MLOps Engineer III

Overview

On Site
USD77 - USD82
Contract - W2

Skills

MLOps Engineer III

Job Details

job summary:

Summary

We are seeking a Senior DevOps Engineer with expert-level AWS and Terraform skills to join our Big Data Services team. This role focuses on automating cloud infrastructure and DevOps workflows in AWS to support enterprise-scale data

location: Houston, Texas

job type: Contract

salary: $77 - 82 per hour

work hours: 9am to 5pm

education: No Degree Required



responsibilities:

Responsibilities

  • Design, build, and automate AWS infrastructure using Terraform (IaC).
  • Develop and maintain CI/CD pipelines with GitHub Actions and Runners, integrated into AWS.
  • Support data ingress from on-premises systems into AWS with a basic understanding of networking principles.
  • Partner with Data Scientists to support ML model workflows in SageMaker and MLflow.
  • Automate deployments and operations with Python, Bash, Shell, YAML, JSON.
  • Collaborate with engineers, security, and data science teams to deliver scalable and secure solutions.



qualifications:

Qualifications


  • Bachelor's degree in Computer Science or related field, or equivalent hands-on experience.
  • Hands-on AWS and Terraform expertise outweighs formal education
  • 8+ years DevOps experience, with proven AWS expertise (Azure experience does not substitute).
  • Advanced Terraform automation experience (must-have).
  • Strong background in AWS services: EC2, S3, RDS, Lambda, SageMaker, EKS.
  • Experience with GitHub Cloud, Actions, and Runners.
  • 5+ years of CI/CD pipeline development and management.
  • Strong scripting skills in Python, Bash, Shell, YAML, JSON.
  • Experience with Docker and Kubernetes.
  • Excellent communication and teamwork skills.

Preferred Qualifications


  • Knowledge of Security as Code (SaC) practices.
  • Familiarity with networking between on-prem and AWS.
  • Exposure to MLOps workflows (SageMaker, MLflow).



skills:

Artificial Intelligence,Amazon Web Services,Amazon Elastic Compute Cloud,Amazon S3,Automation,Bash Shell,Continuous Integration,DevOps,Github,JSON,Python (Programming Language),Unix Shell,Machine Learning,Cloud Services,Tensorflow,YAML,Pytorch,Deep Learning,Amazon Relational Database Service,Scikit Learn,Kubernetes,Terraform,Docker




Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.


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