Software Engineering Manager

Summary

Join Experian as a Software Engineering Manager to lead the development of cutting-edge, machine learning-driven products on AWS. Guide a team of software engineers, Cloud DevOps engineers, and MLOps engineers in building scalable, intelligent applications. Partner with product managers and software engineers to translate business challenges into innovative solutions. Architect and implement cloud-native systems using AWS services. Foster a culture of experimentation and continuous improvement. Ensure engineering excellence through code reviews, mentoring, and best practices. Drive technical strategy and roadmap planning.

Requirements

• 8+ years of experience in software engineering, including 3+ years in a leadership or management role
• Proven experience delivering ML-based or data-intensive products in a cloud environment
• Strong background in backend development (e.g., C#, .NET, Python) and cloud-native architecture
• Hands-on experience with AWS services, APIs, and microservices
• Familiarity with MLOps practices and tools for model deployment and monitoring
• Excellent leadership, communication, and cross-functional collaboration skills

Responsibilities

• Lead a cross-functional engineering team in the design, development, and deployment of ML-powered applications and services on AWS
• Partner with product managers and software engineers to translate business challenges into innovative, data-driven solutions
• Architect and implement cloud-native systems using AWS services such as API Gateway, Lambda, S3, DynamoDB, and Step Functions
• Foster a culture of experimentation, rapid prototyping, and continuous improvement
• Ensure engineering excellence through code reviews, mentoring, and the adoption of best practices in CI/CD, testing, and observability
• Drive technical strategy and roadmap planning for product development with an API-centric approach
• Stay current with emerging technologies in AI/ML, cloud computing, and software engineering to inform innovation initiatives

Preferred Qualifications

• AWS certifications (e.g., Solutions Architect)
• Experience with real-time data processing (e.g., Kinesis, Kafka)
• Background in building recommendation systems, predictive analytics, or NLP applications
• Experience working in agile, product-driven environments

Benefits

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