Senior Software Engineer

• GenAI Infrastructure: Architect and maintain secure, scalable cloud infrastructure on AWS specifically tailored for Large Language Model (LLM) inference and training workloads.
• Databricks Management: Administer Databricks workspaces, optimizing group configurations, Unity Catalog governance, and compute costs for data engineering and ML teams.
• Infrastructure as Code (IaC): using Terragrunt (and Terraform) to automate the provisioning of all platform resources, ensuring environments are reproducible and consistent.
• CI/CD & Automation: Design and maintain efficient CI/CD pipelines using Jenkins to automate the testing and deployment of ML models, infrastructure changes, and application code.
• Operational Excellence: Implement monitoring, logging, and alerting (observability) for GenAI applications to ensure high availability and low latency.

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.

• Education: Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
• Experience: 5+ years of experience in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE).
• AWS Expertise: Hands-on experience with AWS core services (EC2, EKS, VPC, IAM, S3, and Lambda).
• IaC Proficiency: Demonstrated expertise in Terragrunt and Terraform for managing complex infrastructure state.
• CI/CD: ability to build and manage pipelines using Jenkins.
• Data & ML Platforms: Experience managing Databricks or similar big data platforms (Spark, Snowflake).
• You will report to Senior Manager

Preferred Skills (Bonus):

• Experience deploying Generative AI models (LLMs) or working with vector databases.
• Proficiency in Python scripting.
• Knowledge of containerization (Docker/Kubernetes) specifically for ML workloads.

Our uniqueness is that we truly celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's strong 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. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Experian Careers - Creating a better tomorrow together

Benefits

Experian care for employee's work life balance, health, safety and wellbeing. In support of this endeavor, we offer best-in-class family well-being benefits, enhanced medical benefits and paid time off.

Experian Careers - Creating a better tomorrow together

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