[Hiring] Multi-Cloud Senior Engineer @Presidio

Role Description

Presidio is seeking a highly motivated Multi-Cloud Operations Senior Engineer to join our growing Managed Services team supporting customer environments across Amazon Web Services (AWS) and Google Cloud Platform (GCP). This role is part of our Cloud Managed Service Team and is responsible for providing technical support, troubleshooting, infrastructure management/optimization, and operational changes across managed cloud environments.

The ideal candidate is a strong technical troubleshooter with a passion for operational excellence, automation, and emerging AI technologies, and is eager to grow beyond their current platform strengths to build equally strong expertise across AWS, Azure, and GCP over time.

Responsibilities Include:

• Diagnose complex operational issues quickly.
• Understand cloud architecture well enough to identify root causes.
• Use AI effectively to accelerate investigation and resolution.
• Build automation and AI-driven workflows to eliminate repetitive work.
• Learn new cloud services rapidly as AWS and GCP continue to evolve.
• Manage and support cloud-native services including compute, storage, networking, identity, monitoring, and security services.
• Develop and maintain Infrastructure-as-Code (e.g., Terraform, CloudFormation, Google Deployment Manager) to support consistent, repeatable infrastructure deployments.
• Create and maintain runbooks, knowledge base articles, and technical documentation to support consistent service delivery and knowledge transfer.
• Measure and report on automation and AI initiatives, demonstrating improvements in operational efficiency, service delivery, customer experience, and platform reliability.
• Champion a culture of continuous improvement, innovation, and operational excellence through the adoption of automation and AI-first operational practices.
• Serve as the primary technical resource for managed services customers, driving technical conversations with both the customer and internal account teams.
• Communicate effectively with customers regarding incidents, service requests, maintenance activities, and change implementations.
• Deliver high-quality customer service while maintaining SLA commitments.
• Mentor team members and lead technical initiatives that raise the bar on service delivery, operational efficiency, and engineering best practices.
• Provide technical leadership during complex incidents, guiding engineers through troubleshooting, root cause analysis, and long-term corrective actions.

Qualifications

• 6+ years experience troubleshooting and managing core services in both AWS and GCP, including compute, networking, identity, storage, monitoring/observability (e.g., CloudWatch, Cloud Monitoring), and security (e.g., IAM, KMS/Cloud KMS, network security controls).
• 3+ years developing automation solutions using Python, Infrastructure-as-Code (e.g., Terraform, CloudFormation, Google Deployment Manager), 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 (e.g., AWS Certified Solutions Architect, AWS Certified SysOps Administrator, Google Cloud Professional Cloud Architect), or willingness to obtain one within 90 days of hire.
• Must be eligible to support public sector customers and successfully complete any required criminal history, fingerprint-based, or other customer-mandated background investigations necessary to access customer environments and systems.
• Must be available to support customer environments during designated shift hours.
• Participation in after-hours escalation and on-call rotation may be required.
• Must be a US Citizen.

Requirements

• Experience working in various roles at an AWS/GCP MSP.
• Hands-on production experience across all three major hyperscalers (AWS, Azure, and GCP), including core compute, networking, identity, and security services.
• Experience building AI-powered operational workflows and intelligent automation solutions.
• Experience leveraging LLMs, generative AI platforms, and AI assistants within engineering or operations environments.
• Experience integrating AI services such as Amazon Bedrock, Azure OpenAI, Anthropic Claude, OpenAI APIs, or similar platforms.
• Experience developing agentic workflows, AI orchestration frameworks, or autonomous operational processes.
• Experience with AIOps platforms, observability tools, and intelligent event correlation systems.
• Experience building knowledge retrieval, RAG, or AI-assisted support solutions.
• Experience with cost optimization and rightsizing practices across AWS and GCP (e.g., AWS Cost Explorer/Trusted Advisor, GCP Cost Management/Recommender).
• Experience with observability and troubleshooting of complex EKS/AKS/GKE implementations.

Benefits

• Joining Presidio means stepping into a culture of trailblazers - thinkers, builders, and collaborators - who push the boundaries of what's possible.
• With our expertise in AI-driven analytics, cloud solutions, cybersecurity, and next-gen infrastructure, we enable businesses to stay ahead in an ever-evolving digital world.
• Your impact is real. Whether you're harnessing the power of Generative AI, architecting resilient digital ecosystems, or driving data-driven transformation, you'll be part of a team that is shaping the future.