Senior Cloud DevOps Engineer

Machine Learning Technologies, LLC; Houston (TX); On-site; USD 83,000 - 124,000; Full time

Job summary

Machine Learning Technologies, LLC in Houston, TX seeks a Senior Cloud DevOps Engineer to automate provisioning and deployment across AWS and GCP. You will build reusable infrastructure modules, implement CI/CD pipelines, and ensure secure, observable environments for RAG and knowledge pipelines.

The role requires 7–10 years in IT with strong Terraform, CI/CD, and cloud security expertise, plus familiarity with Vertex AI and Bedrock. Certifications are preferred. Remote work is not indicated.

Qualifications

• 7–10 years of IT experience with at least 5 years in DevOps, SRE, or Platform Engineering.
• Hands-on Terraform experience on AWS and GCP.
• Experience building and maintaining CI/CD pipelines.
• Strong knowledge of AWS and GCP provisioning and operations.
• Experience with AWS CDK, Google Cloud Build, and AWS CodePipeline.
• IAM, secrets management, networking, and cloud security expertise.
• Understanding of cloud landing zones and IaC best practices.
• Exposure to vector databases, search indexes, and RAG/knowledge pipelines.
• Familiarity with Vertex AI and AWS Bedrock infrastructure.
• AWS DevOps or Google Cloud DevOps certification preferred.

Responsibilities

• Design, implement, and maintain IaC using Terraform across AWS and GCP.
• Automate cloud resource provisioning, networking, IAM, secrets, and logging.
• Build and maintain CI/CD pipelines for deployment of pre-built packages.
• Provision and manage infrastructure for RAG and knowledge pipelines.
• Implement environment creation, updates, backups, and teardown.
• Establish monitoring, alerting, logging, and dashboards for readiness.
• Manage cloud security through IAM, secrets, private networking, and audit logs.
• Collaborate with architects and data engineers to create reusable modules.
• Optimize cloud costs with budgets, tagging, and idle-environment management.

Skills

Terraform

CI/CD pipelines

AWS & GCP infra

IAM & secrets

Cloud security

RAG / vector infra

Vertex AI / Bedrock

AWS CDK / Cloud Build

Tools

Terraform

AWS CDK

Google Cloud Build

AWS CodePipeline

Vertex AI

Bedrock

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: Senior Cloud DevOps Engineer
Location: Houston,TX
Duration: 10 Months + Extension
Bill Rate: $74/hour (C2C)
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description:

We are seeking an experienced Cloud DevOps Engineer with strong expertise in AWS, Google Cloud Platform (GCP), Terraform, Infrastructure-as-Code (IaC), and CI/CD automation.

The candidate will be responsible for automating the provisioning, deployment, configuration, and operational management of customer environments across AWS and GCP. The role involves building reusable infrastructure modules, managing cloud resources, implementing deployment pipelines, and ensuring secure, scalable, and observable environments.

The engineer will also manage the infrastructure supporting RAG and knowledge pipelines, including document stores, vector databases, search indexes, and indexing jobs. This is an infrastructure and platform engineering role, not a conversational application or retrieval logic development position.

Key Responsibilities:

• Design, implement, and maintain Infrastructure-as-Code using Terraform across AWS and GCP.
• Automate cloud resource provisioning, service enablement, networking, IAM, secrets management, and logging.
• Build and maintain CI/CD pipelines for controlled deployment and promotion of pre-built application packages and customer-specific configurations.
• Provision and manage infrastructure for RAG and knowledge pipelines, including document stores, vector databases, search indexes, and scheduled indexing jobs.
• Implement automated environment creation, updates, backups, snapshots, and teardown processes.
• Establish monitoring, alerting, logging, and dashboards to ensure operational readiness.
• Manage cloud security through IAM policies, secrets managers, private networking, and audit logging.
• Collaborate with architects, application specialists, and data engineers to translate infrastructure designs into reusable deployment modules.
• Optimize cloud costs through budgets, resource tagging, labels, and idle-environment management.

Required Skills & Qualifications

• 7–10 years of overall IT experience, with at least 5 years in DevOps, SRE, or Platform Engineering.
• Strong hands-on experience with Terraform on both AWS and GCP.
• Experience building and maintaining CI/CD pipelines.
• Strong knowledge of AWS and GCP infrastructure provisioning and operations.
• Experience with AWS CDK, Google Cloud Build, and AWS CodePipeline.
• Hands-on experience with IAM, secrets management, networking, and cloud security.
• Understanding of cloud landing zones and Infrastructure-as-Code best practices.
• Exposure to vector databases, search indexes, and RAG/knowledge pipeline infrastructure.
• Familiarity with Google Vertex AI and AWS Bedrock infrastructure.
• AWS DevOps/SysOps or Google Cloud DevOps certification preferred.
• Experience deploying contact-center or conversational AI platforms is an advantage.UU

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.