DEVOPS Cloud Jobs

This role focuses on designing, building, and maintaining robust cloud infrastructure on Google Cloud Platform (GCP). You'll work closely with engineering teams to deliver scalable, secure, and highly available environments, driving automation and reliability at every layer. If you're passionate about infrastructure as code and Kubernetes orchestration, this is an opportunity to shape production systems in a remote-first setting.

This role is for a .NET Engineer who will serve as a L2 Application Support specialist, bridging the gap between end-users and development teams. You'll be the go-to person for diagnosing and resolving incidents, performing thorough manual testing, and keeping product documentation crystal clear. It's a hands-on position that combines technical troubleshooting, quality assurance, and continuous improvement within a ticket-driven environment.

We're seeking a hands-on engineer to maintain and optimize our GPU-powered AI inference platform that serves large language models to internal applications. You'll own the full stack from bare-metal OS setup through production deployment, monitoring, and capacity planning to keep the infrastructure reliable and scalable. This role combines deep systems engineering with AI/ML operations, requiring a mix of automation skills and performance tuning.

Lead the design and implementation of CI/CD pipelines using Azure DevOps Services and Git-based workflows. Drive infrastructure as code (IaC) with ARM templates, Bicep, and Terraform, and manage container orchestration with AKS. This role also involves automating release processes, monitoring platform reliability, and mentoring developers in cloud-native best practices.

This role is for a Tech Lead to spearhead the architecture and development of an AI-powered omnichannel dialer platform. You will guide a talented engineering team, ensuring delivery of scalable, secure, and innovative SaaS solutions.

As a Site Reliability Engineer at micro1, you'll put your infrastructure and operations expertise to work in an unexpected context: training the next wave of AI systems. Your responsibility is to build and maintain rock-solid platforms using Linux, Kubernetes, and Prometheus — ensuring models learn from reliable, real-world data. No AI background required; your SRE skills are the foundation.

This is a contract role for a Senior Software Engineer to help train the next generation of AI systems. You'll build and maintain scalable backend applications, design robust RESTful APIs, and work across AWS, GCP, and Azure to power high-performance distributed architectures. Your contributions will directly influence how AI models learn, reason, and perform using real-world data.

As an AI Engineer at micro1, you'll play a hands-on role in shaping how next-generation AI systems learn, reason, and perform. Your domain expertise — even without a formal AI background — will be the key ingredient for training models on real-world, high-quality data. Bring your strong engineering and cloud skills, and we'll provide the platform to deploy and scale impactful machine learning solutions.

We're looking for an Embedded Linux Engineer with 2–4 years of experience to join our engineering team. You'll design, develop, and maintain Linux-based software for industrial and connected products, collaborating closely with hardware, firmware, cloud, and QA teams. This role is ideal for someone who enjoys hands-on work with system integration, debugging, and bringing products from concept to production.

This role is for an Azure DevOps Engineer who will design, build, and maintain scalable cloud infrastructure for a remote-first team. You'll own the deployment pipeline, automate operational tasks, and ensure high system reliability using Kubernetes and Docker. Clear communication and collaboration across distributed teams are essential to driving continuous improvement and delivering high-impact solutions.

This isn't your typical software engineering role—you'll apply your coding expertise to shape how next-generation AI systems learn and reason. Your day-to-day work involves building robust backend and frontend systems that provide high-quality training data for AI models. You don't need prior AI experience; your strong engineering foundation is what matters most.

This role is all about designing and managing cloud infrastructure on AWS while helping train next-generation AI systems. You'll apply your deep AWS expertise to ensure scalable, reliable, and secure environments — no prior AI experience required, just your domain knowledge. As a remote contractor, you'll work with core services like EC2, S3, RDS, IAM, and VPC, automate with Terraform or CloudFormation, and keep everything running smoothly via CloudWatch and scripting in Bash and Python.

This is a full-time, remote new-grad role for software engineers who want to dive into building real, customer-facing product features from day one. You'll work on improving Zara, an AI-powered recruiter, and gradually take full ownership of core parts of the system—all while receiving mentorship from senior engineers. The environment is fast-paced and focused on shipping quality code, so you'll be encouraged to make smart speed-versus-quality tradeoffs as you grow.

This role blends technical support with AI training — you'll use your cloud and networking expertise to resolve complex issues while contributing domain knowledge to improve AI systems. You'll work autonomously in a remote environment, tackling problems across scripting, cloud platforms, and TCP/IP networking.

This remote contractor role offers a chance to apply your DevOps expertise to a unique mission: training next-generation AI systems. You'll design and manage the cloud infrastructure and pipelines that enable AI models to learn and improve, using your existing skills rather than requiring prior AI experience.

This DevOps Engineer role is your opportunity to apply your cloud infrastructure expertise to directly influence how next-generation AI systems learn and perform. You'll design and automate scalable environments using AWS and Kubernetes, ensuring reliability and efficiency for model training workflows. No prior AI experience is needed—your proven DevOps skills are what matter most.

This remote contract role blends DevOps engineering with a unique mission — helping train next-generation AI systems. You'll use your infrastructure expertise to build resilient, scalable cloud environments that power AI learning. No prior AI experience is needed; what matters is your ability to design and manage complex systems across AWS, Azure, and GCP.

We're looking for an experienced Infrastructure Engineer to build and manage the cloud and on-prem systems that power the next wave of AI model training. In this contract role, you'll apply your deep technical know-how to help shape how AI learns and performs—no prior AI experience required, just your expertise in infrastructure.

This contract role centers on building and refining production-grade machine learning systems. You'll design models, automate pipelines, and deploy scalable AI solutions using cloud and container technologies. Your real-world expertise is valued — even if you haven't worked specifically in AI before.

This is an ongoing talent pool for skilled DevOps and Platform Engineers who want to contribute to cutting-edge AI projects on a flexible, contract basis. Instead of applying for a single role, you submit your profile once and become eligible for future opportunities that match your expertise. The work involves helping to train and refine AI models by completing real-world tasks in your domain, with typical weekly commitments of 15–30 hours.

This role is all about bridging development and operations to ensure smooth, reliable system delivery. As a Cloud DevOps Engineer, you'll design and maintain scalable infrastructure, automate deployment workflows, and optimize system performance—all while collaborating with development teams and stakeholders. Your work directly impacts users by ensuring high availability, fast feature releases, and a stable, secure environment.