Cloud Ops Engineer II (Remote)

Summary

Signet Jewelers is a people-first diamond jewelry retailer operating iconic jewelry brands worldwide. The Cloud Ops Engineer II automates and supports AWS cloud infrastructure using AWS CDK, while monitoring environments, managing CI/CD pipelines, applying AI-agentic workflows, collaborating with development teams, and resolving infrastructure issues.

Responsibilities

• Automate cloud infrastructure tasks using AWS Cloud Development Kit (CDK)
• Monitor and maintain the health of cloud environments, ensuring high availability and performance
• Implement and manage CI/CD pipelines for cloud deployments using GitHub Actions
• Build and integrate basic AI-agentic workflows (e.g., agent-assisted runbooks, automated remediation, operational tooling) to reduce manual toil in cloud operations
• Collaborate with development teams to ensure cloud solutions meet business requirements
• Troubleshoot and resolve cloud infrastructure issues

Skills

• **Education:** Bachelor's degree in computer science, Information Technology, or a related field, or equivalent practical experience
• **Required or Acceptable Job-Related Experience:** Experience in cloud operations, infrastructure automation, and AWS services. Hands-on exposure to AI coding agents and basic agentic AI concepts
• **Years of Job-Related Experience Required:** 3+ years of experience in cloud operations and automation
• Proficiency in core AWS services (EC2, S3, RDS, Lambda, IAM, VPC, CloudWatch, etc.)
• Hands-on experience with AWS Cloud Development Kit (CDK)
• Strong scripting and programming skills in Python and TypeScript
• Experience with CI/CD tools, specifically GitHub Actions
• Demonstrated ability to use AI coding agents (e.g., GitHub Copilot, Claude Code, Amazon Q Developer, Cursor, or similar) in day-to-day engineering work generating, reviewing, testing, and refactoring code with appropriate human oversight
• Basic understanding of agentic AI concepts - LLM-based agents, tool/function calling, prompt design, and guardrails and how they apply to operational automation
• Familiarity with Git-based workflows and infrastructure-as-code best practices
• Excellent problem-solving and troubleshooting skills
• Strong verbal and written communication skills

Qualifications

Must Haves

• **Education:** Bachelor's degree in computer science, Information Technology, or a related field, or equivalent practical experience
• **Required or Acceptable Job-Related Experience:** Experience in cloud operations, infrastructure automation, and AWS services. Hands-on exposure to AI coding agents and basic agentic AI concepts
• **Years of Job-Related Experience Required:** 3+ years of experience in cloud operations and automation
• Proficiency in core AWS services (EC2, S3, RDS, Lambda, IAM, VPC, CloudWatch, etc.)
• Hands-on experience with AWS Cloud Development Kit (CDK)
• Strong scripting and programming skills in Python and TypeScript
• Experience with CI/CD tools, specifically GitHub Actions
• Demonstrated ability to use AI coding agents (e.g., GitHub Copilot, Claude Code, Amazon Q Developer, Cursor, or similar) in day-to-day engineering work generating, reviewing, testing, and refactoring code with appropriate human oversight
• Basic understanding of agentic AI concepts - LLM-based agents, tool/function calling, prompt design, and guardrails and how they apply to operational automation
• Familiarity with Git-based workflows and infrastructure-as-code best practices
• Excellent problem-solving and troubleshooting skills
• Strong verbal and written communication skills

Benefits

• Remote work arrangement