Senior Software Engineering Manager

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August 3

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Experian

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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

• 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. • 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. • 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. • Additional responsibilities include: Team Leadership, Platform Ownership, Technical Strategy, Collaboration, Delivery & Execution.

🎯 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 • Our uniqueness is that we celebrate yours. • Experian's culture and people are important differentiators. • We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. • Experian's people first approach is award-winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few.