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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing AWS and GCP environments, with a strong focus on automation, AI-driven workflows, and Infrastructure-as-Code practices. Proven ability to lead technical initiatives, mentor team members, and enhance operational efficiency through innovative solutions.
Highest-signal resume keywords
AWS ManagementGCP ManagementInfrastructure-as-CodeAutomation Solutions DevelopmentAI Tools Utilization
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
TroubleshootingCloud OperationsContainerized WorkloadsREST API IntegrationPython DevelopmentTerraformCloudFormationGoogle Deployment ManagerAIOps PlatformsObservability Tools
Soft Skills
Analytical SkillsSystems ThinkingWritten CommunicationVerbal CommunicationMentoring
Tools & Technologies
AWSGCPAI PlatformsAutomation PlatformsOrchestration Tools
Certifications & Qualifications
AWS CertificationGCP Certification
Industry Keywords
Managed ServicesPublic Sector SupportOperational EfficiencyService DeliveryPlatform Reliability
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPythonTerraform
About the role
Key responsibilities & impact- Provide technical support, troubleshooting, infrastructure management, optimization, and operational changes across managed AWS and GCP environments
- Diagnose complex operational issues and identify root causes
- Use AI to accelerate investigation and resolution
- Build automation and AI-driven workflows to eliminate repetitive work
- Manage cloud-native compute, storage, networking, identity, monitoring, and security services
- Develop and maintain Infrastructure-as-Code using Terraform, CloudFormation, or Google Deployment Manager
- Create runbooks, knowledge base articles, and technical documentation
- Measure and report on automation and AI initiatives and their impact on operational efficiency, service delivery, customer experience, and platform reliability
- Champion continuous improvement, innovation, automation, and AI-first operational practices
- Serve as the primary technical resource for managed services customers
- Lead technical conversations with customers and internal account teams
- Communicate about incidents, service requests, maintenance activities, and change implementations
- Deliver customer service while maintaining SLA commitments
- Mentor team members and lead technical initiatives
- Provide technical leadership during complex incidents, troubleshooting, root cause analysis, and corrective actions
- Help mature and scale Presidio’s GCP managed services capabilities alongside its AWS practice
Requirements
What you’ll need- 6+ years experience troubleshooting and managing core services in both AWS and GCP, including compute, networking, identity, storage, monitoring/observability, and security
- 3+ years developing automation solutions using Python, Infrastructure-as-Code, APIs, workflows, or orchestration tools
- 3+ years of experience supporting enterprise infrastructure, cloud operations, managed services, or platform engineering environments
- Demonstrated ability to leverage AI tools, assistants, and automation platforms to improve operational efficiency and accelerate problem resolution
- Experience consuming and integrating REST APIs and cloud-native services
- Strong analytical and systems-thinking skills with a proven ability to diagnose complex technical issues
- Strong written and verbal communication skills
- Experience supporting containerized workloads
- At least one current AWS or GCP certification, or willingness to obtain one within 90 days of hire
- Must be eligible to support public sector customers and successfully complete required criminal history, fingerprint-based, or other customer-mandated background investigations
- Must be available during designated shift hours; after-hours escalation and on-call rotation may be required
- Must be a US Citizen
- Proof of active certification(s) is required
- Must successfully complete and maintain all customer-required background investigations and eligibility requirements
- Desired: experience at an AWS/GCP MSP
- Desired: production experience across AWS, Azure, and GCP
- Desired: experience building AI-powered operational workflows and intelligent automation solutions
- Desired: experience with LLMs, generative AI platforms, and AI assistants
- Desired: experience integrating Amazon Bedrock, Azure OpenAI, Anthropic Claude, OpenAI APIs, or similar platforms
- Desired: experience developing agentic workflows, AI orchestration frameworks, or autonomous operational processes
- Desired: experience with AIOps platforms, observability tools, and intelligent event correlation systems
- Desired: experience building knowledge retrieval, RAG, or AI-assisted support solutions
- Desired: experience with cost optimization and rightsizing across AWS and GCP
- Desired: experience troubleshooting EKS/AKS/GKE implementations
Benefits
Comp & perks- Remote work in the Continental US
- Associated travel of 5%
- Equal Opportunity Employer
- Reasonable accommodations for individuals with disabilities
- Support for protected veterans
- Applications accepted on a rolling basis