Director, Cloud Infrastructure

Convene

. Rebuild the deployment path and own CI/CD end to end, including build, release, and rollback .

Posted 10/22/2026full-timeRemote • United StatesLead💰 $180,000 - $220,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in building and managing production cloud infrastructure, with a strong focus on CI/CD automation, infrastructure as code, and AI system operations. Capable of leading cross-functional teams and communicating complex technical concepts to diverse stakeholders.

Highest-signal resume keywords

AWS Cloud Infrastructure ManagementCI/CD Pipeline AutomationInfrastructure As Code (Terraform)AI Systems OperationsCost Estimation And Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Cloud InfrastructureCI/CD PipelinesInfrastructure As CodeAWSEKSECSAI SystemsCost AttributionObservabilitySecurity And Governance

Soft Skills

CommunicationLeadershipTrainingKnowledge Dissemination

Tools & Technologies

TerraformLokiGrafana

Industry Keywords

Deployment ProcessAccess ControlProvider RoutingCost ControlIncident Management

Tech Stack

Tools & technologies

AWSCloudGrafanaTerraform

About the role

Key responsibilities & impact

Rebuild the deployment path and own CI/CD end to end, including build, release, and rollback
Automate deployments and establish a safe, secure, and governed deployment process
Define source control, CI tooling, orchestration, and infrastructure-as-code patterns; document trade-offs and lead migrations
Build and operate the AI gateway for provider routing, key management, rate limits, token metering, usage logging, and governance
Enable AI-first, spec-driven development with environments, pipelines, guardrails, ephemeral environments, fast feedback, and automated verification
Forecast AI and cloud costs and provide Finance with planning inputs
Monitor cloud spend and partner with teams to control costs
Support in-venue networking applications for access control, connectivity, and on-site A/V and production
Build the observability layer using logging, metrics, alerting, routing, Loki, and Grafana
Coordinate with product and corporate engineering teams
Create runbooks, designate backup operators, train team members, and disseminate knowledge
Lead through the platform with high autonomy and no current direct reports

Requirements

What you’ll need

9+ years of experience building and running production cloud infrastructure
Deep AWS experience, including multi-account structure, networking, IAM, and container orchestration on EKS and/or ECS
Experience operating production workloads through incidents, upgrades, and growth
Fluency in infrastructure as code, such as Terraform or equivalent
Experience building or rebuilding CI/CD pipelines and moving organizations from manual deploys to automated deployments
Knowledge of security and governance, including secrets, least privilege, audit trails, environment isolation, and deployment permissions
Experience running AI systems in production, including gateway-layer access control, provider routing, cost attribution, observability, and LLM-backed features
Experience with evaluation, monitoring, and versioning of AI systems
Ability to estimate and defend architecture costs
Experience using AI agents for real multi-step work beyond autocomplete and verifying their output
Ability to explain decisions, risks, and trade-offs to engineers, non-engineers, and executives
No educational credential is explicitly required

Benefits

Comp & perks

Day-one health coverage for you and your family
24/7 virtual care
Emotional well-being support
Fertility & family planning benefits
Generous PTO
Birthday off
Paid parental leave
Year-end holiday closure
401K with company match
Support for education, courses, and certifications
Ongoing career growth opportunities
Recognition programs
Volunteer and give-back opportunities