Senior DevOps Engineer
Micro1 • Remote • Posted 4 days ago
Education
Any
Type
Pay Rate
$45/task
Posted
4d ago
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About this Role
Location: Remote
Job Summary: As a Senior DevOps Engineer, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Key Responsibilities
Design, implement, and maintain scalable infrastructure solutions using Kubernetes across AWS and GCP environments. Develop, manage, and optimize CI/CD pipelines to ensure seamless integration and continuous delivery for diverse applications. Automate infrastructure management, monitoring, and deployments with Python and DevOps best practices. Collaborate closely with cross-functional teams to support robust cloud-native architectures and application reliability. Monitor system performance, troubleshoot issues, and implement proactive solutions for optimization and security. Document processes, architectures, and solutions clearly for technical and non-technical audiences. Champion a culture of transparent communication and knowledge sharing within the customer's team.
Required Skills and Qualifications
Expertise in Kubernetes orchestration and management of containerized applications. Hands-on experience with both AWS and GCP cloud platforms. Proven ability to develop automation scripts and tools using Python. Deep understanding of infrastructure-as-code, CI/CD pipelines, and DevOps principles. Excellent written and verbal communication skills and a collaborative mindset. Experience with monitoring, logging, and proactive system management. Strong problem-solving abilities in complex, distributed cloud environments.
Preferred Qualifications
Certifications related to Kubernetes, AWS, or GCP. Prior work in AI/ML infrastructure or data-intensive environments. Familiarity with additional programming languages or automation frameworks.
Requirements
- Must be eligible to work in Remote
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
- Bachelor's degree or equivalent professional experience
- Demonstrated expertise in Software Engineering
Key Responsibilities
- Design, implement, and maintain scalable infrastructure solutions using Kubernetes across AWS and GCP environments.
- Develop, manage, and optimize CI/CD pipelines to ensure seamless integration and continuous delivery for diverse applications.
- Automate infrastructure management, monitoring, and deployments with Python and DevOps best practices.
- Collaborate closely with cross-functional teams to support robust cloud-native architectures and application reliability.
Compensation Analysis
Work from anywhere, at any time. This fully remote position ($45/hr) breaks down geographic barriers, allowing you to earn US-competitive rates regardless of your local market. It is a perfect stepping stone for building a career in the data labeling and AI training ecosystem.
Skills & Categories
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Frequently Asked Questions
How is this different from the others?
Global Access. Micro1 is more open to international applicants (outside the US/UK) than DataAnnotation or Outlier.
What is the catch?
Privacy. Micro1 projects often require you to install time-tracking software that takes screenshots of your desktop while you work to ensure you are actually working. If you are uncomfortable with monitoring software, this might not be for you.
What does the work actually look like?
It is practical, hands-on data work. You might be recording short videos, categorizing images, rating text responses, or analyzing data. The tasks are designed to be short and distinct—typically 5-60 minutes per task.
How flexible is the schedule?
Extremely. This is true "log in and work" flexibility. You can usually work for 20 minutes or 4 hours depending on your availability. There are rarely minimum hour requirements, making it ideal for side income.
Is there an interview?
Usually, no. Hiring for these roles is almost entirely based on passing an automated assessment or "qualification" task. If you pass the test, you get access to the work.
What is the interview like?
You will likely be screened by "Zara", an AI recruiter. Treat this like a real video interview—speak clearly, ensure you have good lighting, and be ready to answer technical questions verbally, as the transcript is reviewed by human managers.