Technical Lead
- Role
- Unknown
- Experience
- Senior
- Employment
- Contract
The listing doesn't say where it hires from. It may hire in Argentina (81% confidence). This is an estimate, not an eligibility rule; verify before applying.Signals: company headquarters and the employer's other listings.
No BS summary
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.
Required skills
Optional skills
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.
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 they require
- 10+ years of software engineering experience, 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
Benefits
- 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
RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. It builds startups and product solutions across different industries, with remote distributed teams throughout the US and Latam.