Software Engineer - DevOps and MLOps at Maven Robotics - ScoutJobs - The AI-curated global job board
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Posted 18 hours ago

Software Engineer - DevOps and MLOps

Maven RoboticsSan Francisco Bay Area, California USA

Requirements

BS or MS in CS or related field, Experience building CI/CD systems from scratch, Proficiency in Python, Go, or Java, Experience with Kubernetes and Docker, Experience with cloud platforms (AWS, Azure, GCP)

Skills

DevOpsMLOpsKubernetesPythonAWS

About the role

About the Company

Maven Robotics is building the world’s leading general-purpose AI robots. Currently operating in stealth, the company is growing a world-class team in AI robotics focused on innovation, integrity, and relentless determination.

Responsibilities

  • Design, implement, and manage CI/CD pipelines for seamless code integration and deployment
  • Monitor and optimize system performance, availability, and security
  • Automate infrastructure orchestration and configuration management using Kubernetes and Ansible
  • Configure and maintain data infrastructure appliances
  • Troubleshoot and resolve issues related to applications, infrastructure, and deployments
  • Partner with development and AI teams to increase efficiency and stability

Requirements

  • BS or MS in software engineering, computer science, or a related field
  • Proven experience building CI/CD systems from scratch
  • Experience with multi-language build systems like Bazel or Bob
  • Proficiency with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes)
  • Experience with automation tools (Terraform, Ansible, GitHub Actions, or Jenkins) and Git
  • Strong programming skills in Python, Go, or Java
  • Self-starter attitude with ability to prioritize and execute solutions in a fast-paced startup environment

Preferred Qualifications

  • Experience with MLOps platforms such as MLflow, Kubeflow, or SageMaker
  • Knowledge of big data technologies like Hadoop, Spark, or Kafka
  • Experience with monitoring tools like Prometheus, Grafana, or ELK stack
  • Understanding of machine learning frameworks like TensorFlow, PyTorch, or Scikit-Learn
  • Experience with edge computing and IoT device management
  • Knowledge of security best practices in AI/ML environments
  • Proficiency in database management (PostgreSQL, MongoDB, or Cassandra)
  • Experience with infrastructure-as-code (CloudFormation, Pulumi) and GitOps (ArgoCD, Flux)
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Software Engineer - DevOps and MLOps

Maven Robotics · San Francisco

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