Security Dev Ops/ Platform Engineer, Lead

Overview Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We’re looking for talented team members who want to Dream. Do. Grow. with us. Who we are An important part of the Toyota family is Toyota Financial Services (TFS), the finance and insurance brand for Toyota and Lexus in North America. While TFS is a separate business entity, it is an essential part of this world‑changing company—delivering on Toyota’s vision to move people beyond what’s possible. At TFS, you will help create best‑in‑class customer experience in an innovative, collaborative environment. DevOps/Platform Engineer, Security Intelligence Location: Plano, Texas To save time applying, Toyota does not offer sponsorship of job applicants for employment‑based visas or any other work authorization for this position at this time. Who We’re Looking For 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. 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 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 Added bonus if you have 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 What We’ll Bring During your interview process, our team can fill you in on all the details of our industry‑leading benefits and career development opportunities. A few highlights include: 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) Belonging at Toyota Our success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star. Toyota is proud to have 10+ different Business Partnering Groups across 100 different North American chapter locations that support team members’ efforts to dream, do and grow without questioning that they belong. EEO Statement 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. Contact Please send an email to View email address on click.appcast.io. #J-18808-Ljbffr Dormont Manufacturing Co