Company Description
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them to save time and money.
We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments.
We invest in people and new advanced technologies to unlock the power of data and to innovate. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 23,300 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.
Job Description
We are looking for a Software Engineering Manager to lead the development of cutting-edge, machine learning-driven products on AWS. This role is ideal for a technically strong, innovation-minded leader who thrives at the intersection of software engineering, data science, and cloud architecture. You will guide a team of software engineers, Cloud DevOps engineers, and MLOps engineers and to build scalable, intelligent applications that drive business transformation. You will report to the Director of Analytics.
Key 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.
Qualifications
- 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.
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.
Additional Information
Benefits/Perks:
- 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
- Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html
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, collaboration, wellness, reward & recognition, volunteering… the list goes on. Experian’s people first approach is award-winning; World’s Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.
Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be also eligible for a variable pay opportunity.
Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. Innovation is an important part of Experian’s DNA and practices, and our inclusive workforce allows everyone to succeed and bring their whole self to work. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
#LI-Remote
This is a remote position.
