Senior Software Engineer

Salary: $139,800 - 202,800 per year Requirements:

• We require strong expertise in Python and SQL, along with other scripting languages such as Ruby, and a solid grasp of software architecture principles for building scalable systems.
• We look for hands-on experience with artificial intelligence concepts, including using AI tools to improve workflows and operational efficiency, as well as the ability to apply AI-enabled solutions to business problems.
• We need proven capability in designing and implementing high-quality, scalable, and maintainable back-end code that satisfies business and technical needs.
• We value initiative and independence in problem-solving, including the ability to turn broad requirements into clear technical goals.
• We seek adaptability, with a track record of quickly learning new languages, tools, and technology stacks and applying them to changing business priorities.
• We require excellent written and verbal communication skills, with the ability to explain technical ideas and business requirements to both technical and non-technical audiences.
• We prefer knowledge of Geographic Information Systems, although it is not mandatory.
• We require U.S. work eligibility, as we will not sponsor visas for this position.
• We require one of the following STEM backgrounds and experience levels: a bachelors degree with 7+ years of relevant hands-on industry experience, a masters degree with 4+ years of relevant hands-on industry experience, or a PhD with 2+ years of relevant hands-on industry experience.

• We design and deliver scalable back-end software solutions that support advanced insurance analytics products and services.
• We build and maintain reliable, high-performing back-end systems for insurance analytics applications.
• We design, develop, and support extensible back-end services and web applications with an emphasis on architecture, scalability, and reliability.
• We contribute to technical design discussions and provide expert guidance across the back-end technology stack.
• We conduct code reviews and technical assessments to uphold code quality, maintainability, and engineering standards.
• We create and maintain unit and end-to-end tests to support system reliability and performance.
• We work closely with product, data science, and machine learning partners to convert business needs into technical solutions.
• We assess new tools and technologies and recommend improvements to our back-end stack.
• We own key components of back-end development and apply strong technical judgment and collaboration throughout delivery.

• AI
• Support
• Machine Learning
• Python
• Ruby
• SQL
• Web

More:

We are Moodys Corporation, and we are partnering with hackajob to identify exceptional professionals for this role. Our software engineering team builds the core databases, APIs, and applications behind our insurance analytics platform. We work closely with machine learning engineers and data scientists to solve complex engineering challenges, use modern technologies including artificial intelligence to improve outcomes, and deliver measurable value for our colleagues and clients every day. We offer a competitive benefits package that includes medical, dental, and vision coverage, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement. For U.S.-based roles, the anticipated base salary range is $139,800.00 to $202,800.00, with incentive compensation eligibility. We also are committed to an inclusive workplace and equal opportunity employment.

last updated 37 week of 2026