Remote Devops Jobs · Python

• Design, implement, and maintain CI/CD pipelines for robotics and AI/ML software.
• Deploy and manage cloud infrastructure (AWS, etc) for data processing, training, and simulation.
• Administer and optimize Linux-based systems used in development and testing labs.

• Design, build, and optimize automation workflows and integrations.
• Create AI-powered tools to make operations faster and smarter.
• Solve complex problems and connect systems across teams.

• Design, implement, and maintain robust build and deployment systems.
• Automate processes and manage software installations.
• Ensure the reliability of build pipelines.

• Shape architecture for key AI projects.
• Provide architectural advice to customers.
• Refine the architectural side of machine learning products.

• Lead the design, development, and deployment of enterprise-grade AI and ML platforms.
• Create scalable, compliant, and high-performance AI/ML systems.
• Set engineering standards, mentor teams, and drive adoption of cutting-edge AI techniques.

Ensure software engineers can work efficiently and cost-effectively. Guarantee that our customers' data remains safe and secure. Maintain high availability, security, and performance of our production systems and data pipelines.

• Design, develop, and optimize scalable cloud-native solutions using AWS services.
• Build and maintain serverless workflows with Lambda, Step Functions, and related services.
• Implement and manage CI/CD pipelines and Infrastructure as Code using CloudFormation or Terraform.

• Build and enhance ML frameworks that support end-to-end ML development and deployment.
• Develop cloud tooling using Terraform, AWS Managed Services, EKS, and Ray to enable scalable ML operations.
• Design and build dashboards and visualization tools for monitoring and analysis.

• Design and develop infrastructure solutions tailored for AI-focused platforms, ensuring seamless integration with cloud environments.
• Build backend services and APIs with high performance, security, and scalability in mind.
• Manage and orchestrate workloads across multiple cloud providers to optimize reliability and flexibility.

Strengthen and expand SmartRecruiters' infrastructure team. Improve, automate, and grow the cloud platform. Respond to client threats and remediate issues.