Security Dev Ops/ Platform Engineer, Lead

Overview We are Toyota Financial Services (TFS), the finance and insurance brand for Toyota and Lexus in North America. TFS supports a culture of collaboration, respect, and innovation. Location Plano, Texas, USA What You’ll Be Doing Design and implement cloud data lake architecture for security telemetry ingestion and retention. Build and manage container orchestration clusters – including CPU and GPU node groups for model inference. Create and maintain CI/CD pipelines for all platform components (data connectors, dashboards, ML models). Write and maintain Infrastructure as Code using Terraform or CDK across all environments. Implement monitoring, alerting, and observability (metrics, logging, distributed tracing). Manage container lifecycle – images, registry, deployment strategies, scaling policies. Handle secrets management, network architecture, and security controls for the platform itself. Optimize cloud costs – right‑sizing instances, reserved capacity planning, spot instance strategies. Support ML training infrastructure (training jobs, model endpoints, model registry). Build and maintain model serving infrastructure for production inference workloads. Ensure all processing occurs on internal cloud infrastructure with no data leaving the corporate network. Implement secure authentication for all API connections to enterprise security tools. What You Bring 4+ years in AWS infrastructure engineering or platform/SRE roles. Deep Kubernetes/EKS experience – cluster management, networking, autoscaling, troubleshooting. Production experience with Infrastructure as Code (Terraform preferred, CDK acceptable). Strong Docker and container orchestration skills. CI/CD pipeline design and implementation (GitHub Actions, GitLab CI, or similar). AWS networking: VPC design, security groups, private subnets, VPC endpoints. IAM policy design – least‑privilege access patterns, cross‑account roles, service‑linked roles. Strong communication and interpersonal skills with the ability to work collaboratively in a cross‑functional team environment. Experience with GPU workloads on Kubernetes (NVIDIA device plugin, GPU scheduling) is a bonus. Familiarity with ML platform infrastructure (training jobs, model endpoints, model registry). Experience managing cloud data lakes at scale (lifecycle policies, partitioning strategies, query engine integration). Background in security‑sensitive environments – SOC2, SOX, or financial services compliance. Cost optimization experience – FinOps practices, reserved instance management, Savings Plans. Experience with model serving frameworks (vLLM, Triton Inference Server, TensorRT). Self‑motivated, thrives in ambiguous environments, and can build processes from the ground up. What We’ll Bring A work environment built on teamwork, flexibility, and respect. Professional growth and development programs, including tuition reimbursement. Vehicle purchase & lease programs. Comprehensive health care and wellness plans for your entire family. Toyota 401(k) Savings Plan featuring a company match and an annual retirement contribution from Toyota regardless of your contribution. Paid holidays and paid time off. Referral services related to prenatal services, adoption, childcare, schools and more. Tax‑advantaged accounts (Health Savings Account, Health Care FSA, Dependent Care FSA). Equal Opportunity Employer Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law. #J-18808-Ljbffr TCC Toyota Motor Credit Corporation Company