DevOps/SRE Engineer
Micro1 • Remote • Posted 4 days ago
Education
Any
Type
Pay Rate
$65/task
Posted
4d ago
✅ Applying through this link gives you a verified candidate referral.
Referrals from verified candidates give your profile a visibility boost and help support our platform at no cost to you.
This position is hosted on an external talent platform. Please only apply for this position if it fits your skills and interests.
About this Role
Job Summary
Join our customer's team as a DevOps/SRE Engineer, where you'll play a vital role in architecting, maintaining, and optimizing scalable cloud infrastructure. This expert-level opportunity is ideal for professionals with a passion for reliability, automation, and continuous improvement. Collaborate in a fast-paced, innovative environment that values strong written and verbal communication skills.
Key Responsibilities
Design, implement, and manage cloud-based infrastructure using AWS and Azure platforms. Develop and maintain CI/CD pipelines to automate deployments and enhance system reliability. Monitor application and infrastructure health using tools like Grafana and Sentry, ensuring proactive incident response. Handle incident management and on-call rotations utilizing PagerDuty to minimize downtime and impact. Collaborate closely with development and operations teams to troubleshoot, resolve, and document infrastructure issues. Drive automation initiatives for infrastructure provisioning, configuration management, and scaling strategies. Champion DevOps best practices and foster a culture of reliability engineering throughout the customer’s team.
Required Skills and Qualifications
3+ years of professional experience in a DevOps or SRE role supporting production environments. Deep expertise with AWS and Azure cloud platforms and related services. Proficient in monitoring and observability using Grafana, Sentry, and related tools. Solid experience with incident management tools, especially PagerDuty. Strong scripting and automation skills (e.g., Python, Bash, or similar). Proven ability to work remotely with exceptional written and verbal communication skills. Expertise in implementing and maintaining CI/CD pipelines and version control systems.
Preferred Qualifications
Experience working in highly regulated or large-scale production environments. Relevant cloud or DevOps certifications (AWS, Azure, or equivalent). Prior experience mentoring or leading technical teams in DevOps/SRE best practices.
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 STEM
Key Responsibilities
- Design, implement, and manage cloud-based infrastructure using AWS and Azure platforms.
- Develop and maintain CI/CD pipelines to automate deployments and enhance system reliability.
- Monitor application and infrastructure health using tools like Grafana and Sentry, ensuring proactive incident response.
- Handle incident management and on-call rotations utilizing PagerDuty to minimize downtime and impact.
Compensation Analysis
Work from anywhere, at any time. This fully remote position ($65/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
Explore other opportunities in related specializations:
Related Jobs
Browse All Jobs from Micro1
Discover more opportunities on Micro1 that match your skills and interests.
View All Micro1 Jobs →Community Reviews
Leave your review
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.
Is this just labeling data?
No. This is closer to academic research. You will likely be writing or verifying complex proofs, solving advanced equations, or checking the logic of a model's step-by-step reasoning. The goal is to teach AI systems to reason deeply in your field.
Do I need a PhD?
For the highest pay tiers in this category, a PhD (or current enrollment) is usually expected. However, the most important factor is your ability to pass the domain assessment. If you can solve the problems, the degree is secondary.
Is the work continuous?
Work in niche fields is often project-based. A specific "campaign" (e.g., training a model on Quantum Mechanics) might last for a few weeks. It is best to treat this as a high-paying fellowship or grant rather than a permanent daily job.
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.