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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. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. 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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.