applications, integrations, or workflows on Relativity — you know its data model, APIs, and review workflows inside out. • Proven ability to build from scratch: you have served as a founding or lead engineer on at least one greenfield product, making early architectural decisions that defined it for years. • Strong command of modern web application architecture — you can design and implement a scalable, full-stack application including cloud infrastructure, APIs, and data pipelines. • Experience designing large-scale data ingestion and processing pipelines, including handling schema variability, deduplication, and transformation at scale. • Startup mindset: comfortable with ambiguity, able to move quickly, and skilled at making pragmatic architectural decisions that balance speed with long-term soundness. • Strongly Preferred • Experience building integrations with Reveal (formerly Brainspace) or its RDM data processing platform. • Experience with Cellebrite exports or similar mobile forensic data — format variability, conversation threading, metadata complexity, and chain-of-custody considerations. • Experience leading a platform migration or technical debt reduction initiative — rebuilding the plane while keeping it in the air. • Hands-on experience with desktop-to-web migrations, including architectural patterns, performance considerations, and UX implications. • Experience working in or alongside an eDiscovery managed services or consulting practice, where end users are practitioners with high-stakes workflow needs. • Familiarity with analytics or insight-generation techniques applied to unstructured legal data — NLP, clustering, entity extraction, or similar. • Experience building multi-tenant SaaS applications or transitioning single-tenant tools to a shared-infrastructure model. • Background in data security and chain-of-custody requirements within litigation or investigations contexts. • Experience introducing modern engineering practices (CI/CD, automated testing, observability) in organizations new to formal software development.
Responsibilities
• Lead engineering on the replatforming of a suite of eDiscovery tools — serving as the primary technical decision-maker on architecture, infrastructure, data modeling, and integrations. • Architect and build migration of an analytics tool from desktop to a modern web-based platform, including ingestion pipelines for email data (Reveal RDM) and mobile data (Cellebrite). • Drive the technical evolution of a document review tool from a platform-hosted experience to a standalone application integrating with Relativity via API, with a path to supporting additional review platforms. • Establish engineering foundations from scratch: CI/CD, testing infrastructure, deployment practices, coding standards, and security posture. • Partner with the Product Manager to sequence work, scope complexity, and surface trade-offs — ensuring architectural decisions serve both near-term delivery and long-term platform goals. • Build and grow the engineering team, hiring and mentoring engineers while cultivating a culture of craft and pragmatism.
Benefits
• You will design a product’s technical foundation from the ground up — this is not incremental feature work on a mature codebase. • You will work at the intersection of cutting-edge data challenges (mobile forensics, large-scale document review) and • tooling that practitioners rely on in high-stakes matters every day. • You will build a platform and a team, not just a service — with a clear path to expanding the suite as the practice evolves. • You will bridge two worlds: the rigor and domain expertise of a top-tier consulting practice and the speed and craft of modern software engineering.
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