Director, Cloud Infrastructure

This is a fully remote position, open to applicants in United States.

📋 Description

• Redesign the deployment pathway and manage CI/CD processes from start to finish, encompassing build, release, and rollback procedures.

• Automate deployment processes and create a secure, safe, and regulated deployment framework.

• Establish source control, CI tooling, orchestration, and infrastructure-as-code practices; document trade-offs and guide migrations.

• Develop and maintain the AI gateway for provider routing, key management, rate limits, token metering, usage logging, and governance.

• Facilitate AI-first, specification-driven development with environments, pipelines, guardrails, ephemeral setups, rapid feedback, and automated validation.

• Anticipate AI and cloud expenses and provide financial planning insights.

• Oversee cloud expenditures and collaborate with teams to manage costs effectively.

• Assist in-venue networking applications for access control, connectivity, and on-site audio/visual production.

• Construct the observability layer utilizing logging, metrics, alerting, routing, Loki, and Grafana.

• Collaborate with product and corporate engineering teams.

• Develop runbooks, assign backup operators, mentor team members, and share knowledge.

• Lead the platform with a high degree of autonomy and currently no direct reports.

⛳️ Requirements

• Over 9 years of experience in building and managing production cloud infrastructure.

• Extensive experience with AWS, including multi-account architecture, networking, IAM, and container orchestration on EKS and/or ECS.

• Proven experience in operating production workloads during incidents, upgrades, and scaling.

• Proficient in infrastructure as code tools, such as Terraform or equivalent.

• Experience in developing or revamping CI/CD pipelines and transitioning organizations from manual to automated deployments.

• Understanding of security and governance principles, including secrets management, least privilege access, audit trails, environment isolation, and deployment permissions.

• Experience in running AI systems in a production environment, encompassing gateway-layer access control, provider routing, cost attribution, observability, and LLM-driven features.

• Familiarity with the evaluation, monitoring, and versioning of AI systems.

• Capability to estimate and justify architecture costs.

• Experience utilizing AI agents for complex multi-step tasks beyond mere autocomplete and validating their outputs.

• Ability to articulate decisions, risks, and trade-offs to engineers, non-engineers, and executives alike.

• No specific academic qualifications are mandated.

🏝️ Benefits

• Comprehensive health coverage starting on day one for you and your family.

• 24/7 access to virtual healthcare services.

• Support for emotional well-being.

• Benefits for fertility and family planning.

• Generous paid time off.

• A day off for your birthday.

• Paid parental leave.

• Year-end holiday closure.

• 401K plan with company matching.

• Assistance for education, courses, and certifications.

• Continuous career advancement opportunities.

• Recognition programs.

• Opportunities for volunteering and giving back to the community.