Senior IT Cloud Engineer – AI Driven Operations & Platform Engineering
About The Position
The Senior IT Cloud Engineer helps Cloud and Systems Engineering modernize enterprise operations by transforming repetitive workflows into reliable automation, self-service capabilities, and AI-assisted operating patterns. The role works across cloud infrastructure, systems administration, identity, endpoints, networking, and end-user computing to improve reliability, speed, and engineering leverage. The engineer partners with engineering teams to determine where agentic automation, deterministic automation, or human-in-the-loop controls are appropriate for enterprise-scale operations. The role establishes standards, reusable components, and measurement practices that reduce manual requests and improve operational outcomes across the technology estate.
Requirements
- Experience designing and operating infrastructure across AWS and Azure.
- Experience with AWS services such as EC2, Lambda, RDS, S3, DynamoDB, and IAM.
- Experience using infrastructure-as-code, including Terraform or CloudFormation.
- Experience building or supporting CI/CD pipelines, such as Azure DevOps or similar platforms.
- Proficiency with Python scripting or programming.
- Ability to troubleshoot complex issues across cloud, networking, identity, APIs, and distributed systems.
- Experience with identity and endpoint management systems, including SAML, OAuth, Entra ID or Azure AD, and Intune.
- Experience designing or building AI-assisted or agentic workflows for engineering or operational use cases.
- Ability to evaluate when AI, deterministic automation, or combined approaches are appropriate for safe enterprise operations.
- Experience applying Git workflows, including branching, pull requests, and code review.
Nice To Haves
- 7+ years of experience in infrastructure, DevOps, cloud engineering, or platform engineering.
- Experience with Bash or PowerShell.
- Experience with agentic AI frameworks, LLM orchestration, or AI-driven workflow tools such as OpenAI Agents SDK, LangChain, n8n, or MCP.
- Experience with internal developer platforms, self-service tooling, or platform engineering practices.
- Familiarity with ServiceNow or similar ITSM/workflow platforms.
- Willingness and capability to leverage emerging technology, automation, and AI tools to improve efficiency, quality, and speed; sound judgment, creative thinking, and accountability for outcomes.
Responsibilities
- Redesign high-friction operational workflows using AI, automation, and platform engineering patterns to reduce manual work and improve reliability.
- Build agentic and event-driven workflows for provisioning, remediation, change execution, incident support, and support deflection, with appropriate safety controls.
- Establish standards for safe AI use in cloud operations, including observability, human-in-the-loop controls, auditability, and rollback practices.
- Design and deliver self-service infrastructure capabilities using standardized modules, golden paths, reusable components, code, APIs, and internal platforms.
- Design, operate, and troubleshoot AWS and Azure infrastructure using infrastructure-as-code, serverless, event-driven, and cloud-native architectures.
- Automate identity, access, endpoint, and end-user computing workflows across systems such as Entra ID, Intune, SAML/OAuth, Cognito, and AWS WorkSpaces.
- Influence engineering teams by introducing patterns, standards, operating model improvements, and metrics that communicate the impact of automation and AI adoption.
Benefits
- Healthcare, dental, and vision insurance for employees and eligible dependents.
- Wellness, financial, and work/lifestyle-specific benefits.
- 401(k) retirement plan with a company match of 50% up to 12% of eligible compensation.
- PTO starting at 22 days per year.
- Paid holidays.
- Volunteer time.
- Bonus target as part of the compensation package; amount is not specified.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
