Senior Software Engineer – Real-Time Data Platform

Morningstar Credit Ratings, LLC; Greater London; On-site; GBP 68,200 - 95,333; Full time

Benefits offered by this job

Hybrid work model

Job summary

Morningstar Credit Ratings, LLC is seeking a Senior Software Engineer to design, build, and operate a core data platform delivering real-time market data across the organisation. You will own significant components in a high‑throughput, low‑latency environment and collaborate with product teams to deliver reliable, scalable systems.

You’ll work on event‑driven data processing with Flink and Kafka, develop Java and .NET APIs, and drive observability and cost‑efficient operations while

Qualifications

• Experience with distributed systems and event-driven architectures.
• Hands-on experience with Apache Flink and Kafka.
• Proficiency in .NET or Java.
• Experience building observable, operable systems with strong monitoring and logging.
• Ability to design cost-efficient, scalable cloud services.
• Strong collaboration and communication.

Responsibilities

• Design and build scalable, real‑time data processing systems using Apache Flink and Kafka.
• Develop high‑quality code for Apache Flink (Java) data processing and .NET APIs.
• Lead and contribute to collaborative system design, end‑to‑end ownership from implementation to production support.
• Build production‑grade systems with observability, monitoring, and operational excellence.
• Work with AWS services to build cloud‑native, highly available systems; define and manage infrastructure using Terraform.
• Implement CI/CD pipelines and deployment workflows using Harness.
• Optimize systems for performance, latency, throughput, and cost.

Skills

Distributed systems

Apache Flink

Kafka

Java

.NET

Observability

Monitoring

Cost awareness

Communication

Collaboration

Job description

We’re looking for a Senior Software Engineer to join our team building and operating the core data platform that powers our business. This platform sits at the heart of everything we do, delivering high‑quality, real‑time market data to systems and teams across the organisation. If you enjoy working on high‑throughput, low‑latency systems at massive scale, and want to take ownership of meaningful, business‑critical problems, this role is for you.

About the Role

You’ll be working on a distributed, event‑driven platform responsible for processing billions of market data messages per day. This is a high‑performance environment where reliability, scalability, and correctness are essential. Your work will support downstream systems that depend on timely, accurate market data for analytics. You’ll collaborate closely with engineers, product teams, and stakeholders to design, build, and operate resilient systems that handle extreme data volumes with precision, while also maintaining a strong focus on cost efficiency, scalability, and operational excellence.

Key Responsibilities

• Design and build scalable, real‑time data processing systems using technologies such as Apache Flink and Kafka.
• Develop high‑quality, maintainable code for Apache Flink (Java) data processing and .NET APIs.
• Lead and contribute to collaborative system design, taking end‑to‑end ownership from implementation to production support.
• Build production‑grade systems with a strong focus on observability, monitoring, and operational excellence, enabling rapid detection and resolution of issues.
• Work with AWS services to build cloud‑native, highly available systems; define and manage infrastructure using Terraform.
• Implement CI/CD pipelines and deployment workflows using tools such as Harness.
• Optimize systems for performance, latency, throughput, and cost.

What We’re Looking For

• Excellent collaboration and communication skills.
• Strong experience in distributed systems and event‑driven architectures.
• Hands‑on experience with Apache Flink (or similar stream processing frameworks) and Kafka or other messaging systems.
• Strong proficiency in .NET or Java.
• Experience building systems that are highly observable and operationally mature, with strong monitoring, logging, and alerting practices.
• Strong understanding of performance tuning, scalability, and fault tolerance.
• Good understanding of cost implications when designing systems, including the ability to project costs as we scale.

Why Join Us

• Work on systems that are mission‑critical to the entire business.
• Operate and evolve a platform handling billions of messages per day.
• Solve complex engineering challenges at massive scale.
• Be part of a team that values ownership, collaboration, and delivery.
• Opportunity to shape a high‑performance, cost‑efficient, and highly observable data platform.

Compensation

Base Salary: GBP 68,200.00‑95,333.33
Bonus Target: 12.5% Annual

Work Environment

Morningstar’s hybrid work model offers four days of in‑office work each week, complemented by flexible arrangements that enable team collaboration and individual focus.

Equal Opportunity Employer

Morningstar is a global independent investment research and financial data company. We are strongly committed to creating and preserving equal opportunity for all employees and applicants. We make all employment decisions—without regard to race, color, ancestry, religion, sex, national origin, age, disability, protected veteran status, marital status, sexual orientation, genetic information, citizenship, gender identity and expression, parental status, or other legally protected characteristics or conduct.