Senior Software Engineer – Data & ML

About the role:

This is a Senior Individual Contributor role at Edrolo, focused on building intelligent, data-powered product features while strengthening the data and machine learning foundations that support them. You’ll work across backend and data systems to deliver scalable features, services, and ML-driven experiences that bring Edrolo’s platform vision to life.

You will design and implement systems end-to-end from data ingestion and transformation through to APIs and product integrations while mentoring others and shaping best practices in both software and data engineering.

Key Responsibilities

Feature & Platform Development

• Build backend features and services that leverage data and ML insights to enhance learning and assessment experiences.
• Collaborate closely with product and design teams to bring data-driven features to life in Edrolo’s platform.
• Contribute to shared libraries, APIs, and infrastructure that enable rapid, reliable feature delivery.
  
  

Data Platform & ML Infrastructure

• Design, build, and maintain data pipelines and services that support analytics, reporting, and machine learning use cases.
• Collaborate with data scientists to operationalise ML models - from feature engineering and model training pipelines through to deployment, monitoring, and retraining.
• Drive best practices for model lifecycle management, reproducibility, and performance in production environments.
  
  

Backend Engineering for Data Systems

• Develop APIs, and batch/streaming systems that process large volumes of educational and behavioural data.
• Optimise for performance, reliability, and scalability across both transactional and analytical workloads.
• Integrate data and ML outputs into user-facing systems through well-structured backend interfaces.
  
  

Data Governance, Quality & Security

• Implement robust data validation, quality assurance, and lineage tracking to maintain trust in key data assets.
  
  

Technical Architecture & Strategy

• Help define the long-term architecture for data-driven and ML-enabled systems aligned with Edrolo’s “Results System” vision.
• Evaluate and integrate emerging data and ML technologies to improve scalability, observability, and developer productivity.
• Balance innovation with maintainability and operational excellence.
  
  

Collaboration & Mentorship

• Work closely with engineers, data scientists, and product managers to translate business requirements into scalable, data-centric features.
• Mentor peers in software, data, and ML engineering best practices.
• Advocate for cross-functional collaboration between feature and data teams.