Software Engineer, DISCO

• 5-7+ years of experience in software development, with a demonstrated track record in SaaS or similar environments
• 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
• 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
• 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 cloud-based data storage, such as: Relational Databases, NoSQL Stores, data caches, etc
• Skilled in analytical abilities and problem-solving, capable of addressing complex technical challenges
• 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
• Skilled in programming languages and frameworks commonly used in SaaS development. In particular, Java/Kotlin, Python, C#
• Familiarity with server management, network configurations, and an understanding of cloud services (like AWS, Azure, or Google Cloud)

Desirable

• The Software Engineer III (Platform) is an experienced engineer that handles complex tasks and contributes significantly to their team's goals
• They are expected to start leading small projects or components, while building feature sets / capabilities that are well-crafted and follow Architecture Quality Attributes
• Advanced Software Development: Contributes significantly to the development, and implementation of complicated software solutions, ensuring functionality, scalability, testability and reliability. Starts helping with System Design & Grooming
• Code Quality and Optimization: Upholds and enhances code quality through rigorous review processes, optimization techniques, and adherence to best practices
• Innovative Problem Solving: Addresses complex technical challenges with innovative solutions
• Collaboration and Communication: Works effectively within the engineering team and cross-functional teams, collaborating with other engineers, product managers, and stakeholders
• Continuous Learning and Adaptation: Stays updated with the latest technology trends and advancements, continually enhancing skills and knowledge
• Technical Documentation: Creates and maintains comprehensive technical documentation, ensuring clarity and accessibility of information
• Data Platform Development: 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
• Data Integration and ETL: Develops and optimizes ETL (Extract, Transform, Load) processes and data integration pipelines. Ensures efficient data flow across various sources and systems