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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cloud & DevOps Engineer (ML Infrastructure) - **Company:** Tanisha Systems Inc - **Location:** Austin, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Cloud Computing Security, Computer Programming, Computer Networks, Continuous Integration, Linux, DevOps, Distributed Data Store, Distributed Systems, Github, Monitoring of Systems, Identity and Access Management, Key Management, Linux Kernel, Machine Learning, Enterprise Messaging Systems, Reliability Engineering, Prometheus, Software Engineering, Data Streaming, AI Infrastructure, Google Cloud, Cloud Platform System, System Availability, Delivery Pipeline, Grafana, Apache Spark, Skills Cloud, Containerization, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Apache Flink, Apache Kafka, Machine Learning Operations, Video Streaming, Terraform, Docker, Jenkins - **Published:** August 14, 2026 - **Apply:** https://www.dice.com/job-detail/c8a9fd16-9ba3-4b0b-9b14-8a47598c9e87 ## About the Role Bachelor's degree in computer science, Engineering, or a related technical field. 5-7 years of experience in Software Engineering, Platform Engineering, SRE, or DevOps roles. 3-4 years of hands-on experience with AWS or other cloud platforms (Azure/Google Cloud Platform). 3-4 years of experience deploying and operating Kubernetes in production environments. Strong programming experience in Go and/or Java. Deep understanding of Linux internals, system administration, troubleshooting, and networking concepts. Experience with cloud IAM, security best practices, secrets management, and access control. Hands-on experience with at least one big data technology such as Apache Spark, Apache Flink, and messaging platforms like Apache Kafka. Experience with containerization technologies such as Docker. Strong understanding of CI/CD pipelines, automation, and Infrastructure as Code. Preferred Qualifications Exposure to Machine Learning platforms, MLOps, or AI infrastructure. Experience with Terraform, Helm, ArgoCD, GitHub Actions, or Jenkins. Knowledge of monitoring and observability tools such as Prometheus, Grafana, ELK, or OpenTelemetry. Experience supporting large-scale distributed systems in production. Cloud certifications (AWS, Kubernetes, or equivalent) are a plus. Key Skills Cloud: AWS, Azure, Google Cloud Platform Containers & Orchestration: Kubernetes, Docker, Helm Languages: Go, Java Operating Systems: Linux Administration & Internals Data & Streaming: Kafka, Spark, Flink Security: IAM, Cloud Security, Secrets Management DevOps: CI/CD, IaC, Automation, Monitoring ML Exposure: MLOps, Model Deployment, ML Infrastructure ## Description We are seeking a highly skilled Senior Cloud & DevOps Engineer to design, build, and operate scalable cloud-native platforms that support modern data, machine learning, and application workloads. The ideal candidate will have strong expertise in Kubernetes, cloud infrastructure, Linux systems, and distributed data platforms, along with hands-on experience building secure and reliable CI/CD and platform automation solutions., Design, deploy, and manage cloud-native infrastructure on AWS or other public cloud platforms. Build and maintain Kubernetes-based platforms for scalable application and ML workload deployments. Develop infrastructure automation and operational tooling using Go or Java. Administer and troubleshoot Linux systems, networking, and distributed environments. Implement and manage cloud security controls, IAM policies, and platform governance. Support machine learning teams by enabling scalable ML infrastructure and deployment pipelines. Deploy and operate big data and streaming technologies such as Kafka, Spark, and Flink. Build and enhance CI/CD pipelines, Infrastructure-as-Code (IaC), and platform observability solutions. Monitor platform reliability, performance, security, and cost optimization. Collaborate with engineering, data, and ML teams to improve developer productivity and operational excellence. ## Related Videos - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [7 Most Popular Web Developer Jobs in Europe](https://www.wearedevelopers.com/magazine/163-7-most-popular-web-developer-jobs-in-europe) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)