Gather AI is hiring a
Senior Software Engineer, DevOps in Worldwide

Summary

Gather AI is a supply chain robotics company that has developed an Inventory as a Service platform using autonomous drones to collect inventory data in warehouses. The company is looking for a detail-oriented, self-directed person with experience in DevOps and infrastructure-as-code to launch or own technology initiatives, collaborate across teams, implement security best practices, and increase development velocity. The role requires a BS in Computer Science/Engineering or equivalent technical experience, 5+ years of internet technology work experience, and 2+ years experience with production infrastructure-as-code technologies.

Requirements

• BS in Computer Science/Engineering or equivalent technical experience
• 5+ years of internet technology work experience, as a programmer or infrastructure-as-code developer
• 2+ years experience working with production infrastructure-as-code technologies (e.g. AWS CDK, Terraform, Pulumi, etc.)
• Comfortable with cloud technologies; cloud compute, storage, monitoring, and networking
• Experience in implementing secure design principles and working within industry's compliance standards (PCI-DSS, ISO, SOC 2, GDPR, etc.)
• Strong familiarity with the GitHub ecosystem and modern CI/CD practices

Responsibilities

• Launch or own specific technology or process initiatives within our organization
• Collaborate across teams, and with our customers when the opportunity arises
• Identify and implement containerization, networking, and security best practices for our web and ML back-end applications
• Help us scale up our ML pipeline packaging by improving how we distribute the inference workload to multiple nodes
• Ensure the reliability and observability of our pipelines by introducing monitoring, metrics, and logging tools
• Increase our development velocity by leveraging containerization, infrastructure-as-code, and modern CI/CD practices
• Create tools, automation scripts and processes to manage our ML models and our datasets
• Collaborate with development and operations teams to integrate security practices into the software development lifecycle (SDLC), including code reviews, vulnerability assessments, and automated security testing

Preferred Qualifications

• Deep knowledge and experience in at least one of the major cloud compute platforms (AWS, Azure, and/or Google Cloud) - note that we are currently multi-provider (AWS, Azure)
• Experience in distributed ML inference with platforms such as AWS Sagemaker, GCP Vertex, Seldon, or Kubeflow
• Interest and experience in building complete code-to-production pipelines
• Experience configuring and managing Kubernetes clusters
• Familiarity with ML architectures and lifecycle, especially in computer vision with deep learning

Benefits

• Compensation package will include equity
• Comprehensive medical, dental, vision and life insurance
• Very flexible schedule
• Unlimited PTO and flexible scheduling