Senior Software Engineer, Real-Time

• Build and improve software components that aggregate, correlate and present data from over 30 global distribution sites
• Develop applications and data-processing logic to identify performance issues, service degradation and hotspots across distributed systems
• Contribute to telemetry pipelines that ingest, transform and route metrics, logs and traces into a common observability layer
• Deliver synthetic monitoring capabilities measuring the performance and experience of Real-Time services from locations around the world
• Develop APIs, automation and configuration for managing observability services and capabilities
• Use Git, CI/CD and configuration-as-code practices to deploy and maintain software and observability assets consistently across environments
• Work with engineering squads to add and improve instrumentation across Development, Test, PPE and Production environments
• Collaborate with expert engineers on observability, distributed systems, cloud-native software and real-time data platforms
• Contribute ideas and improvements as the Real-Time observability platform evolves

Requirements

• Hands-on software engineering experience gained through employment, a graduate role, or open-source contribution
• Ability to write and explain software in performance-oriented languages such as Go, modern C++ or Rust
• Good understanding of core software engineering concepts
• Familiarity with APIs, Git and modern software development practices
• Interest in market data, observability, distributed systems, telemetry, data pipelines, real-time systems, performance engineering or cloud-native technology
• Demonstrated analytical and problem-solving ability in a complex engineering or academic domain
• Willingness to learn unfamiliar technologies and develop knowledge of complex systems
• Good communication and collaboration skills
• Exposure to financial markets, market data or real-time or latency-sensitive systems is desirable
• Exposure to metrics, logging, distributed tracing or observability platforms is desirable
• Exposure to OpenTelemetry SDKs, collectors or telemetry standards is desirable
• Exposure to Kubernetes, containers or cloud platforms is desirable
• Exposure to data-processing, event-streaming or telemetry-pipeline technologies is desirable
• Exposure to CI/CD, GitOps or configuration-as-code approaches is desirable
• Exposure to synthetic monitoring, automated testing, probes or distributed agents is desirable

Core Competencies

Demonstrates expertise in software engineering with a focus on performance-oriented languages such as Go, modern C++, or Rust, and a strong understanding of observability, distributed systems, and real-time data platforms. Proficient in developing APIs, automation, and utilizing CI/CD practices for consistent software deployment and maintenance.

Highest-signal resume keywords

• Software Engineering Experience
• Performance-Oriented Languages (Go, C++, Rust)
• APIs Development
• Observability and Telemetry
• CI/CD and Configuration-as-Code

Hard Skills

• Software Engineering
• Performance-Oriented Languages
• APIs Development
• Data Processing
• Event Streaming
• Telemetry Pipelines
• Distributed Systems
• Real-Time Systems
• Observability Platforms
• Automated Testing

Soft Skills

• Analytical Ability
• Problem-Solving
• Communication
• Collaboration
• Willingness to Learn

Industry Keywords

• Financial Markets
• Market Data
• Latency-Sensitive Systems
• Observability
• Telemetry

Tools & Technologies

• Git
• CI/CD
• Kubernetes
• OpenTelemetry
• Cloud Platforms
• Containers
• Synthetic Monitoring
• Distributed Tracing
• Configuration-as-Code
• Telemetry Standards

#J-18808-Ljbffr