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Build and maintain Python-based infrastructure for deep learning experiments, including cloud resources, databases, and visualization tools on Azure.
Build and maintain the Python-based infrastructure for running deep learning experiments on Azure, including databases, Kubernetes, and visualization tools.
Builds and integrates AI-powered back-end systems for enterprise clients, focusing on AWS-hosted APIs, mobile apps, and event-driven architectures.
Principal engineer designing and shipping production-grade multi-agent AI systems on AWS, leading architecture across cloud, data, and AI/ML while mentoring teams and setting technical direction.
Lead end-to-end architecture for cloud, data, and AI systems, designing scalable, secure solutions and mentoring teams to ship production-ready AI in 30–45 days.
Lead the design of cloud, data, and AI systems for enterprise clients, setting technical direction and mentoring teams to ship production-ready AI in 30–45 days.
Deploys and maintains GenAI agents in client cloud environments (Azure/AWS), focusing on containerized model-serving APIs, CI/CD pipelines, and observability. Works cross-functionally with data scientists to ship production-grade AI systems for enterprise clients.
Senior Data Engineer — Microsoft Fabric & Databricks XCentium — India (Remote) This is a Full-Time Remote position with a flexible work environment and great benefits! Apply today! About Us XCentium is an…
Dubizzle Labs seeks a Senior DevOps Engineer to keep services healthy, monitored, automated, and scalable. You will partner with development teams from design through production, focusing on automation, availability,…
As a Senior DevOps Engineers at Dubizzle labs, you will ensure our services are healthy, monitored, automated, and designed to scale. You'll use your background as an operations generalist to work closely with our…
We’re looking for a Data Engineer to join our team, building and scaling modern cloud data platforms for some of Aotearoa’s top enterprise clients. If you love clean code, smart architectures and turning raw data into…
Hands-on DevOps Team Lead at proteanTecs, a startup bringing health monitoring to chips/electronics, based in Tel Aviv. You lead and mentor a team of DevOps engineers while staying technical — building CI/CD (GitHub Actions, ArgoCD), Kubernetes/Terraform infrastructure, and observability across AWS/Azure/GCP.
This is a remote position. Position Summary Allied Steel Buildings designs and manufactures pre-engineered steel buildings for customers worldwide. Behind our online building configurator sits the Allied Master…
About Redwood Materials Redwood is localizing a global battery supply chain that seamlessly integrates recovery, reuse, and recycling — keeping critical minerals in circulation and driving the energy transition.…
NVIDIA is a world leader in Artificial Intelligence, High-Performance Computing, and Visualization. Our invention, the GPU, has transformed modern computing and is at the heart of our products and services. We set the…
QA-first engineer who owns end-to-end quality of Atera's WordPress-based marketing website: writing test plans, doing manual testing, and building automated regression/functional/E2E suites with tools like Playwright, BrowserStack, and AI-assisted automation, plus pre-release performance, SEO, and cross-browser/device checks.
Company Overview Our company is seeking a highly skilled and experienced Senior DevOps Engineer to join our dynamic technology team. We are looking for a strategic technology professional who can drive our cloud…
Staff DevOps Developer builds and maintains the cloud infrastructure, AI integration layer, and RAG retrieval services that power Visier's Workforce Intelligence platform, using Python, Terraform, AWS/Azure, and MCP servers.
Senior engineer at Babylist solving ambiguous, high-impact problems across a Rails monolith, AI tools, and family-focused products like registries and financial services.
Staff Site Reliability Engineer at Babylist responsible for designing, operating, and scaling AWS infrastructure, Kubernetes clusters, and CI/CD systems to support millions of users and evolving product surfaces.
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