Senior Site Reliability Engineer

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology.

As a Senior Site Reliability Engineer on the Maritime Digital Shipbuilding team, you will build and operate the infrastructure that keeps our digital production systems running at full speed.

Responsibilities

• Build and Manage CI/CD Pipelines: Develop and maintain CI/CD pipelines using tools like GitHub Actions and Jfrog Artifactory to ensure seamless integration and deployment of machine learning models and applications.
• Infrastructure as Code (IaC): Utilize Terraform and Ansible to automate infrastructure provisioning and management on cloud platforms such as Azure, AWS, or Google Cloud Platform (GCP).
• Containerization and Orchestration: Implement containerization solutions with Docker and manage container orchestration using Kubernetes to ensure reliable deployment and scaling of applications.
• Model Management and Deployment: Set up and maintain model registries and feature stores (e.g., MLflow, Kubeflow), and manage deployment pipelines for both batch and real-time inference.
• Monitoring and Logging: Establish comprehensive monitoring and logging solutions using tools like ELK Stack (Elasticsearch, Logstash, Kibana), Prometheus, and Grafana to ensure the smooth operation of deployment environments.
• Collaborate with Cross-Functional Teams: Work closely with development, data science, and operations teams to foster collaboration and ensure the efficient and effective deployment of machine learning models.
• Optimize Performance: Utilize parallel computing frameworks such as CUDA and OpenCL to accelerate high-performance computing tasks, ensuring timely processing of large datasets and complex simulations.

Requirements

• Advanced proficiency in programming languages (Python for scripting and integration).
• Experience with CI/CD tools like GitHub Actions, Jfrog Artifactory, and Git.
• Proficiency with IaC tools (Terraform, Ansible).
• Experience with cloud platforms (Azure, AWS, GCP).
• Proficiency in containerization (Docker) and container orchestration (Kubernetes).
• Knowledge of model registries and feature stores (e.g., MLflow, Kubeflow).
• Experience with logging and monitoring tools (ELK Stack, Prometheus, Grafana).
• Understanding of parallel computing frameworks (CUDA, OpenCL).
• Strong collaboration skills and proficiency with collaborative tools (JIRA, Confluence).
• Eligible to obtain and maintain an active U.S. Secret security clearance.

Preferred Qualifications

• Previous experience in a manufacturing or industrial setting.
• Familiarity with observability concepts and tools.
• Knowledge of security best practices for DevOps and MLOps.

Benefits

• US Salary Range: $166,000-$220,000 USD
• Comprehensive medical, dental, and vision plans
• Income protection: life and disability insurance
• Generous time off: highly competitive PTO plans
• Family planning and parenting support
• Mental health resources
• Professional development
• Commuter benefits
• Relocation assistance
• Retirement savings plan