3 devops jobs found in Remote

  These are the tasks you will be responsible for: Planning, building and operation of cloud-native platforms as well as deployment of microservices and containerized applications Development and optimization of CI/CD pipelines for the automated deployment of platform components Implementation of Infrastructure as Code and GitOps approaches (e.g., GitLab CI, Terraform, Crossplane, Ansible, ArgoCD) Conceptualization and execution of container builds (Docker, Buildah, Maven Jib) as well as management of artifacts (Nexus, Harbor) Monitoring, logging and alerting using Prometheus, Grafana, Instana Operation and optimization of highly available applications (PHP, Java, Node.js) Scaling and resource optimization in Kubernetes environments Implementation of application deployments via Helm charts, Kustomize or Kubernetes operators Model-based documentation of technical systems, CI/CD workflows, GitOps processes and service topologies...

Are you passionate about leading teams and delivering top-notch IT solutions for clients? As a leader with strong communication skills and a vision for a high-performance team, you will actively shape the future of our Atlassian and cloud projects as a Consulting Team Lead (m/f/d) at XALT. XALT Business Consulting GmbH is an Atlassian Platinum Solution Partner with 100% DevSecOps DNA and implements projects in areas such as ITSM, social intranets, cloud infrastructure, and identity management Team Leadership & Delivery: Professional and organizational management of the consulting team – planning the deployment of consultants in Atlassian and DevOps projects and ensuring timely, high-quality results as well as satisfied customers. Methodology & Processes: Definition and optimization of our consulting processes and best practices within the team, as well as the establishment of appropriate methods and continuous improvements. Customer escalations: Direct...

Mercor is partnering with a leading AI research lab on  Project Vesuvius , an initiative designed to evaluate and enhance the ability of large language models (LLMs) to generate structured, high-quality  research plans  for open-ended machine learning problems. We are seeking  Machine Learning Researchers and PhDs  to serve as annotators who will assess and provide structured feedback on AI-generated research plans. The goal is to improve how LLMs function as  brainstorming partners  for machine learning research. This is a  remote, short-term engagement  with flexible hours and opportunities to contribute to frontier AI evaluation and research. Key Responsibilities Evaluate and compare AI-generated research plans for clarity, feasibility, and technical soundness. Design and compile ML tasks based on real-world challenges and research competitions. Draft detailed, executable natural language...