AWS AI Lead Engineer at Experian

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

12 Jul, 26

Salary

0.0

Posted On

13 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS, Terraform, CloudFormation, Jenkins, GitHub Actions, Docker, Kubernetes, ArgoCD, Prometheus, Grafana, OpenTelemetry, SonarQube, Snyk, AWS Bedrock, FinOps, DevSecOps

Industry

Information Services

Description

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. Job Description Job description Key Responsibilities Cloud Infrastructure & Platform Engineering Design and manage scalable AWS infrastructure using Infrastructure as Code Terraform, CloudFormation, CDK Build reusable platform components and golden paths for engineering teams. Implement multi-account, multi-region architectures with strong governance. CI CD and Release Engineering Design and maintain end-to-end CI CD pipelines using Jenkins Harness GitHub Actions or similar Enable progressive delivery strategies blue green canary feature flags Integrate automated testing security scanning, and compliance checks into pipelines Containerization and Orchestration Build and manage containerized workloads using Docker and Kubernetes EKS Implement GitOps workflows using ArgoCD Flux Optimize cluster performance cost and reliability Observability & AIOps Implement full-stack observability using CloudWatch Prometheus Grafana OpenTelemetry Build AI assisted monitoring and alerting systems for anomaly detection and root cause analysis Enable self healing systems using automation and event driven responses Security & DevSecOps Embed security into pipelines using SonarQube Snyk Veracode Trivy Implement IAM best practices secrets management and zero trust principles Ensure compliance with enterprise security and data governance standards AI Enabled DevOps Leverage AI tools Claude Code Copilot for automation script generation and pipeline optimization Build agent driven operational workflows auto-remediation incident summarization runbook generation Use AWS Bedrock AI services for intelligent automation and operational insights Cost Optimization & Reliability Implement FinOps practices for cost visibility and optimization Define and monitor SLOs SLIs and error budgets Drive reliability engineering practices across platforms Collaboration & Enablement Partner with engineering teams to improve developer experience DevEx Enable teams through self service platforms and automation Contribute to platform engineering standards and best practices Qualifications Qualifications AI Engineer Additional Information 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. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important 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, colour, 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 Find out what its like to work for Experian by clicking here Employee Status: Regular Role Type: Hybrid Department: Technology Schedule: Full Time

Responsibilities

Design and manage scalable AWS infrastructure while implementing CI/CD pipelines and containerized workloads. Drive reliability engineering, cost optimization, and AI-enabled operational workflows to enhance developer experience.