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.

AI & Data Engineering


* Design, build, and deploy machine learning models and AI-powered features into production SaaS products


* Maintain scalable data pipelines for ingestion, transformation, and enrichment of large, complex datasets


* Develop model-serving infrastructure using AWS SageMaker, Lambda, and container-based deployment patterns


* Apply LLM integrations, RAG architectures, and generative AI capabilities where appropriate to enhance product functionality


* Own data quality, observability, and monitoring for AI/ML workloads in production

Software Engineering & Architecture


* Lead the design and implementation of cloud-native microservices and APIs (Python, C#/.NET) on AWS


* Drive best practices in design, code quality, and system design across the team


* Contribute to all stages of the SDLC: requirements review, design, development, testing, and deployment


* Conduct code reviews and mentor team members on engineering standards


* Proactively identify technical risks and communicate them early to course-correct


* Participate in roadmap planning, scoping, and technology feasibility assessments


* Contribute to a culture where solving customer problems is always the highest priority

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 m...