Remote Devops Jobs · AWS

• Design automation solutions using the latest technologies.
• Collaborate with staff to gather requirements and promote DevOps practices.
• Support, automate, and manage a large AWS estate.

• Lead end-to-end planning and execution of data center migration to AWS.
• Drive modernization initiatives including containerization and automation improvements.
• Serve as the primary point of contact between engineering teams, leadership, and client stakeholders.

• 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.

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

Focus on improving platform resilience by working with platform and product engineering teams. Improve platform abstractions and tooling to make it easier for engineers to build resilient systems. Provide technical leadership around resiliency across Monzo, partnering with the Engineering Director for Platform and other ICs.

Design, develop, and maintain DevSecOps and CI/CD pipelines for subsystems and small systems. Select and implement tools, technologies, and methodologies to support automated build, deployment, operation, and monitoring. Collaborate with cross-functional teams to identify and remove impediments, improving system delivery speed and reliability.

• 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.

• Define and drive technical strategy for infrastructure, security, and adoption of modern DevOps methodologies.
• Lead architectural design and evolution of Kubernetes platforms to ensure scalability, reliability, and usability.
• Collaborate with development teams to optimize CI/CD pipelines and streamline software delivery processes.

• 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.