Software Engineer, CAT E&A Atlanta, GA/Boston, MA/San Ramon, CA

Catastrophe Engineering and Analytics (CAT E&A) is an innovative and versatile technical team conducting catastrophe risk research and development and providing complex quantitative metrics that inform underwriting decisions. The Software Engineer within the CAT E&A team will play a crucial role in designing and developing end-to-end systems to deploy and run models. This role involves deep cross-functional collaboration with business, product, and data science teams, while driving successful project outcomes. Not only will you focus on backend development, but another dimension to the role also demands some expertise with building data pipelines, data manipulation, and so forth.

Duties & Responsibilities:

• Collaborate closely with application engineers, data scientists, and stakeholders in building and maintaining existing software to support existing platforms.
• Work with the team to help develop our technical platform to be more user-friendly and seamless, with an emphasis on bringing the various individual models together in a more uniform framework.
• Understand and assist with the development of AI and machine learning related projects that are underway.
• Contribute to the development, maintenance, and evolution of our platform.
• Help drive technology and architecture decisions along with mentoring teammates.
• Contribute to the design and architecture of scalable, reliable systems.
• Write maintainable and well-tested code along with designing the system.
• Build robust data pipelines, perform data analysis, and deploy models.

Qualifications, Skills and Experience:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field is preferred.
• Minimum three years of relevant experience in software engineering, data engineering, or ML engineering.
• Strong problem-solving skills and ability to work independently.
• Excellent communication and collaboration skills.
• Proficiency in Python (Pandas, NumPy, or SciPy) or R is required.
• Previous experience in building Batch or Streaming Data and ML pipelines is preferred.
• Proficiency in building and working with APIs is preferred.
• Exposure to GIS libraries, PostGIS, GDAL is preferred.
• Experience with both streaming and batch processing of data is preferred.
• Knowledge of Docker and Kubernetes is preferred.