Director of Global IT DevOps & AI Infrastructure

Key Responsibilities

• Lead the DevOps Strategy: Own the end-to-end strategy including CI/CD pipelines, infrastructure-as-code (IaC), automated testing, and release management across all environments.
• Standardize Development Pathways: Design and enforce a standardized path from prototype to staging to production, specifically for AI-generated applications, low-code/no-code platforms (e.g., Lovable), and internal experimentation environments.
• Establish Frameworks: Drive versioning, monitoring, rollback, and observability across both AI and traditional applications.
• Implement Scalable Deployment Patterns: Utilize containers, serverless architectures, and microservices to support rapid iteration without sacrificing stability.
• Manage the AI Lifecycle: Architect prompt engineering environments, model orchestration, API integrations, and validation pipelines.
• Evolve Prototypes: Define the pathway for AI prototypes to become internal tools, client-facing applications, and public-facing digital platforms.
• Establish Governance: Build frameworks for model usage, cost control, performance monitoring, and output reliability.
• Partner for Success: Collaborate with stakeholders to ensure AI solutions are production-ready, auditable, and aligned with business goals.
• Optimize Cloud Environments: Own global cloud infrastructure (primarily Microsoft Azure) to ensure high availability, security, compliance, and horizontal scalability.
• Design for Data: Architect infrastructure that supports data-intensive workloads, spatial systems, and AI-driven applications.
• Build Resilient Systems: Ensure infrastructure is capable of supporting global users, partners, and mission-critical operations.
• Secure AI Usage: Establish secure enterprise environments with data isolation, sandboxing, role-based access controls (RBAC), and secure API orchestration.
• Protect Critical Assets: Define governance policies that protect proprietary infrastructure designs and sensitive client/operational data.
• Ensure Compliance: Stay ahead of evolving standards regarding AI usage, data privacy, and enterprise risk management.
• Build and Lead High-Performing Teams: Recruit, develop, and scale global DevOps, cloud engineering, and AI infrastructure teams, fostering a culture of accountability, innovation, and operational excellence.
• Define Operating Models: Establish clear roles, workflows, and performance expectations across distributed teams, contractors, and external partners.
• Mentor and Develop Talent: Provide hands-on leadership, coaching, and career development for technical team members, ensuring long-term capability growth.
• Cross-Functional Leadership: Act as a key partner to product, engineering, and business leaders to align technical execution with company priorities.
• Own the Technology Budget: Develop and manage the global IT DevOps and cloud infrastructure budget, including forecasting, cost optimization, and vendor management.
• Optimize Cloud & AI Spend: Implement cost governance strategies across cloud platforms, AI tooling, and third-party services to ensure efficient scaling.
• Evaluate, Negotiate, and Manage Relationships: Evaluate, negotiate, and manage relationships with technology vendors, SaaS providers, and infrastructure partners.
• Ensure ROI-Driven Decisions: Ensure all infrastructure and AI investments are aligned with measurable business outcomes and scalability goals.
• Lead Enterprise Integration Strategy: Define and oversee integration architecture across internal systems, third-party platforms, and partner ecosystems.
• API & Data Ecosystem Ownership: Ensure seamless interoperability between AI platforms, ERP/supply chain systems, data visualization tools, and spatial technologies.
• Enable Scalable Data Flows: Architect reliable, secure, and real-time data pipelines that support both operational systems and AI-driven insights.
• Reduce Technical Fragmentation: Standardize integration patterns, tools, and governance to minimize redundancy and improve system cohesion across the organization.
• Platform Enablement: Architect identity, access, and collaboration systems for a globally distributed workforce, ensuring seamless interaction between internal teams, partners, clients, and vendors.
• Digital Infrastructure Ownership: Take full command of domain registries, DNS architecture, SSL lifecycle management, global routing, and web infrastructure.
• Performance Assurance: Ensure all digital assets are secure, performant, and scalable across regions.

  Education and Experience

  • 7+ years in IT DevOps, AI infrastructure or cloud engineering
  • 3+ years of leadership experience
  • Bachelor’s or Master’s degree in Information Technology, Computer Science, Business Management, or a related field.
  • Proven DevOps & Scaling Leadership: Experience owning DevOps and infrastructure in environments scaling from startup to enterprise ($100M–$1B+), with a track record of taking products from MVP to production-grade systems.
  • Team Leadership Experience: Demonstrated success building and leading high-performing global engineering or infrastructure teams in fast-paced environments.
  • Financial & Budget Ownership: Experience managing technology budgets, optimizing cloud spend, and aligning investments with business outcomes.
  • Deep Technical Expertise: Strong, hands-on experience with Microsoft Azure (or equivalent cloud platforms), CI/CD pipelines, containers, IaC, networking, DNS, and distributed systems.
  • Integration & Systems Thinking: Experience managing complex integrations across APIs, data visualization platforms, and ERP/supply chain technologies.
  • Strategic & Hands-On Operator: Capable of operating at an executive, architectural level while remaining comfortable rolling up your sleeves to build systems from scratch.
  • Mission Alignment: Deeply motivated by applying technology and AI to solve real-world challenges in global water and energy infrastructure.

  About Endeavour

  Endeavour is taking on global challenges, and to create the appropriate global solutions is not easy. Our teams work extremely hard because we believe in Endeavour’s mission: to guarantee clean water and renewable energy to everyone, everywhere by decentralizing infrastructure, developing new technologies, & deploying energy, water, and waste treatment solutions that are more profitable than those that currently exist. We are a group of passionate change-makers who want to leave the world better than the way we found it. Endeavour prides itself on hiring talented, highly motivated people because that’s what our mission requires. There is a strong sense of camaraderie between good-natured people who bring their A-game to work every day to make a difference. To work at Endeavour is to know that you are part of something special—something bigger than yourself.