Architect, scale, and own the technical roadmap for the platforms that drive IREN’s global data center footprint, bridging complex supply chain business processes (Demand Planning, Capacity Forecasting, MRP, S&OP) with cutting-edge software and data systems.
Compensation
The expected base salary for this role USD $290,000-$330,000/annum. Total Compensation package may be inclusive of annual incentive bonus, equity (long-term incentive).
Responsibilities
Define the end-to-end technical architecture and data strategy for IREN’s proprietary and integrated supply chain planning platforms, and own the technical roadmap for them.
Translate supply chain business problems into scalable software requirements and technical roadmaps.
Lead the integration of Enterprise Resource Planning (ERP) and Supply Chain Planning (SCP) systems (for example SAP and Oracle) with bespoke internal microservices and telemetry data.
Oversee the design and optimization of high-throughput distributed data pipelines, both batch and real-time streaming.
Partner with Data Science to deploy machine learning and advanced analytics models for component-level demand forecasting, lead-time anomaly detection and buffer stock optimization.
Requirements
Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Systems, Operations Research, Data Science, Supply Chain Management, Engineering or a related quantitative field
MBA or advanced degree preferred
Nice to have: High-tech hardware supply chains
Nice to have: Data center infrastructure manufacturing
Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems.
Responsibilities
Expected to perform independently and become an SME.
Required active participation/contribution in team discussions.
Contribute in providing solutions to work related problems.
Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
Monitor and optimize data workflows to improve performance and reliability.
Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Responsibilities
Expected to perform independently and become an SME
Required active participation/contribution in team discussions
Contribute in providing solutions to work related problems
Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions
Monitor and optimize data workflows to improve performance and reliability
Own the technical direction and architecture of custom software solutions, leading teams through design and delivery. Set development standards and ensure code quality, scalability, and performance aligned to business objectives.
Responsibilities
Expected to perform independently and become an SME.
Required active participation/contribution in team discussions.
Contribute in providing solutions to work related problems.
Lead and mentor team members to enhance their technical skills and project contributions.
Coordinate with cross-functional teams to ensure seamless integration and delivery of software solutions.
The role involves owning the technical direction and architecture of custom software solutions, leading teams through design and delivery, and ensuring code quality, scalability and performance.
Responsibilities
Expected to be an SME, collaborate and manage the team to perform
Responsible for team decisions
Engage with multiple teams and contribute on key decisions
Provide solutions to problems for their immediate team and across multiple teams
Lead the establishment and enforcement of development standards to maintain code quality and consistency
Design and evolve the large-scale offline ML platform, focusing on building reliable infrastructure for generating training datasets, orchestrating ML workflows, and enabling efficient, distributed model training at scale.
Compensation
Base Salary Range: CNY ¥341,000- ¥1,247,000 gross
Responsibilities
Design and operate large-scale data pipelines that generate training datasets used for machine learning training and experimentation
Develop infrastructure that supports distributed training workflows using technologies such as Pytorch, Ray Data, and Ray Train, etc.
Integrate ML pipelines with workflow orchestration systems (e.g., Flyte, Airflow, or similar) to enable reliable multi-stage training workflows
Improve reproducibility and observability of ML pipelines through dataset validation, monitoring, and automated testing
Optimize performance and resource utilization across distributed compute systems used for data processing and model training
Design, develop, and deploy machine learning and artificial intelligence solutions that drive business decision-making and operational excellence.
Responsibilities
Develop, validate, deploy, and monitor machine learning models that support forecasting, optimization, customer intelligence, operational decision-making, and business growth.
Design and implement advanced predictive models using supervised and unsupervised learning techniques.
Perform feature engineering, model selection, hyperparameter tuning, and performance evaluation.
Establish model governance processes, including documentation, explainability, fairness assessments, and monitoring.
Translate business challenges into analytical frameworks and data-driven solutions.
