Security Dev Ops/ Platform Engineer, Lead

Toyota North America • Plano, TX

3d • Onsite

About The Position

Toyota Financial Services (TFS) Technology team is looking for a highly motivated person to fill a role as a DevOps/Platform Engineer within the Security Intelligence Engineering organization. You'll own the AWS cloud infrastructure that powers AI-driven security intelligence platform — from data lake architecture and serverless functions, through container orchestration clusters with GPU node groups for model inference. This role ensures the platform is reliable, secure, observable, and cost-efficient as it scales. You build the foundation that lets engineers ship AI-powered security features without worrying about infrastructure — and you ensure no security data ever leaves the corporate network.

Requirements

• 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 strongly 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

Nice To Haves

• Experience with GPU workloads on Kubernetes (NVIDIA device plugin, GPU scheduling)
• 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 — SOC 2, 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 individual who thrives in ambiguous environments and can build processes from the ground up

Responsibilities

• 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

Benefits

• A work environment built on teamwork, flexibility, and respect
• Professional growth and development programs to help advance your career, as well as 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, as well as an annual retirement contribution from Toyota regardless of whether you contribute
• 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)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed