Software Engineer, CAT E&A

at  Berkshire Hathaway Specialty Insurance

WHO ARE WE?

A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway’s insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character.
We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world?
Learn more about our unique culture and history.

BHSI OFFERS:

• A competitive package and exciting growth opportunities for career-oriented teammates.
• A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates and our other stakeholders.
• A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework.
  NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.
  Please send resumes to HR@bhspecialty.com.
  Visit our website at www.bhspecialty.com

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.
• 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

• 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.
• 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.