4 devops engineer jobs found

  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...

We offer you: Innovative projects with room for your ideas and individual development opportunities Flexibility through remote work and flexible working hours A culture of appreciation with flat hierarchies and direct communication Further training opportunities and certifications in our Academy Attractive benefits such as team events, modern equipment and a balanced work-life balance Work-life balance Your tasks: Development and optimization of ML and deep learning models Building and maintaining MLOps pipelines (training, deployment, monitoring) Collaboration with data scientists and software developers Use of cloud technologies (AWS, Azure, GCP) for scalable solutions Performance tuning and monitoring of models during operation Your profile: Completed studies in computer science, data science, or a related field. Excellent knowledge of Python and common ML frameworks (TensorFlow, PyTorch, Scikit-learn)...

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...

Overview As an AI & Full Stack Engineer (AI Engineering / Automation Engineering / System Architecture / Full-Stack Engineering with a focus on AI), you will work with us to develop an AI-first system that powers our entire organization like an operating system. This system consists of: the  frontend  (AI-assisted, developed with Claude Code) where our PR managers work daily the  management dashboard  with planning, capacities and performance the  customer interface  , which displays results, data and AI-generated reports an  agentic and workflow-based backend  that intelligently connects systems (Supabase, vector databases, API flows, agents, AI models) Your role System Architecture & Ownership Full responsibility for the technical system (frontend & backend) Ownership of the system architecture and further development, including workflows, data structure, interfaces, compliance...