AWS AI Lead Engineer

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. Experians 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. Experians people first approach is award-winning; Worlds 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 Experians 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.

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Remote Work :

No

Employment Type :

Full-time