Software Engineer - DevOps and MLOps

Job description

# Company Overview Maven Robotics is building the world’s leading general-purpose AI robots. We are currently operating in stealth and are growing the world’s best team in AI robotics. We are looking for self-starters that are the world’s best in their field, who can innovate from a deep understanding of the fundamentals, and who share our values of unwavering truth seeking and integrity, humility, curiosity, and relentless determination. # Role Description We are looking to recruit an exceptional **Software Engineer - Software Development and Machine Learning Operations** to build and maintain the infrastructure that supports our software development, machine learning models, and AI operations. In this role you will: - Design, implement, and manage CI/CD pipelines to facilitate seamless code integration and deployment. - Monitor and optimize system performance, availability, and security. - Automate infrastructure orchestration and configuration management using tools such as Kubernetes, Ansible, and similar. - Configure and maintain data infrastructure appliances. - Troubleshoot and resolve issues related to applications, infrastructure, and deployments. - Work closely with our development and AI teams to deliver solutions that increase efficiency and stability. # Qualifications *Must-have:* - BS or MS in software engineering, computer science, or a related field. - Proven experience standing up a CI/CD system from scratch. - Experience with multi-language build systems (e.g., Bazel, Bob). - Proficiency with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). - Experience with automation tools (e.g., Terraform, Ansible, GitHub Actions, Jenkins) and version control systems (e.g., Git). - Strong programming skills in languages such as Python, Go, or Java. - Self-starter attitude with strong ability to identify problems, prioritize them, then plan and execute working solutions. - Enthusiasm for working in a fast paced startup environment and eagerness to support the team on a variety of topics. *Nice-to-have:* - Experience with MLOps platforms (e.g., MLflow, Kubeflow, or SageMaker). - Knowledge of big data technologies (e.g., Hadoop, Spark, or Kafka). - Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack). - Understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, or Scikit-Learn). - Experience with edge computing and IoT device management. - Knowledge of security best practices and compliance standards in AI/ML environments. - Proficiency in database management systems (e.g., PostgreSQL, MongoDB, or Cassandra). - Experience with infrastructure-as-code tools (e.g., CloudFormation, Pulumi). - Knowledge of GitOps practices and tools (e.g., ArgoCD, Flux).