Senior II Software Engineer - Machine Learning Platform
Core
Building and maintaining a scalable, cost-efficient machine learning platform infrastructure that enables data scientists to develop, deploy, serve, and monitor models at scale for Wise's global financial product.
Role type
Senior Software Engineer (ML Platform Infrastructure)
Builds
Model serving infrastructure, training pipelines, experiment tracking, feature management, and model monitoring systems.
Domain
Financial technology / Machine Learning Infrastructure
Deliverable
production ML models
Required skills
Python, Kubernetes, cloud infrastructure (AWS/GCP), distributed systems, observability and monitoring, CI/CD, software engineering best practices
Preferred skills
Internal developer platforms, ML workflows, Infrastructure as Code (Terraform/CDK), streaming/batch data processing (Spark/Flink/Kafka), platform-as-product thinking
Technologies
Python, Kubernetes, MLflow, Airflow, AWS, GCP, Terraform, CDK, Spark, Flink, Kafka
Responsibilities
Build and maintain core ML platform services including model serving and training pipelines; improve platform scalability, reliability, and operability; enhance observability and monitoring across the model lifecycle; collaborate with data scientists to understand workflows and pain points; participate in on-call rotation for platform stability; contribute to technical and product roadmap decisions; mentor others and raise engineering standards.
Seniority
Senior, hands-on IC
