Senior AI Platform Engineer designing and operating backend services for payroll platform automation. Involves integrating LLMs into production services and developing cloud infrastructure.
About the role
- Senior Container Platform Engineer at LexisNexis leading design, build, and optimization of cloud-native application platforms with AWS and Kubernetes. Collaborating with DevOps, SRE, and Security teams for scalable, secure solutions.
Responsibilities
- Design, implement, and maintain enterprise-grade container platforms on AWS using EKS, ECS, and Fargate
- Build and operate multi-tenant Kubernetes clusters with strong availability, scalability, and security
- Implement GitOps workflows using Argo CD for automated, reliable deployments
- Package and deploy applications using Helm charts and Kubernetes manifests
- Provision infrastructure using Terraform or CloudFormation with reusable modules and best practices
- Automate cluster provisioning, upgrades, patching, and lifecycle management
- Develop scripts and platform tooling using Go, Python, or Bash to enable automation, integrations, and operational efficiency
- Implement monitoring, logging, and alerting for container workloads (e.g., Prometheus, Grafana, CloudWatch)
- Optimize resource utilization and cloud costs without compromising performance
- Lead incident response, troubleshooting, and post-mortems for platform issues
- Partner with development teams to design container-ready applications and CI/CD pipelines
- Mentor engineers and promote platform engineering best practices
- Drive adoption of cloud-native security, governance, and compliance standards
Requirements
- 5+ years of experience in cloud-native infrastructure or platform engineering
- Strong expertise with AWS services: EKS, ECS, Fargate, IAM, VPC, CloudWatch, and networking
- Deep understanding of Kubernetes internals, networking, RBAC, and multi-tenant architecture
- Hands-on experience with Argo CD, Helm, and GitOps practices
- Proven experience with Infrastructure as Code (Terraform preferred) and CI/CD pipelines
- Strong knowledge of container security, scaling, and workload isolation
- Solid scripting and programming experience (Go, Python, Bash, or similar) to build automation, platform services, and internal tools
Benefits
- Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
- Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
- Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
- Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
- Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
- Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
- Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice
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