DISCO provides a cloud-native, artificial intelligence-powered legal solution that simplifies ediscovery, legal document review and case management for enterprises, law firms, legal services providers and governments. Our scalable, integrated solution enables legal departments to easily collect, process and review enterprise data that is relevant or potentially relevant to legal matters. Are you ready to help us fulfill our mission to use technology to strengthen the rule of law?
Requirements
- 3+ years of professional experience with each of the following: Service Oriented Architecture, Docker-based services, micro-services, API and Data Model Design or Implementation
- Knowledge of ElasticSearch, NoSql Stores, Kafka, Columnar Databases, DataFlow or Pipeline Systems
- Knowledge of Design, implementation, and operation of data-intensive distributed systems
- Understanding of microservices design patterns and principles, with experience in developing microservices using containerized tools like Docker
- Knowledge of system architecture, design patterns, and best practices in software development.
- Skilled in designing and operating software in a Cloud Provider, such as AWS, Azure, or GCP
- Skilled in programming languages and frameworks commonly used in SaaS development. In particular, Java/Kotlin, Python, C.
Responsibilities
- Contributes significantly to the development, and implementation of complicated software solutions, ensuring functionality, scalability, testability and reliability. Starts helping with System Design & Grooming.
- Upholds and enhances code quality through rigorous review processes, optimization techniques, and adherence to best practices.
- Addresses complex technical challenges with innovative solutions.
- Builds, and maintains, scalable and robust data platforms to support analytics, machine learning, and business intelligence. Orchestrates scaleout data pipelines that optimize serverless and containerized compute to balance cost, latency, and duration. Contributes to algorithmically intensive data engines operating on streaming, large or multi-tenant datasets. Troubleshoots systems, identify root causes, and rectify bugs. Starts helping with Design.
- Develops and optimizes ETL (Extract, Transform, Load) processes and data integration pipelines. Ensures efficient data flow across various sources and systems.
- Creates and maintains comprehensive technical documentation, ensuring clarity and accessibility of information.
- Works effectively within the engineering team and cross-functional teams, collaborating with other engineers, product managers, and stakeholders.
Other
- 5-7+ years of experience in software development, with a demonstrated track record in SaaS or similar environments.
- Experience in playing key roles (for example: development, testing, design, product interfacing, etc) in significant software projects, showing an ability to work effectively both independently and as part of a team.
- Ability to adapt to new technologies and methodologies, and a mindset geared towards innovation and continuous improvement.
- Effective communication and teamwork skills, essential for working in a dynamic and collaborative environment with various stakeholders and team members.
- Experience with Agile development methodologies and practices.
