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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong operational ownership and production engineering capabilities, with hands-on experience in cloud environments such as AWS and Azure. Proficient in CI/CD practices, infrastructure-as-code, and automation of operational tasks, while maintaining high standards of security and documentation.
Highest-signal resume keywords
Production Engineering ExperienceAWS/Azure Cloud OperationsCI/CD and Git-Based DeliveryInfrastructure-as-Code (Terraform, CloudFormation)Automation of Operational Tasks
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Production SupportTroubleshootingConfiguration ManagementScripting (Python, TypeScript, Bash, PowerShell)API ManagementMonitoring and MetricsRoot-Cause AnalysisOperational PlaybooksIncident ResponseSecurity and Access Management
Soft Skills
Strong Written Documentation SkillsEffective Communication with StakeholdersCoordination Across TeamsProblem-SolvingTechnical Risk Explanation
Tools & Technologies
AWSAzureTerraformCloudFormationCI/CD ToolsObservability ToolingKubernetesMicrosoft EntraSalesforceDistributed Tracing
Industry Keywords
AI OperationsHyperautomationOperational StandardsService DependenciesSecure ConfigurationAuditabilityOperational ControlsIncident ManagementCloud NetworkingReusable Operational Tooling
Tech Stack
Tools & technologiesAWSAzureCloudJavaScriptKubernetesPythonTerraformTypeScript
About the role
Key responsibilities & impact- Own the operational health of AI-powered workflows, applications and agents
- Establish support arrangements, dependencies and operational standards
- Make new and changed services production-ready before go-live
- Build and maintain repeatable deployment and environment patterns using CI/CD, infrastructure-as-code and configuration management
- Configure cloud services, identity, secrets and connectivity securely
- Create and maintain logs, metrics, dashboards, alerts and health checks
- Use telemetry, incidents and recurring issues to improve resilience, error handling, recovery and automation
- Act as a technical responder for production incidents
- Troubleshoot issues across cloud, application, identity, integration and workflow layers
- Coordinate service restoration with internal teams and vendors
- Contribute to root-cause analysis and corrective actions
- Maintain visibility over APIs, connectors, authentication and external platform dependencies
- Produce and maintain technical documentation, runbooks, support procedures, recovery processes and operational playbooks
- Implement security, access, auditability, data-handling and AI operational controls
- Coordinate technical support and escalations with AWS, Microsoft, Salesforce, Anthropic and Mindflow
- Assess platform changes affecting reliability, security or supportability
- Feed operational learning back to the Hyperautomation Lead, AI Engineers and wider Technology teams
- Improve reusable operational patterns and reduce recurring support effort and production risk
Requirements
What you’ll need- Strong production engineering and operational ownership experience
- Hands-on experience operating applications or services in AWS, Azure or a comparable cloud environment, including configuration, troubleshooting, access, monitoring and production support
- Practical experience with CI/CD and Git-based delivery practices
- Experience with infrastructure-as-code such as Terraform, CloudFormation, CDK or equivalent
- Experience with environment and configuration management
- Experience automating repeatable operational tasks
- Practical programming or scripting experience using Python, TypeScript/JavaScript, Bash, PowerShell or similar
- Ability to automate tasks and diagnose production issues
- Good working knowledge of APIs, HTTP, JSON, authentication and system integrations
- Experience working with production logs, metrics, dashboards and alerts
- Experience troubleshooting live services
- Experience responding to and coordinating production incidents
- Experience contributing to root-cause analysis and corrective actions
- Understanding of identity and access management, secrets and credential management, least-privilege access, secure configuration, auditability and operational controls
- Experience taking responsibility for how production services are operated and supported
- Experience creating and maintaining runbooks, operational playbooks, recovery and troubleshooting procedures, deployment and support documentation, service dependencies and escalation paths
- Strong written documentation skills
- Ability to work effectively with engineers, infrastructure and security teams, business stakeholders and external technology providers
- Ability to coordinate technical resolution across multiple teams
- Ability to work with vendors during incidents or technical escalations
- Ability to explain technical risks and operational issues clearly
- Ability to follow issues and corrective actions through to resolution
- AI operations experience, workflow platforms, model platforms, Microsoft Entra, AWS IAM, Salesforce, observability tooling, containers/Kubernetes, distributed tracing, SRE practices, MCP, RAG, agentic AI, secure cloud networking or reusable operational tooling are nice to have, not required
Benefits
Comp & perks- Equal opportunity employer welcoming differences and people from all backgrounds, cultures and experiences
- Environment where employees can achieve their full potential and do interesting and meaningful work
- Support available throughout the interview process
- Opportunity to share in the company’s success
- Purpose-driven, high-performing culture
- Interesting and meaningful work