Software Engineer

Moody's Corporation

Berlin

Vor Ort

EUR 70.000 - 110.000

Vollzeit

Vor 5 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

Moody's Corporation is seeking a backend engineer to build and maintain scalable back-end systems powering insurance analytics. You will collaborate with data science and ML teams to translate requirements into robust solutions.

The role emphasizes architecture, reliability, and code quality, working in a fast-evolving environment that applies AI responsibly to turn insights into actions.

Qualifikationen

  • Bachelor's, Master's, or PhD in STEM with hands-on experience.
  • Strong back-end and architecture skills.
  • Experience with Python, SQL and scripting languages; AI concepts experience preferred.

Aufgaben

  • Build and maintain robust, scalable back-end systems powering insurance analytics applications.
  • Design, build and maintain extensible back-end services with focus on architecture, scalability, and reliability.
  • Participate in technical design discussions and provide expert input across the back-end stack.
  • Perform code reviews and technical analysis for quality and maintainability.
  • Develop and maintain unit and end-to-end tests to ensure performance and reliability.
  • Collaborate with product, data science, and ML partners to translate requirements into technical solutions.
  • Evaluate new tools and technologies to continuously improve the stack.
  • Own critical components of back-end development with strong technical judgment.

Kenntnisse

Python
SQL
Ruby
Software architecture
AI concepts
Back-end development
Communication

Ausbildung

Bachelor's degree in STEM
Master's degree in STEM
PhD in STEM

Jobbeschreibung

At Moody\'s, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are— with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody\'s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

Skills And Competencies
  • Expertise in Python and SQL alongside other scripting languages such as Ruby, with a demonstrated understanding of software architecture principles required to design scalable systems
  • Demonstrated proficiency in artificial intelligence concepts, including hands‑on experience using AI tools to streamline code generation and testing, with a commitment to responsible and ethical AI use
  • Strong ability to design and implement high-quality, scalable, and maintainable back-end code solutions that meet business and technical requirements
  • Demonstrated initiative and autonomy in problem-solving, with the ability to translate abstract requirements into well-defined technical objectives
  • Proven adaptability, with a track record of learning new programming languages, tools, and technology stacks and applying them effectively based on business needs
  • Excellent written and verbal communication skills, with the ability to articulate technical concepts and business requirements to technical and non-technical stakeholders
  • Knowledge of Geographic Information Systems (GIS) is preferred but not required
Education
  • Bachelor’s degree in a STEM field with 3+ years of relevant hands‑on industry experience, or
  • Master’s degree in a STEM field with 2+ years of relevant hands‑on industry experience, or
  • PhD degree in a STEM field with 1+ years of relevant hands‑on industry experience
Responsibilities

Build and maintain robust, scalable back-end systems that power high-performance insurance analytics applications

  • Design, build, and maintain extensible back-end services and web applications with a focus on architecture, scalability, and reliability
  • Participate in technical design discussions and provide expert input across the back-end technology stack
  • Perform code reviews and technical analysis to ensure code quality, maintainability, and alignment with engineering standards
  • Develop and maintain unit and end‑to‑end tests to ensure system performance and reliability
  • Collaborate closely with product, data science, and machine learning partners to translate business requirements into technical solutions
  • Evaluate new tools and technologies and provide recommendations to continuously improve the back-end technology stack
  • Own critical components of back-end development, demonstrating strong technical judgment and collaboration skills
About The Team

Our software engineering team is responsible for building the core databases, APIs, and applications that support Moodys insurance analytics platform. By joining the team, you will collaborate closely with machine learning engineers and data scientists to solve complex engineering challenges and deliver meaningful impact for customers and internal partners. We tackle difficult engineering challenges utilising the newest technolgies including AI and focus on delivering impact for our coworkers and clients each day.

Moody\'s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

Candidates for Moody\'s Corporation may be asked to disclose securities holdings pursuant to Moody\'s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

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