Technical Lead

LATAM RYZ Labs – Engineering / Full Time
- Contract /   Remote  

About the Role
We are looking for a hands-on Technical Lead to help build and evolve a suite of products focused on eDiscovery and large-scale data analysis. This role is ideal for a senior software engineer who has experience building production-quality software in a product environment, working closely with Product Managers to translate business needs into scalable technical solutions. You will help define the technical direction, make key architectural decisions, stay hands-on with development, and help build the engineering foundation and team as the products evolve. The work sits at the intersection of modern software engineering, large-scale data processing, and eDiscovery, solving complex problems around how large volumes of emails, messages, documents, and other data can be processed, analyzed, and reviewed.   What You’ll Do �
� Lead the technical development of new and evolving products, staying hands-on with architecture and implementation. �
� Partner closely with Product Management to translate product requirements into scalable, production-quality software. �
� Design and build data pipelines capable of ingesting, processing, and transforming large datasets, potentially ranging from gigabytes to terabytes. �
� Develop systems that can parse large and complex datasets, identify patterns, and generate useful insights. �
� Establish strong engineering foundations, including architecture, testing, CI/CD, deployment, and coding standards. �
� Make pragmatic technical decisions that balance speed, scalability, and long-term maintainability. �
� Mentor engineers and contribute to building a strong engineering culture and team.   What We’re Looking For Required �
� 10+ years of software engineering experience, with a career primarily rooted in software development. �
� Strong experience working closely with Product Managers and translating product requirements into technical solutions. �
� Strong understanding of modern software architecture, APIs, databases, cloud infrastructure, and scalable web applications. �
� Experience designing and building data pipelines and data processing systems. �
� Experience working with large-scale datasets, potentially ranging from gigabytes to terabytes, including ingesting, parsing, transforming, and processing complex or heterogeneous data. �
� Ability to identify patterns, relationships, and insights across large datasets. �
� Strong technical leadership and architectural decision-making skills. �
� Comfortable being hands-on while also providing technical direction and mentoring to other engineers. �
� Comfortable working in an environment with ambiguity and evolving product requirements. Nice to Have �
� Familiarity with eDiscovery, digital forensics, legal technology, investigations, or compliance. �
� A genuine interest in learning about eDiscovery and the challenges involved in processing and analyzing large volumes of legal and investigative data. �
� Experience with analytics, NLP, machine learning, or other techniques for extracting insights from unstructured data.   Why This Role �
� Build products from the ground up rather than simply maintaining a mature codebase. �
� Work on challenging problems involving large-scale and complex datasets. �
� Partner directly with Product Management and have a meaningful impact on product and technical direction. �
� Help shape both the engineering foundation and the team as the product suite grows. �
� Work at the intersection of modern software engineering, data, and a specialized domain with real-world, high-stakes use cases.   \n \n