DEVOPS Cloud Jobs

Responsible for architecting and implementing enterprise-scale cloud automation solutions across AWS, Azure, and VMware environments. Design automated infrastructure provisioning, configuration management, CI/CD pipelines, and observability-driven self-healing systems. Ensure compliance with security standards and integrate with ITSM workflows.

As a C# Developer at micro1, you will apply your software engineering expertise to train next-generation AI systems by providing high-quality real-world code examples. You will design, develop, and maintain robust C# applications, collaborate with a distributed team, participate in code reviews, and contribute to technical discussions. This fully remote contract role emphasizes your domain knowledge over prior AI experience.

This DevOps Engineer role focuses on architecting, implementing, and optimizing scalable infrastructure solutions across dynamic cloud environments. The engineer will drive production reliability, automation, and security for high-traffic systems, while mentoring new hires and fostering a culture of technical excellence. The position is remote, full-time, and requires deep expertise in AWS, Kubernetes, and Docker.

This role involves applying systems and infrastructure expertise to help train next-generation AI models. You will navigate, troubleshoot, and recover dynamic infrastructure using command-line tools, manage highly containerized environments, and collaborate with engineering teams to ensure reliability and performance. The position is fully remote and contractor-based.

This DevOps Engineer will apply expertise to help train next-generation AI systems by designing, implementing, and managing scalable cloud infrastructure. The role involves automating deployment pipelines, monitoring systems, and ensuring security best practices. No prior AI experience is required—domain knowledge in DevOps is what matters.

This Site Reliability Engineer role involves applying domain expertise to help train next-generation AI systems by designing and maintaining scalable infrastructure. The engineer will monitor system health, automate operations, respond to incidents, and collaborate with development teams to ensure high availability. No prior AI experience is required—only deep knowledge of Linux, Kubernetes, and Prometheus.

This is an early-career fullstack role for recent graduates to contribute to and gradually take ownership of core product features for Zara, an AI Recruiter agent. The role involves building backend services and APIs, developing user-facing features, and supporting data modeling while being mentored by experienced engineers. The position is remote but requires overlap with PST timezone and offers a comprehensive compensation and benefits package.

This Site Reliability Engineer role involves deploying, monitoring, and recovering containerized AI training environments. You will use advanced terminal techniques to manage infrastructure, automate tasks, and ensure system stability. The work directly supports training next-generation AI systems, leveraging your domain expertise rather than prior AI experience.

In this role, you'll apply your expertise to help train next-generation AI systems by designing, deploying, and managing scalable cloud and on-premises infrastructure. You will monitor performance, automate processes, and ensure security and compliance. No prior AI experience is needed—your infrastructure domain knowledge is what matters.

This role involves applying AWS expertise to train next-generation AI systems by providing high-quality, real-world input. The engineer will design, deploy, and manage AWS infrastructure, automate operations using IaC tools, and ensure security and compliance. No prior AI experience is required—domain knowledge in AWS is key.

This role applies DevOps expertise to help train next-generation AI systems by designing, deploying, and managing resilient infrastructure across cloud providers. You will implement CI/CD pipelines, containerize applications, automate provisioning, and monitor system health—all while working remotely. No prior AI experience is needed; your domain knowledge in DevOps is what matters.

This Solutions Architect role involves applying deep technical expertise to help train next-generation AI systems by architecting and implementing scalable microservices-based solutions on AWS. The position requires collaborating with engineering and product teams, designing infrastructure with Docker and Kubernetes, and ensuring solutions meet performance and reliability standards. No prior AI experience is needed—domain knowledge in cloud architecture is paramount.

This Support Engineer role focuses on providing technical support for cloud infrastructure and networking, while also leveraging domain expertise to help train next-generation AI systems. The position involves diagnosing and resolving complex issues, automating tasks with scripting, and using JIRA for tracking. It is a remote contractor position requiring strong communication and autonomous work.

This role involves applying system administration expertise to help train next-generation AI systems. You will administer and maintain Linux and Windows server environments, manage configurations, enforce security policies, troubleshoot issues, and monitor performance. Your work provides high-quality, real-world input to shape how AI models learn and reason.

This role involves supporting production infrastructure including servers, containers, storage, and networks, while also contributing to the training of next-generation AI systems by providing real-world operational input. Responsibilities include monitoring, troubleshooting, incident response, managing CI/CD pipelines with Jenkins and Kubernetes, and collaborating with DevOps teams. The position is remote, contract-based, and requires strong Linux and cloud platform expertise.

This role is for an IT Operations Manager at micro1, responsible for leading IT systems, access, security, and user support in a fast-growing remote organization. The manager will build a scalable and secure IT environment by owning identity management, endpoint security, hardware lifecycle, and automation of user processes. They will also oversee enterprise software management, vendor relationships, and collaborate with multiple teams to ensure compliance and efficiency.

This Senior DevOps Engineer role focuses on applying DevOps expertise to help train next-generation AI systems. You will design and maintain scalable infrastructure using Kubernetes on AWS and GCP, develop CI/CD pipelines, automate deployments with Python, and collaborate with cross-functional teams to ensure robust cloud-native architectures.

In this role, you'll apply your expertise to help train next-generation AI systems. You will design, develop, and maintain scalable software applications and backend systems, build and optimize RESTful APIs, and collaborate across teams to deliver cloud-native solutions. The role involves contributing to architectural decisions and supporting DevOps initiatives in a remote-first environment.

As a Cloud Architect, you will apply your cloud infrastructure expertise to help train next-generation AI systems by providing high-quality, real-world input. You will review and assess cloud designs, create documentation, enhance Kubernetes orchestration, and develop automation scripts. Your work will improve AI learning and reasoning through practical scenarios.

This role involves applying software engineering expertise to help train next-generation AI systems by designing, implementing, and optimizing backend and frontend systems using Java, JavaScript, and Python. You will develop RESTful APIs, manage SQL databases, and champion clean code practices, unit testing, and CI/CD workflows while working in Agile teams. No prior AI experience is required; your domain knowledge is key.