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 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 realize their financial goals and help them save time and money.
We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.
We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.
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Description
We are looking for a Staff Software Engineer with a platform mindset to help shape the future of our enterprise-wide Data, Analytics, and AI/ML platform capabilities.
This role is not focused on building one-off ML models or applications. Instead, you'll build the foundational capabilities - the architecture, infrastructure, and reusable services - that power data-driven and AI-enabled products across the organization.
You will report to the Senior Director of Platform Engineering.
You'll have the opportunity to:
- Architect and build core platform components that support the entire data, analytics, and AI/ML lifecycle - including data processing, feature engineering, model training/serving, observability, and governance.
- Define solution architectures for internal platform capabilities and reference implementations for common AI/analytics use cases.
- Lead the build vs. buy evaluation for components such as MLOps frameworks, vector stores, orchestration layers, and AI development tools.
- Stay current with modern data and ML architectures, including lakehouses, LLM orchestration patterns, and multi-tenant model serving.
- Partner with engineering, data science, and product teams to enable enterprise-scale adoption of shared platform services.
- Guide platform integration with public cloud services (AWS preferred), CI/CD pipelines, and observability stacks.
- Drive internal adoption by influencing engineering teams across global and regional product lines.
- Mentor engineers on platform best practices, architecture decisions, and scalability patterns.
Qualifications
Your background:
- 5+ years of software engineering experience, with a deep exposure to building platforms for data, analytics, or ML/AI workloads.
- Background in distributed systems, cloud-native architecture, and data-intensive platforms.
- Proficiency in Python, Java, or Scala.
- Experience with big data processing frameworks (e.g., Spark, Flink) and modern data architectures (e.g., Lakehouse, Delta Lake, Apache Iceberg).
- Experience with cloud platforms (AWS preferred), including Terraform, Helm, or other Infrastructure-as-Code tools.
- Solid knowledge of Docker, Kubernetes, and building production-grade CI/CD pipelines.
- Track record of architectural leadership, influencing technology adoption and driving platform reuse across teams.
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 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, 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. This position is also eligible for a variable pay opportunity and a comprehensive benefits package.
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.