Sobre esta vaga de Technical Lead na Ryz Labs
Ryz Labs · Remoto · Argentina
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.
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