Senior Software Engineer

We are hiring a Senior Software Engineer with deep expertise in AI/ML engineering and data-intensive systems to join our Catastrophic and Risk Solutions team. You will be a key technical contributor on a cross-functional Agile team building cloud-native SaaS platforms that sit at the intersection of cutting-edge science and production software. This role goes beyond traditional full-stack development — you will design and ship AI-powered features, build data pipelines, and architect scalable ML-serving infrastructure on AWS. This role is office-based in our Boston location, which has a flexible hybrid work model. Required B.S. in Computer Science, Mathematics, Statistics, or a related quantitative field; M.S. or Ph.D. preferred 5+ years of software engineering experience, with at least 2 years in a senior or lead role on cloud-native AWS products Strong Python skills for data engineering, ML pipelines, and API development Hands-on experience with ML frameworks such as scikit-learn, PyTorch, TensorFlow, or XGBoost Experience building and deploying production ML systems — model training, evaluation, versioning, and serving Proficiency with AWS data and AI services: SageMaker, S3, Glue, Athena, Lambda, EC2, CloudWatch Experience with data pipeline tooling: Apache Spark, Airflow, dbt, or equivalent Solid understanding of data modeling, SQL, and working with large-scale databases (PostgreSQL, MSSQL, or similar) Strong grasp of software engineering fundamentals: CI/CD, DevOps, testing, and system design Familiarity with REST API design, microservices, and containerization (Docker, Kubernetes) Experience with Agile development methodologies Nice to Have Experience with LLMs, prompt engineering, or RAG (Retrieval-Augmented Generation) systems Familiarity with MLflow, Weights & Biases, or other ML lifecycle management tools AWS Certification (Machine Learning Specialty, Solutions Architect, or equivalent) Experience with geospatial data, catastrophe modeling, or climate/weather datasets Full-stack experience with Angular or React and .NET Core Background in the insurance, reinsurance, or financial services industries #LI-LM03 #LI-Hybrid