At a Glance
- Tasks: Design and implement scalable metering systems for usage-based billing and product insights.
- Company: Moody's Corporation, a global leader in risk assessment and AI innovation.
- Benefits: Inclusive culture, competitive salary, and opportunities for professional growth.
- Why this job: Join a team that drives innovation and makes a real impact on cloud-native transformation.
- Qualifications: 4+ years in backend systems, proficiency in C++, C#, or Java, and cloud experience.
- Other info: Collaborative environment with autonomy and technical ownership.
The predicted salary is between 36000 - 60000 £ per year.
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We strive 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- 4+ years of experience designing and deploying scalable backend systems; experience with metering, telemetry, or observability systems is a strong plus.
- Proficiency in C++, C#, or Java and deep understanding of Agile and Test-Driven Development.
- 2+ years of experience with public cloud (AWS, Azure, or GCP) and building cloud-native services.
- Strong debugging and problem-solving skills in distributed systems.
- Excellent communication skills and a track record of influencing technical decisions across teams.
- Experience with event-driven architectures and streaming data pipelines.
- Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency.
- Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use.
- Experience with time-series data modelling or analytics, Kafka, Databricks, Microsoft Fabric, or usage-based billing systems.
- Passion for building dashboards, alerts, and usage metrics for observability.
- Bachelor's degree in Computer Science, Engineering, or a related technical field required.
- Advanced degree (Master's or PhD) in a relevant discipline is a plus.
- Design and implement scalable metering systems that enable usage-based billing, product insights, and operational visibility across Moody's SaaS platforms.
- Build scalable, cloud-native metering pipelines that power usage tracking, analytics, and billing.
- Write efficient, maintainable code that processes telemetry and time-series data in real time.
- Collaborate with product, data science, and platform teams to shape architecture and deliver integrated solutions.
- Guide junior engineers, set technical direction, and champion best practices in system design and observability.
- Take end-to-end ownership—from instrumentation and testing to deployment, monitoring, and production support.
- Deliver systems that drive both internal innovation and customer value.
Our Platform Engineering team builds the foundation that powers all of Moody's Analytics. The Metering team focuses on large-scale usage tracking systems that enable accurate billing, actionable product analytics, and real-time operational insights. We contribute to Moody's by delivering systems that support usage-based billing and product visibility. We enable data-driven decisions across internal teams and customer platforms. We partner closely with stakeholders to deliver technology that moves the business forward. By joining our team, you'll be part of a collaborative, high-trust culture where engineers have autonomy, technical ownership, and the opportunity to make a meaningful impact on Moody's cloud-native transformation.
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.
Senior Software Engineer in London employer: Moody's Corporation
Contact Detail:
Moody's Corporation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Moody's on LinkedIn. A friendly chat can give us insider info and maybe even a referral, which can really boost our chances.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since this role involves C++, C#, or Java, make sure we can confidently discuss our experience and showcase our problem-solving abilities in distributed systems.
✨Tip Number 3
Show off our passion for AI! Moody's is keen on candidates who are curious about AI tools. Let’s think of examples where we've used or explored AI concepts in our projects and be ready to share them.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen. Plus, if we don’t meet every requirement, it’s still worth throwing our hat in the ring—Moody's values diverse perspectives!
We think you need these skills to ace Senior Software Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Software Engineer role. Highlight your experience with scalable backend systems and any relevant cloud technologies. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and how you can contribute to our mission at Moody's. Don't forget to mention any unique perspectives you bring to the table—diversity is key for us!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in distributed systems. We love candidates who can demonstrate strong debugging skills and innovative thinking—so let us know how you've made an impact!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t hesitate—let’s unlock some opportunities together!
How to prepare for a job interview at Moody's Corporation
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of C++, C#, or Java, as well as Agile and Test-Driven Development. Be ready to discuss your experience with scalable backend systems and any projects you've worked on that involved metering or telemetry.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled debugging and problem-solving in distributed systems. Think about challenges you've faced and how you approached them, especially in cloud environments like AWS, Azure, or GCP.
✨Communicate Clearly and Confidently
Since excellent communication is key, practice explaining complex technical concepts in simple terms. Be prepared to discuss how you've influenced technical decisions across teams and how you collaborate with others.
✨Demonstrate Your Curiosity About AI
Given the focus on AI at Moody's, show your enthusiasm for learning about AI tools and responsible practices. Share any experiences you have with AI concepts or how you've used them to improve processes in your previous roles.