Encora

Compensation

Full Description

• Bachelor s in Computer Science, Engineering, or related field (Master s preferred). • Experience in software engineering, or ML/Data platform development. • Expertise is preferred in Python, Java, and/or PySpark for distributed data and service development. • Proven experience architecting cloud-native data and ML systems ( Google Cloud Platform +Databricks). • Deep understanding of system design, data modeling, and distributed computing. • Demonstrated leadership in scaling large, data-intensive systems and mentoring engineering teams. • Excellent communication, technical leadership, and stakeholder management skills. • Strong system design and architecture skills. • Excellent debugging and troubleshooting abilities. • Expertise with automated testing. • Ability to thrive in a highly dynamic, fast-paced environment. Essential Functions & Key Responsibilities: • Define and implement the data architecture and software systems that underpin our ML and AI platforms. • Lead design and development of scalable data pipelines, APIs, and services enabling Data-as-a-Service for ML use cases. • Architect real-time and batch data serving frameworks for training, inference, and feedback loops. • Drive engineering excellence and platform scalability across distributed environments. • Collaborate with AI Platform leadership, MLOps, and backend teams to shape long-term technical strategy. • Mentor and guide senior engineers, establishing standards for design, testing, and deployment. • Evaluate emerging technologies and tools to strengthen the platform s reliability and performance. • Champion best practices in software architecture, data quality, and performance optimization