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Maintains and scales cloud-native systems in Kubernetes, automating deployments and observability with tools like Prometheus, Grafana, and Helm while hardening proxy and gateway infrastructure.
The Senior Platform Services Engineer deploys and maintains the Istari platform in customer environments, focusing on Kubernetes, infrastructure-as-code, and secure networking. This role involves direct customer interaction and cross-functional collaboration to support deployments in regulated, security-sensitive environments.
The Senior Data Engineer will design and maintain scalable data pipelines and customer-facing data products using PySpark, Airflow, and AWS technologies. The role involves working with complex SQL and geospatial data to support analytics and data enrichment across various cloud storage platforms.
Build and operate the app runtime, deployment pipeline, and managed services infrastructure for Lovable's AI-powered software creation platform, using Go, Rust, Kubernetes, Terraform, and multi-cloud (Cloudflare, GCP, AWS).
Senior DevOps Engineer designing and operating scalable AWS/Kubernetes infrastructure with CI/CD, observability, service mesh, and AIOps workflows at a travel platform.
Build and optimize the backend infrastructure for ByteDance’s Volcano Ark large-model platform, focusing on scalable, low-latency inference services and cloud-native tooling.
Designs and automates CI/CD pipelines, cloud infrastructure, and DevOps tooling to deploy and monitor applications reliably in Kubernetes and cloud environments.
À propos de QuadReal Property Group QuadReal Property Group est une société d’investissement, d’exploitation et de promotion du secteur immobilier, dont le siège social est situé à Vancouver, en Colombie-Britannique.…
Cloud DevOps Expert Engineer designing and implementing GCP networking, hybrid connectivity, and enterprise cloud solutions using Infrastructure as Code, with a focus on end-to-end ownership from architecture to production operations.
Design and build enterprise AI infrastructure components (AI Gateway, inference routing, guardrails, observability) at Barclays, using Python/Go/Java, AWS, Kubernetes, and GenAI frameworks in a hands-on platform engineering role.
Senior Cloud DevOps Engineer designing and automating enterprise-grade GCP/Azure solutions, focusing on networking, IAM, CI/CD, and security for a large bank’s cloud migration.
🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion,…
Parts Coordinator|Mi-Sher Auto Supply Aviation/Ground Support Equipment|Supporting Envoy Airlines at DFW International Airport Full-Time|2nd Shift Overview : We are seeking a highly motivated and organized Parts…
Build and improve high-throughput, globally distributed systems for Fastly’s edge cloud platform, using Go, Kubernetes, and Terraform to enhance API services and infrastructure.
Build and operate an AI platform connecting engineers to LLM providers (Anthropic, Bedrock, OpenAI) via API gateways, orchestration tooling, and governance controls using Python or Go.
Select how often (in days) to receive an alert: We are seeking an experienced Senior DevOps Engineer to join our Enterprise Platforms Engineering team. The role is responsible for designing, building and delivering…
La cuisine n’a plus aucun secret pour vous, vous voulez créer votre carte ? Bienvenue ! Créatif et gestionnaire, chaque plat qui sort en salle, sort d’abord de votre tête. Le challenge a relevé : Continuer la…
Overview Manages the activities and strategic direction of the Digital Engineering department, including indirectly managing several diverse types of Technology operations and/or support function teams. Responsible for…
Builds backend middleware APIs and integration hooks to embed AI security tools into enterprise AI pipelines, focusing on LLM security, agent workflows, and automated red-teaming.
Build and integrate a multi-tenant GenAI security platform in Python, connecting LLMs and agentic workflows to enterprise pipelines with middleware APIs, data ingestion, and security controls.
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