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Builds and operates the core AI governance platform at a major bank, including policy engines, identity fabrics, observability, and guardrails for AI workloads across AWS/Azure, ensuring compliance and scalability for enterprise AI use cases.
The application window is expected to close on: 09/23/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . Meet the Team Splunk, a Cisco company, is…
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.
Обязанности: Чем предстоит заниматься: Поддержка, мониторинг и развитие ИТ-инфраструктуры Автоматизация развертывания и сопровождение CI/CD-процессов Поиск и устранение технических проблем, установка обновлений и…
At Verisk Ignite , we build innovative technology solutions that help our customers make better decisions through data, analytics, and software. We are looking for a highly experienced Senior Back-End Software Engineer…
Why Join GEICO? At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there…
SAIC is seeking a Principal Cloud & DevSecOps Engineer in Colorado Springs, CO to support advanced cloud deployments into C2E (Commercial Cloud Enterprise) AWS environments. As part of this role, you will work on…
Company Overview Trianz is an applied AI solutions company that accelerates customer business transformation through AI powered "Transformation Services as a Software Model". With 25+ years of transforming…
Job Title GCP AIOps Cloud Engineer Location Bangalore / India (Hybrid/Onsite as applicable) Experience Mandatory Skills • 3 to 7 years of hands-on experience with Google Cloud Platform (GCP). Role Summary We are…
Senior DevOps Platform Engineer designing and operating large-scale Kubernetes platforms across Azure and GCP, using Terraform for IaC, building CI/CD pipelines, and implementing observability and security best practices in an international tech hub.
Designs and operates enterprise-grade cloud-native platforms on Azure/GCP/Kubernetes, focusing on automation, scalability, and developer enablement while driving DevOps best practices and mentoring teams.
Freelance/B2B DevOps Engineer focused on evolving a hybrid Kubernetes platform (on-premise + AWS/Azure), implementing GitOps with ArgoCD, and applying AI automation tools to infrastructure and development workflows.
Designs and builds storage control-plane software (Go) for GPU-accelerated AI platforms, integrating enterprise storage into Kubernetes environments with focus on performance, observability, and hybrid/air-gapped deployments.
Lead the architecture and management of an enterprise-scale data platform using Databricks, AWS, dbt, Terraform, and Python. Drive cloud-native platform engineering, automation, and SRE practices for asset and wealth management workloads.
Sanctuary AI - a multi award-winning LinkedIn Top Startup company - is looking to hire a Machine Learning (ML) Operations Engineer. Reporting to the Data Collection Team Lead, you’ll gain a comprehensive understanding…
About the Role We are looking for an experienced Database Administrator to help migrate and modernize our PostgreSQL and MySQL database environments, including onto Kubernetes. You will plan and execute database…
The Full-Stack Software Engineer will build and maintain end-to-end music industry products, working across the full lifecycle from API design to frontend implementation and deployment. The role requires strong backend skills in Go or similar languages, proficiency in modern JavaScript frameworks like Vue, and experience with cloud-native infrastructure.
The Senior DevSecOps Engineer will build and maintain reliable, scalable infrastructure for AI/ML healthcare products using Kubernetes, GCP, and Terraform. This hybrid role requires expertise in CI/CD, security automation, and cloud operations to support high-availability services.
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