Toyota

Security Dev Ops/ Platform Engineer, Lead

Toyota$100K — $130K *
Plano, TX 75025In-Person
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years in AWS infrastructure engineering or platform/SRE roles
  • Deep Kubernetes/EKS experience, including troubleshooting
  • Production experience with Infrastructure as Code, preferably Terraform
  • Strong Docker and container orchestration skills
  • CI/CD pipeline design and implementation experience
  • Knowledge of AWS networking and IAM policy design
  • Strong communication and teamwork skills

Responsibilities

  • Design and implement cloud data lake architecture for security data
  • Build and manage container orchestration clusters with CPU and GPU groups
  • Create and maintain CI/CD pipelines for platform components
  • Write Infrastructure as Code using Terraform or CDK
  • Implement monitoring, alerting, and observability for the platform
  • Manage container lifecycle and security controls
  • Optimize cloud costs and ensure secure authentication for APIs

Benefits

  • Work environment based on teamwork, flexibility, and respect
  • Professional growth programs and tuition reimbursement
  • Vehicle purchase and lease programs
  • Comprehensive health care and wellness plans for families
  • 401(k) Savings Plan with company match and retirement contributions
  • Paid holidays and time off
  • Referral services for family needs and childcare
  • Tax Advantaged Accounts for health and dependent care
Full Job Description
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)


About Toyota

Toyota Motor Corporation is a Japanese multinational automotive manufacturer headquartered in Toyota City, Aichi, Japan. The company was founded in 1937 by Kiichiro Toyoda and has since grown to become the world's largest automotive manufacturer. Toyota Motor Corporation produces a wide range of vehicles including cars, trucks, and buses. The company is committed to sustainability and has set a goal of achieving zero carbon emissions by 2050. Toyota Motor Corporation has operations in over 170 countries and regions around the world.
Learn more about Toyota
Size
372,817 employees
Market Cap
$225.1 billion
Industry
Net Income
$1,531.2 billion
Founded
1937
5 Year Trend
+2.6%
Revenue
$26,625.1 billion
NASDAQ

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