Senior Cloud & AI Engineer
Tasks
- Automate identity and access workflows
- Build agentic and event driven workflows for provisioning and remediation
- Build serverless and event driven cloud native architectures
- Design and build self service infrastructure with reusable components
- Design and operate AWS and Azure infrastructure with infrastructure as code
- Enable infrastructure provisioning and management through code and APIs
- Establish standards for safe AI use with observability and rollback
- Identify high friction workflows and redesign with AI and automation
- Implement AI assisted incident detection classification and remediation
- Improve operational processes to increase engineering leverage
- Influence teams with new patterns standards and ways of working
- Measure and communicate impact of automation and AI adoption
- Troubleshoot issues across cloud networking identity and distributed systems
Perks/Benefits
- 401k match
- Dental insurance
- Healthcare insurance
- PTO
- Paid Holidays
- Vision insurance
- Volunteer time
- Wellness benefits
- Work-life balance benefits
Skills/Tech-stack
AI Automation | APIs | AWS | Agentic Workflows | Azure | Azure DevOps | Bash | CI/CD | Cause analysis | Cloud Native | Cloud Native Architecture | CloudFormation | Cognito | DNS | Distributed Systems | DynamoDB | EC2 | Entra ID | Event Driven | Event-driven architecture | Git | Human-in-the-loop | IAM | ITSM | Incident Detection | Infrastructure as Code | Lambda | OAuth | Observability | Powershell | Python | RDS | Root Cause Analysis | Root cause | Routing | S3 | SAML | Scripting | Security | Serverless | ServiceNow | Terraform | The Loop | “as-code”
Education
N/A
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