Senior Engineer – Team Lead

Presidio

Senior engineer leading cloud operations, automation, and AI workflows across AWS and Azure managed services. Supporting Presidio clients with troubleshooting, infrastructure optimization, and technical leadership.

Posted 8/19/2026full-timeRemote • California • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in diagnosing complex operational issues and leveraging AI and automation to enhance cloud services across AWS, Azure, and GCP. Proven ability to lead technical initiatives, mentor team members, and deliver exceptional customer service while maintaining SLA commitments.

Highest-signal resume keywords

AWS Cloud Services ManagementAzure Cloud Services ManagementAutomation Development Using PythonAI-Driven Workflow AutomationTechnical Leadership in Incident Resolution

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Cloud Operations ManagementTroubleshooting Core ServicesREST API IntegrationAutomation Solutions DevelopmentSystems ThinkingRoot Cause AnalysisIncident ManagementOrchestration ToolsAI Tools UtilizationEnterprise Infrastructure Support

Soft Skills

Analytical SkillsWritten CommunicationVerbal CommunicationMentoringCustomer Service

Tools & Technologies

AWSAzureGCPAIOps PlatformsObservability ToolsIntelligent Event Correlation SystemsAI AssistantsAutomation PlatformsPythonPowerShell

Certifications & Qualifications

AWS CertificationAzure CertificationGCP Certification

Industry Keywords

Managed ServicesCloud-Native ServicesOperational ExcellenceAI-First PracticesPublic Sector Support

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityERPFirewallsFlashGoGoogle Cloud PlatformOraclePMPPythonSDLCServiceNowSQLTableauUnity

About the role

Key responsibilities & impact

Diagnose complex operational issues and identify root causes across cloud environments
Use AI to accelerate investigation and resolution
Build automation and AI-driven workflows to eliminate repetitive work
Learn and support evolving AWS, Azure, and GCP services
Manage cloud-native compute, storage, networking, identity, monitoring, and security services
Measure and report on automation and AI initiatives and their impact on efficiency, service delivery, customer experience, and reliability
Champion continuous improvement, innovation, operational excellence, automation, and AI-first practices
Serve as the primary technical resource for managed services customers
Drive technical conversations with customers and internal account teams
Communicate with customers about incidents, service requests, maintenance, and changes
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
Support customer environments across AWS and Microsoft Azure, with future expansion into GCP

Requirements

What you’ll need

Bachelor's degree or equivalent work experience and/or military experience
6–9 years' experience troubleshooting and managing core services in both AWS and Azure, including compute, networking, identity, storage, monitoring, and security
3+ years' developing automation solutions using Python, PowerShell, APIs, workflows, or orchestration tools
3+ years' 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 ability to diagnose complex technical issues
Strong written and verbal communication skills
Must be eligible to support public sector customers and successfully complete required criminal history, fingerprint-based, or other customer-mandated background investigations
Must be a US Citizen
Proof of active certification(s) is required
Preferred: experience working in AWS/Azure MSP roles
Preferred: experience building AI-powered operational workflows and intelligent automation solutions
Preferred: experience with LLMs, generative AI platforms, and AI assistants
Preferred: experience integrating Amazon Bedrock, Azure OpenAI, Anthropic Claude, OpenAI APIs, or similar platforms
Preferred: experience developing agentic workflows, AI orchestration frameworks, or autonomous operational processes
Preferred: experience with AIOps platforms, observability tools, and intelligent event correlation systems
Preferred: experience building knowledge retrieval, RAG, or AI-assisted support solutions
Preferred: AWS, Azure, or GCP certifications

Benefits

Comp & perks

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
Reasonable accommodations for individuals with disabilities
Opportunity to work with generative AI, cloud solutions, cybersecurity, automation, and next-generation infrastructure
Collaborative culture of thinkers, builders, and collaborators
Professional impact through AI-driven analytics, cloud solutions, cybersecurity, digital transformation, and cloud computing