Senior Cloud & AI Engineer
Tasks
- Automate identity and access workflows
- Build AI assisted incident detection and remediation
- Build serverless and event driven architectures
- Design agentic and event driven workflows
- Design and operate AWS and Azure infrastructure
- Design self service infrastructure capabilities
- Enable infrastructure provisioning through code and APIs
- Ensure safe AI use with auditability and rollback
- Identify operational workflows for automation
- Implement observability and human in the loop controls
- Introduce engineering standards and ways of working
- Measure automation impact on operational metrics
- Redesign operational processes to improve leverage
- Troubleshoot distributed systems
Perks/Benefits
- 401k match
- Dental insurance
- Healthcare
- PTO
- Paid Holidays
- Vision insurance
- Volunteer time
- Wellness benefits
- Work-life balance benefits
Skills/Tech-stack
AI orchestration | AWS | Active Directory | Agentic Workflows | Automation | Azure | Azure Active Directory | Azure DevOps | Bash | CI/CD | Cause analysis | CloudFormation | Cognito | DNS | Distributed Systems | DynamoDB | EC2 | Entra ID | Event Driven | Event-driven architecture | Git | Human-in-the-loop | IAM | Incident Response | Infrastructure as Code | Lambda | Networking | OAuth | Observability | Powershell | Python | RDS | Root Cause Analysis | Root cause | Routing | S3 | SAML | Serverless | Terraform | The Loop | “as-code”
Education
N/A
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