AWS DevOps Engineer (With deep expertise in MLOps)

Overview

Who we are

Who we are

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 worlds 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. Were looking for diverse talented team members who want to Dream. Do. Grow. with us.

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 Were Looking For

Toyota Financial Services is looking for a seasoned AWS DevOps Engineer with deep expertise in MLOps to design deploy and support a scalable SageMaker platform that accelerates the end-to-end machine learning lifecycle. This role will empower data scientists by enabling seamless model development versioning deployment and monitoring in production. The ideal candidate will manage AWS infrastructure enforce enterprise security and integrate Single Sign-On (SSO) with Okta while supporting a broad range of AWS services and automating infrastructure as code.

What Youll Do
Design deploy and maintain a robust AWS SageMaker platform to support the full ML lifecycle: data preparation model training tuning deployment monitoring and retraining.
Collaborate closely with data scientists to productionize machine learning models ensuring scalability reliability and performance.
Implement model versioning lineage tracking and governance to support reproducibility and auditability.
Build and maintain MLOps pipelines that automate continuous integration continuous delivery (CI/CD) and continuous training (CT) of ML models.
Manage AWS infrastructure including EC2 ECS Fargate ALB S3 DynamoDB OpenSearch and AWS Bedrock to support AI/ML workloads.
Enforce enterprise security best practices using IAM Guardrails and AWS security services.
Configure and manage Single Sign-On (SSO) integration with Okta and Mulesoft proxy for secure platform access.
Automate infrastructure provisioning and management using Infrastructure as Code (IaC) tools such as Terraform and OpenTofu.
Monitor deployed models and infrastructure for performance drift and anomalies; implement alerting and remediation workflows.
Support containerized microservices architecture with Python-based services establishing CI/CD pipelines for rapid deployment.
Stay current with AWS services MLOps frameworks AI ecosystem trends and DevOps best practices.

What you bring
5 years of hands-on experience in AWS cloud infrastructure and DevOps engineering with a strong focus on MLOps.
Expertise in AWS services: SageMaker (including SageMaker Pipelines Model Registry) ECS Fargate EC2 ALB S3 DynamoDB OpenSearch AWS Bedrock.
Proven experience in productionizing ML models managing model versioning lineage and lifecycle.
Strong skills in Infrastructure as Code using Terraform and OpenTofu.
Experience designing and implementing CI/CD pipelines for ML workflows and Python microservices.
Deep understanding of AWS security best practices IAM policies Guardrails and enterprise security frameworks.
Experience integrating Single Sign-On (SSO) solutions using Okta and Mulesoft proxy.
Familiarity with ML lifecycle management tools and frameworks.
Strong scripting and automation skills.
Excellent problem-solving collaboration and communication skills.

Added bonus if you have

AWS certifications (e.g. AWS Certified DevOps Engineer AWS Certified Machine Learning Specialty).
Experience with container orchestration microservices and serverless architectures.
Knowledge of monitoring logging and alerting tools for ML models and cloud infrastructure.
Familiarity with open-source MLOps tools (e.g. MLflow Kubeflow) is a plus.

What well 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

• Team Member Vehicle Purchase Discount.

• Toyota Team Member Lease Vehicle Program (if applicable).

• 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

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.

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.

Have a question need assistance with your application or do you require any special accommodations Please send an email to .