Senior Software Engineering Manager

Experian • Madison, MS

10d • Hybrid

About The Position

Financial Services Division (FSD) Engineering team is looking for an Engineering leader that can excel in a non-traditional environment, working with the latest of the Cloud and Big Data analytics ecosystem. Data is the currency in today's world, and in this role, you will be at the forefront of a digital transformation. Reporting to the Director of Software Development, we are looking for a Senior Manager of Software Engineering to lead the development and operations of our real-time API platform, a critical component that powers mission-critical integrations across our ecosystem. You will manage a high-performing team of engineers responsible for designing, building, and scaling available, low-latency APIs that support millions of transactions per day. We ask that you have a balance of technical depth, and people leadership. You will lead engineering teams building platform capabilities and solutions for our clients using Experian bureau data and other 3rd party data. Your team will work on important projects to accelerate the development, training, testing and deployment of solutions for clients by providing a self-service intuitive UI. You will build data pipelines at scale for our batch clients and integrating with 3rd party providers for our real-time clients.

Requirements

• Bachelor's degree in Computer Science, Engineering, or related field
• 8+ years of software engineering experience with at least 3+ years in engineering leadership roles
• Proven experience managing real-time, high-throughput API platforms in production environments
• Knowledge of distributed systems, cloud platforms (AWS/GCP/Azure), and modern backend stacks (e.g., Node.js, Java, Go, or Python)
• Experience with API gateways, load balancing, caching, and observability tools (Kibana, Grafana, Datadog, and Prometheus)
• Familiarity with event-driven architectures, message queues (Kafka) and stream processing frameworks

Nice To Haves

• Experience developing ML Ops capabilities
• Data Science & ML experience
• DevOps Knowledge: Docker and Kubernetes

Responsibilities

• Lead and mentor a team of software engineers, encouraging an inclusive engineering culture
• You'll manage hiring, performance management, and career development for your team
• Oversee the architecture, design, and implementation of real-time APIs with a focus on scalability, reliability, and latency
• You will create platform evolution, including modernization, observability, and CI/CD best practices
• Champion Service level agreements, and incident response for platform services
• Collaborate with Architects and Principal Engineers to define the long-term vision and roadmap for the API platform
• Ensure the team follows software engineering best practices including testing, code reviews, and documentation
• Guide the use of latest technologies that support real-time processing, event streaming, and performance optimization
• Work with Product Management, DevOps, and other engineering teams to align technical plans with our goals
• Partner with security, compliance, and infrastructure teams to ensure platform meets regulatory and operational standards
• Manage the delivery lifecycle of major platform plans
• Track important performance metrics (availability, latency, throughput) and ensure continuous improvement
• Manage the delivery of insightful dashboards and data visualizations
• Identify risks early and implement mitigation strategies

Benefits

• Great compensation package and bonus plan
• Core benefits including full medical, dental, vision, and matching 401K
• Flexible schedule, ability to work remotely, hybrid, or in-office
• Flexible time off, including volunteer time off, vacation, sick, and 12-paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees