Senior Software Engineer

LGBT Great; London; On-site; GBP 65,000 - 85,000; Full time

Job summary

A global leader in ratings and integrated risk assessment is seeking a Backend Systems Engineer in London. The role involves designing scalable metering systems and collaborating with teams to deliver integrated solutions. Ideal candidates should have at least 4 years of backend experience and a Bachelor's degree in Computer Science. This position also values excellent communication skills and cloud experience.

Qualifications

• 4+ years of experience in backend system design and deployment.
• Proficient in at least one of C++, C#, or Java.
• 2+ years of cloud experience with AWS, Azure, or GCP.

Responsibilities

• Design and implement scalable metering systems for billing and insights.
• Build cloud-native metering pipelines for usage tracking.
• Guide junior engineers and set technical direction.

Skills

4+ years of experience designing and deploying scalable backend systems

Proficiency in C++, C#, or Java

2+ years of experience with public cloud (AWS, Azure, or GCP)

Strong debugging and problem-solving skills in distributed systems

Excellent communication skills

Experience with event-driven architectures

Basic understanding of artificial intelligence concepts

Education

Bachelor’s degree in Computer Science or a related field

Advanced degree (Master’s or PhD) in a relevant discipline

Tools

Kafka

Databricks

Job description

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

• 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.

Education

• 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.

Responsibilities

• 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.

About the team

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.