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MLOps / Cloud Deployment Engineer
The MLOps/Cloud Deployment Engineer will manage the production infrastructure, CI/CD pipelines, and observability for AI and agentic systems in a regulated environment. This role focuses on cloud-native platform engineering, model governance, and performance optimization rather than model development.
AI Engineer
The AI Engineer will transform AI prototypes into scalable production systems by building training and inference pipelines. The role focuses on optimizing LLM performance and managing AI infrastructure using tools like Docker, Kubernetes, and PyTorch.
Sr Support Engineer 1 (WMS/Warehouse Management )
Blue Yonder Title: Senior Support Engineer I Other Comparable Titles: Product Specialist, Techno-Functional Architect Overview: Join our leading AI-driven Global Supply Chain Solutions Software Product Company,…
Software Engineering Manager, Traffic
We’re looking for an Engineering Manager, Traffic to join Procore’s Product & Technology organization. In this role, you’ll spearhead and scale a Cairo-based engineering team responsible for the high-performance…
Software Engineer - Devops
DevOps Engineer with Python backend experience, building scalable GCP cloud infrastructure, automating CI/CD with GitLab, managing Kubernetes/Docker containers, implementing GitOps via Argo CD, and developing backend APIs with Python/FastAPI.
Senior Manager, IT Infrastructure Department
At Thales, we know technology has the ability to make our world more secure, sustainable, and inclusive – and that it’s all driven by human intelligence. Because it takes human intelligence to build and power the…
Manager, SW Engineering- Authentication Team (Idira)
Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology…
DevOps Engineer (AI Platform and Cloud)
Designs and maintains cloud-based AI platforms, automating infrastructure, CI/CD pipelines, and MLOps workflows for scalable Generative AI deployments in enterprise environments.
Software Developer (Node.js & TypeScript)
12-month contract Node.js & TypeScript Developer building scalable backend applications, RESTful APIs, and microservices for government/public sector digital platforms in an Agile team.
Platform Engineer 4
Platform Engineer at Adobe building and operating large-scale containerized platforms across private and public clouds, with heavy focus on Kubernetes, Linux automation, and infrastructure reliability in a compliant environment.
Staff Software Engineer - .NET Full Stack
Staff Software Engineer building and owning full-stack .NET/React/Next.js solutions for CBA's Digital Home Buying Domain, leading technical direction and end-to-end delivery of home loan platforms at enterprise scale.
Principal AI Platform Engineer
Hands-on technical leadership role building and operating Arm's central AI control plane — deploying Kubernetes-based runtime platforms, automating infrastructure with IaC/GitOps, and ensuring reliability, observability and security for AI services at scale.
Senior Technical Program Manager, DGX Cloud Software - Product and Services
Leads AI software platform initiatives at NVIDIA’s DGX Cloud, managing cross-functional programs for scalable, reliable AI workloads across cloud infrastructure and system integration.
Security Engineer Engineering San Francisco
Security Engineer building secure-by-default infrastructure, identity systems, and AI/LLM security foundations for Juicebox using AWS, Terraform, and GitOps.
Senior Site Reliability Engineer
Build and maintain scalable, highly available infrastructure for Tempo’s suite of productivity tools using Kubernetes, AWS, and CI/CD pipelines while ensuring security and observability.
Senior Go Developer - Cloud-Native Microservices
Design and implement scalable microservices in Go, working with REST APIs, databases, and containerized deployments using Docker and Kubernetes in a cloud-native environment.
Golang Developer
Develops scalable backend services and APIs in Go/Java, modernizing legacy Java systems while optimizing performance and maintaining cloud-based infrastructure.