Senior Software Engineering Manager

Job not on LinkedIn

September 22

Apply Now

Receive Emails with Similar Jobs

Experian

WebsiteLinkedInAll Job Openings

Artificial Intelligence • B2B • SaaS

Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.

10001 employees

Founded 1996

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

📋 Description

• Lead engineering teams building platform capabilities and solutions for clients using Experian bureau data and other 3rd party data • Manage hiring, performance management, and career development for your team; lead and mentor software engineers • Oversee the architecture, design, and implementation of real-time APIs with a focus on scalability, reliability, and latency • Create platform evolution including modernization, observability, and CI/CD best practices; champion SLAs and incident response • Collaborate with Architects, Principal Engineers, Product Management, DevOps, security, compliance, and infrastructure teams • Manage the delivery lifecycle, track performance metrics (availability, latency, throughput), and deliver dashboards and visualizations • Identify risks early and implement mitigation strategies; report to the Director of Software Development

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

🏖️ 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 • Eligible for variable pay opportunity