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Manage and optimize high-density multi-GPU compute clusters, high-performance networking/storage fabrics, and IaC automation pipelines for AI/ML distributed training workloads on Linux.
Architect and maintain multi-GPU compute clusters for AI/ML workloads, covering Kubernetes/Slurm orchestration, high-performance InfiniBand/RoCE networking, parallel storage, and IaC automation with Terraform/Ansible on Linux.
AI Infrastructure Engineer managing on-site multi-GPU compute clusters, high-performance networking/storage, and IaC automation to support distributed AI/ML training workloads in Singapore.
Join Our Team Wieser Concrete Products, Inc. A family-owned and operated manufacturer of high-quality precast products throughout the entire United States as well as parts of Canada and Mexico. Since being founded in…
Design, build, and maintain scalable cloud-based data platforms on AWS/Azure for analytics, ML, and enterprise data needs, working with Snowflake, Databricks, Spark, Airflow, dbt, and Kafka.
The AI-Native Cloud FinOps Engineer will build autonomous systems and AI-driven pipelines to optimize cloud infrastructure spend across AWS, Azure, and GCP. The role focuses on managing AI/ML compute resources, implementing infrastructure-as-code, and developing self-healing automation to improve cloud efficiency.
The Senior Platform Engineer will design, build, and maintain Kubernetes-based PaaS infrastructure on AWS to support internal engineering teams. The role focuses on automating infrastructure, implementing self-service capabilities, and utilizing tools like Go, Python, and Terraform to improve developer velocity and platform reliability.
This role involves building and deploying cloud-based Generative AI applications within the Microsoft Azure ecosystem. The developer will primarily focus on backend development using Python or .NET, while occasionally contributing to React/Next.js frontend tasks.
Build and deploy cloud-native Generative AI applications on Azure using Python/.NET backend and React/Next.js frontend, focusing on LLMs, RAG, and agent-based architectures.
Staff Data Scientist/Engineer builds and deploys AI/ML systems for UKG’s workforce management platform, focusing on large-scale workforce data analysis, generative AI, and agent-based workflows to drive measurable business impact.
You’ll secure Wiz’s cloud-native products and infrastructure by leading threat modeling, vulnerability management, and detection/response, while automating security controls and partnering with engineering teams.
Senior Software Engineer building and scaling Kubbly's AI agent platform for business messaging, owning architecture, CI/CD pipelines, cloud infrastructure (AWS), and backend integrations.
The Senior DevOps/Systems Engineer will manage, automate, and support infrastructure for iGaming software, working with technologies like Kubernetes, Saltstack, and PostgreSQL. The role involves collaborating with development teams to optimize CI/CD pipelines and ensure system reliability.
DevOps Engineer building and scaling infrastructure-as-code, CI/CD pipelines, and observability for immersive entertainment experiences using AWS, Kubernetes, Pulumi (TypeScript), GitHub Actions, Docker, Helm, FluxCD, Grafana, Loki, and Prometheus.
The DevOps Platform Engineer will scale infrastructure, implement IaC, and manage CI/CD pipelines using AWS, Kubernetes, Pulumi, and GitHub Actions. The role focuses on automating deployments and maintaining system reliability for immersive entertainment experiences.
The Senior DevOps Engineer will manage infrastructure, automation, and platform engineering tasks using Azure, Linux, Docker, and IaC tools like Terraform or Pulumi. The role focuses on building high-performing systems with an automation-first approach.
This role involves working as a DevOps/Platform Engineer to drive automation, improve system reliability, and enhance delivery speed using Azure, Linux, Docker, and IaC tools.
Own release engineering, CI/CD pipelines, and infrastructure-as-code for the Asset BU, using Azure, GitHub Actions, and containers to build and deploy production applications.
This role involves building and deploying cloud-based Generative AI applications within the Microsoft Azure ecosystem. The developer will work primarily on the backend using Python or .NET, with occasional frontend tasks in React/Next.js, focusing on LLMs, RAG, and agent-based architectures.
Build and scale AWS-based infrastructure and TypeScript developer tooling (libraries, SDKs, CI/CD) to improve engineering velocity and reliability.
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