Software Engineer - DevOps and MLOps

{
  "content_hash": "716c328208abf79ebfbabe436a15619dc57e9dd6dd1bb9a5e455184317846192",
  "source_hash": "906aea9a78a41802fd5732d124100c59708ee0b647b08c63d407cd8af0756096",
  "last_changed_at": "2026-05-29T23:02:07.074Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "San Francisco Bay Area, California USA",
    "city": "San Francisco Bay Area",
    "region": "CA",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.95
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T07:34:42.883Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "San Francisco Bay Area, California USA",
      "city": "San Francisco Bay Area",
      "region": "CA",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.95
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": null,
  "salary_period": null,
  "workplace_type": null,
  "salary_currency": null
}

{}

{
  "title": "Software Engineer - DevOps and MLOps",
  "offices": [
    {
      "id": 4018843008,
      "name": "San Francisco Bay Area",
      "location": "California, United States",
      "child_ids": [],
      "parent_id": null
    }
  ],
  "language": "en",
  "location": {
    "name": "San Francisco Bay Area, California USA"
  },
  "metadata": [
    {
      "id": 5126918008,
      "name": "Employment Type",
      "value": "Full-time",
      "value_type": "single_select"
    },
    {
      "id": 5135660008,
      "name": "Work Arrangement",
      "value": "On-site",
      "value_type": "single_select"
    },
    {
      "id": 5135947008,
      "name": "Team",
      "value": "Developer and machine learning operations",
      "value_type": "single_select"
    },
    {
      "id": 5138520008,
      "name": "Job Exemptions",
      "value": "Exempt",
      "value_type": "single_select"
    },
    {
      "id": 5147369008,
      "name": "Salary Range",
      "value": {
        "unit": null,
        "max_value": "0.0",
        "min_value": "0.0"
      },
      "value_type": "currency_range"
    },
    {
      "id": 5149277008,
      "name": "Job Description",
      "value": "We are looking to recruit an exceptional Software Engineer - Development and Machine Learning Operations to build and maintain the infrastructure that supports our software development, machine learning models, and AI operations.\n\nIn this role you will:\n- Design, implement, and continually improve our CI/CD pipelines to facilitate seamless code integration and deployment.\n- Help define and prioritize infrastructure initiatives that will help with scaling. \n- Automate infrastructure orchestration and configuration management using tools such as Kubernetes, Terraform, Crossplane, Ansible, and similar.\n- Monitor and optimize system performance, availability, and security.\n- Configure and maintain data infrastructure appliances.\n- Troubleshoot and resolve issues related to applications, infrastructure, and deployments.\n- Work closely with our development and AI teams to deliver solutions that increase efficiency and stability, while optimizing for cost.",
      "value_type": "long_text"
    },
    {
      "id": 5187056008,
      "name": "Job Description Summary",
      "value": "Build and maintain the infrastructure that support our software development, machine learning and AI operations",
      "value_type": "short_text"
    },
    {
      "id": 5149278008,
      "name": "Job Qualifications",
      "value": "Must-have:\n- BS or MS in software engineering, computer science, or a related field.\n- Proven experience working with Kubernetes and distributed backend services.\n- Deep experience managing self-hosted CI/CD systems and driving best practices around build and release workflows.\n- Experience with multi-language build systems (e.g., Bazel, Bob).\n- Proficiency with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).\n- Experience with automation tools (e.g., Terraform, Crossplane, Ansible, GitHub Actions, Jenkins) and version control systems (e.g., Git).\n- Strong programming skills in languages such as Python, Go, or Java.\n- Self-starter attitude with strong ability to identify problems, prioritize them, then plan and execute working solutions.\n- Enthusiasm for working in a fast paced startup environment and eagerness to support the team on a variety of topics.\n\nNice-to-have:\n- Experience with MLOps platforms (e.g., Ray, ZenML, MLflow, Kubeflow, Databricks, Vertex AI or SageMaker).\n- Knowledgeable with distributed data systems and streaming platforms such as NATS or Kafka.\n- Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack).\n- Understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, or Scikit-learn).\n- Experience with edge computing and IoT device management.\n- Knowledge of security best practices and compliance standards in AI/ML environments.\n- Proficiency in database management systems (e.g., PostgreSQL, MongoDB, or Cassandra).\n- Experience with infrastructure-as-code tools (e.g., Terraform, Crossplane, Pulumi).\n- Knowledge of GitOps practices and tools (e.g., Argo CD, Flux).",
      "value_type": "long_text"
    }
  ],
  "updated_at": "2026-02-02T13:28:20-05:00",
  "departments": [
    {
      "id": 4023610008,
      "name": "Engineering",
      "child_ids": [],
      "parent_id": null
    }
  ],
  "company_name": "Maven Robotics",
  "requisition_id": 4218628008,
  "first_published": "2025-04-16T18:41:16-04:00",
  "application_deadline": null
}