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The Cloud Ops Engineer II is responsible for automating and supporting cloud infrastructure using the AWS Cloud Development Kit. This role involves monitoring cloud environments, managing CI/CD pipelines, and integrating AI-agentic workflows to reduce manual operational tasks.
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The Cloud Ops Engineer II is responsible for automating and supporting undifferentiated functionality across all AWS accounts using the AWS Cloud Development Kit (CDK). This role ensures the efficient operation and management of cloud infrastructure, with a focus on automation, monitoring, and maintenance in support of business objectives. The engineer leverages AI coding agents and agentic workflows to accelerate delivery of infrastructure code, pipelines, and operational tooling, while maintaining high standards for security, quality, and reliability. Performs additional duties and projects as assigned. Consistent regular scheduled attendance is considered an essential function of this job.Major Responsibilities/Essential Functions:
Position Qualifications:
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.
Technical/Other Skills Required:
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
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