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Senior DevOps Engineer builds and maintains secure, scalable AWS cloud infrastructure for an AI-driven retail analytics platform, using IaC, Kubernetes, and CI/CD to ensure reliability and performance at enterprise scale.
The Associate Director of DevOps Engineering will support application teams by migrating legacy deployment processes to GitHub Actions and managing CI/CD pipelines. The role involves troubleshooting infrastructure issues, implementing automation, and managing containerized environments using Kubernetes and Docker.
Staff Engineer DevOps Position Summary: We are seeking an experienced and highly skilled Senior Staff Engineer DevOps to lead the design, implementation, and optimization of cloud-native platforms, infrastructure…
Senior Engineer DevOps: Position Summary: We are seeking a highly motivated and experienced Senior DevOps Engineer with experience in cloud infrastructure, platform engineering, automation, and DevOps practices. The…
Hungry, Humble, Honest, with Heart. The Opportunity Are you a highly skilled and customer-oriented professional with strong experience in hyperconverged infrastructure, enterprise virtualization, and production…
An internship for hands-on DevOps/SRE work: building, automating, and maintaining cloud infrastructure (AWS/GCP/Azure) and CI/CD pipelines to ensure service reliability and performance.
Design, deploy, and maintain reliable, scalable cloud and Kubernetes systems for an AI-powered fintech platform, automating operations and improving observability.
Designs, builds, and operates a multi-tenant private cloud platform using OpenStack for ARM’s engineering teams, focusing on automation, APIs, and scalability.
Lead the design, development, and deployment of AI/ML-powered applications and microservices on Kubernetes, using MLOps/AIOps tools and cloud platforms to deliver scalable, production-grade solutions.
Lead a team building and operating endpoint security platforms for Mac, Windows, Linux, and virtual desktops at massive scale, using DevOps, GitOps, and full-stack development to replace manual processes with auditable, resilient pipelines.
Designs and operates enterprise-grade L3/L4 networks across data centers and cloud, automating deployments with Terraform/Ansible and enforcing zero-trust security and SLOs.
Design and build SDN control/data plane software (OVS, OVN, OpenFlow) for NVIDIA's AI Clouds, owning the full lifecycle from development through CI/CD, observability, and production operations.
Senior SRE building automation, tooling, and platforms in Go/Python to manage a global multi-datacenter infrastructure with PCI-DSS compliance and 24x7 on-call rotation.
Designs and operates cloud-native services and pipelines on AWS/Kubernetes for Guidewire’s release/environment platforms, focusing on CI/CD, observability, and reliability to support AI-driven insurtech solutions.
Design, deploy, and maintain Linux/Ubuntu infrastructure, containerized workloads, and internal platform services using AWS, Proxmox, Docker, GitLab CI/CD, and Terraform/Ansible.
Build and maintain CI/CD pipelines, infrastructure automation, and Kubernetes-based data platform operations for a large-scale enterprise data lakehouse.
Senior DevSecOps Engineer/Consultant designs secure cloud environments, embeds security into Kubernetes and cloud workflows, and automates security processes for clients using tools like Terraform, Python, and Helm.
Build and run an Internal Developer Platform (IDP) on Azure and Kubernetes, enabling AI-augmented workflows and agentic development while empowering engineering teams with self-service tools and guardrails.
This role is a senior engineering position within Deutsche Bank's eDiscovery and Archiving Technology group, responsible for designing and operating secure, scalable GCP data platforms. The engineer will build data pipelines, manage infrastructure as code, and ensure compliance with regulatory standards using technologies like BigQuery, GKE, and Terraform.
The ML Ops & LLM Ops Engineer will design and manage deployment architectures for AI solutions on AWS, focusing on CI/CD, infrastructure as code, and production-grade LLM/agentic application scaling. This role involves working as a forward-deployed engineer within enterprise client environments to ensure secure, observable, and efficient AI service delivery.
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