Cloud Engineering Jobs

Seeking an experienced AI/ML Engineer to deploy, migrate, and optimize Azure AI Services and Generative AI solutions. The role involves hands-on work with Azure OpenAI, AI Foundry, and enterprise AI integrations within cloud environments.

This role focuses on driving Azure cloud sales by identifying new business opportunities and engaging with enterprise clients. The specialist will develop and execute sales strategies to exceed revenue targets while collaborating with technical teams and Microsoft partners.

This role drives revenue growth for AWS cloud solutions by identifying new business opportunities and engaging with enterprise clients. The specialist develops and executes sales strategies, understands customer pain points, and collaborates with technical teams to deliver tailored AWS solutions.

This is a unique role where you'll apply your senior-level platform engineering and cloud infrastructure expertise to help train next-generation AI systems. Instead of building production software directly, you'll design realistic, hands-on tasks that teach AI models how to design, deploy, secure, and recover production-grade infrastructure. No AI background is required—your real-world experience with distributed systems and cloud operations is exactly what's needed.

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.

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 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 are seeking an experienced Microsoft Dynamics 365 CRM Technical Consultant to join our team on a contract basis in Kuwait City. This role involves leading technical design, development, and integration of Dynamics 365 CE and Project Operations solutions, along with ERP integrations and Azure services. If you have a strong background in C#, JavaScript, and Power Platform and are ready for an immediate onsite assignment, this is an excellent opportunity.

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 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.

As a Senior Full Stack Developer, you'll build and refine the web applications that power next-generation AI model training. Your work directly improves how AI systems learn from real-world data by creating scalable, high-performance platforms. This is a fully remote contract role offering competitive hourly pay.

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.

In this role, you'll put your C# expertise to work helping train next-generation AI systems. Your experience building reliable applications will directly shape how AI models learn and reason — no prior AI background required, just your domain knowledge.

This role sits at the intersection of cutting-edge AI and mission-critical government infrastructure. You'll design production-grade systems using LLMs, RAG, and multi-agent orchestration while contributing to micro1's internal AI platform. Your work will directly power secure, scalable machine learning solutions that move the needle for both micro1 and its government clients.

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.

Step into a role where your infrastructure expertise directly powers the training of next-generation AI systems. You'll apply your real-world knowledge — from network administration to virtualization — to provide the high-quality, real-world input that helps AI models learn and reason more effectively. No prior AI background is needed; your domain experience is the key ingredient.

This role is perfect for a seasoned backend engineer who wants to apply their Node.js and AWS expertise to shape next-generation AI systems. You'll lead the design of scalable backend services, architect microservices, and integrate AI capabilities — no prior AI experience needed, just your solid engineering background. As a remote contractor, you'll own your work and collaborate with a distributed team to build high-quality, production-grade solutions.

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.

We're looking for a Lead Data Engineer to design and optimize enterprise-grade data pipelines on Google Cloud Platform. This role centers on building scalable, real-time and batch processing solutions using Apache Beam, Dataflow, Java, and BigQuery. You'll collaborate closely with architects, analysts, and business stakeholders to ensure data quality, performance, and cost efficiency.

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.