Top 17 Cloud security Jobs in Angleton, Tx

GCP DevOps Engineer - AI trainer
micro1 —United States
- $200,000 - $300,000 a year
- Contract
- Remote
- Azure
- AWS
- Analysis skills
- Paid time off
- 401(k) matching
12d
Azure DevOps Engineer - AI trainer
micro1 —United States
- $200,000 - $300,000 a year
- Full-time
- Remote
- Azure
- 5 years
- System design
- Paid time off
- 401(k) matching
12d

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Zip Staff Inc. —Houston, TX
Do you have hands-on experience designing and maintaining production CI/CD pipelines using tools such as Azure DevOps, GitHub Actions, Jenkins, or similar?
$58 - $60 an hour
Quick Apply
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Decision Scientist - AI Trainer
DataAnnotation —Houston, TX
A bachelor's degree in a quantitative field preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); an advanced degree (Master’s or PhD)…
$50 - $100 an hour
Quick Apply
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GCP DevOps Engineer - AI trainer

micro1 -
United States

Apply Now

Job Details

Contract
$200,000 - $300,000 a year
12 days ago

Benefits

Paid time off
401(k) matching
Flexible schedule

Qualifications

Containerization systems
Performance monitoring
Teamwork
Cloud Logging
Continuous Delivery (CD) implementation
Software deployment
Infrastructure as Code (IaC)
Live event audio projects
Infrastructure architecture design
IT monitoring tools
Attention to detail
Production monitoring
Monitoring system implementation
Cloud automation
Technical troubleshooting support
DevOps automation
Cloud monitoring
Time management
Production troubleshooting

Full Job Description

Job Title

GCP DevOps Engineer - AI Trainer

Job Type

Full-time

Compensation Structure

Base salary: $200,000–$300,000 USD per year, plus equity compensation and eligibility for performance-based bonuses. micro1 also offers a comprehensive benefits package, including up to 100% reimbursement of health insurance premiums, paid time off, a 401(k) with company match, and additional benefits.

Location

Remote (United States)

Job Summary

We are looking for an experienced GCP DevOps Engineer to design, build, and maintain scalable cloud infrastructure on Google Cloud Platform (GCP). In this role, you will leverage your expertise in cloud infrastructure, Kubernetes, CI/CD, and infrastructure automation to deliver secure, reliable, and high-performing cloud environments while collaborating closely with engineering teams.

This is a full-time opportunity for engineers who enjoy building cloud-native infrastructure, automating operational workflows, and optimizing production systems. Success in this role requires strong technical expertise, excellent communication skills, and a proactive approach to infrastructure reliability and continuous improvement.

Key Responsibilities

Design, implement, and manage scalable, secure cloud infrastructure on Google Cloud Platform (GCP).
Build, automate, and maintain CI/CD pipelines to support efficient software delivery.
Deploy, administer, and optimize Kubernetes clusters for reliability, scalability, and performance.
Collaborate with software engineering teams to improve deployment workflows and development efficiency.
Implement Infrastructure as Code (IaC) solutions using tools such as Terraform and Deployment Manager.
Monitor cloud infrastructure, proactively identify issues, and resolve operational bottlenecks.
Apply cloud security best practices, compliance controls, backup strategies, and disaster recovery processes.
Document infrastructure architectures, deployment procedures, and operational best practices for technical and non-technical stakeholders.

Required Skills and Qualifications

Strong hands-on experience designing and managing production environments on Google Cloud Platform (GCP).
Deep expertise in cloud infrastructure, automation, and DevOps best practices.
Advanced experience administering Kubernetes clusters and containerized applications.
Experience building and maintaining CI/CD pipelines.
Proficiency with Infrastructure as Code tools such as Terraform, Deployment Manager, or similar platforms.
Strong understanding of cloud monitoring, logging, automation, and troubleshooting.
Excellent written and verbal communication skills.
Strong analytical and problem-solving skills with the ability to work independently in a remote environment.

Preferred Qualifications

Google Cloud certifications such as Associate Cloud Engineer or Professional Cloud DevOps Engineer.
Experience with hybrid cloud or multi-cloud environments involving AWS and/or Azure.
Familiarity with cloud-native security practices, compliance frameworks, and governance.
Experience supporting large-scale distributed systems and cloud-native architectures.
Knowledge of observability platforms, production operations, and modern DevOps tooling.

Additional Information

This opportunity is ideal for DevOps engineers who are passionate about cloud infrastructure, automation, and modern platform engineering. You'll play a key role in building secure, scalable, and reliable cloud environments while helping engineering teams deliver software faster through best-in-class DevOps practices in a remote-first organization.

Job Type: Contract

Pay: $200,000.00 - $300,000.00 per year

Benefits:

Flexible schedule

Work Location: Remote

Apply Now

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