Endeavour. Inspired Infrastructure. - Director of Global IT DevOps & AI Infrastructure
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Requirements
• 7+ years in IT DevOps, AI infrastructure or cloud engineering • 7+ years • 3+ years of leadership experience • 3+ years • 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. • Proven DevOps & Scaling Leadership: • 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. • Financial & Budget Ownership: • Deep Technical Expertise: Strong, hands-on experience with Microsoft Azure (or equivalent cloud platforms), CI/CD pipelines, containers, IaC, networking, DNS, and distributed systems. • Deep Technical Expertise: • Integration & Systems Thinking: Experience managing complex integrations across APIs, data visualization platforms, and ERP/supply chain technologies. • Integration & Systems Thinking: • Strategic & Hands-On Operator: Capable of operating at an executive, architectural level while remaining comfortable rolling up your sleeves to build systems from scratch. • Strategic & Hands-On Operator: • AI Ecosystem Fluency: Proven ability to operationalize LLMs, AI platforms, and rapid-development (low-code/no-code) ecosystems within an enterprise, deeply understanding AI reliability, evaluation, and scaling challenges. • AI Ecosystem Fluency: • Mission Alignment: Deeply motivated by applying technology and AI to solve real-world challenges in global water and energy infrastructure. • Mission Alignment: • 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. • Position: Director of Global IT DevOps & AI Infrastructure
Responsibilities
• Include but are not limited to: • DevOps Ownership & Productionization of AI Systems • 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. • Lead the DevOps Strategy: • 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. • Standardize Development Pathways: • Establish Frameworks: Drive versioning, monitoring, rollback, and observability across both AI and traditional applications. • Establish Frameworks: • Implement Scalable Deployment Patterns: Utilize containers, serverless architectures, and microservices to support rapid iteration without sacrificing stability. • Implement Scalable Deployment Patterns: • AI Platform Scaling & Lifecycle Management • Manage the AI Lifecycle: Architect prompt engineering environments, model orchestration, API integrations, and validation pipelines. • Manage the AI Lifecycle: • Evolve Prototypes: Define the pathway for AI prototypes to become internal tools, client-facing applications, and public-facing digital platforms. • Evolve Prototypes: • Establish Governance: Build frameworks for model usage, cost control, performance monitoring, and output reliability. • Establish Governance: • Partner for Success: Collaborate with stakeholders to ensure AI solutions are production-ready, auditable, and aligned with business goals. • Partner for Success: • Cloud Architecture & Infrastructure Engineering • Optimize Cloud Environments: Own global cloud infrastructure (primarily Microsoft Azure) to ensure high availability, security, compliance, and horizontal scalability. • Optimize Cloud Environments: • Design for Data: Architect infrastructure that supports data-intensive workloads, spatial systems, and AI-driven applications. • Design for Data: • Build Resilient Systems: Ensure infrastructure is capable of supporting global users, partners, and mission-critical operations. • Build Resilient Systems: • AI Security & Enterprise Governance • Secure AI Usage: Establish secure enterprise environments with data isolation, sandboxing, role-based access controls (RBAC), and secure API orchestration. • Secure AI Usage: • Protect Critical Assets: Define governance policies that protect proprietary infrastructure designs and sensitive client/operational data. • Protect Critical Assets: • Ensure Compliance: Stay ahead of evolving standards regarding AI usage, data privacy, and enterprise risk management. • Ensure Compliance: • Team Leadership & Organizational Development • 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. • Build and Lead High-Performing Teams: • Define Operating Models: Establish clear roles, workflows, and performance expectations across distributed teams, contractors, and external partners. • Define Operating Models: • Mentor and Develop Talent: Provide hands-on leadership, coaching, and career development for technical team members, ensuring long-term capability growth. • Mentor and Develop Talent: • Cross-Functional Leadership: Act as a key partner to product, engineering, and business leaders to align technical execution with company priorities. • Cross-Functional Leadership: • Budget Ownership & Financial Management • Own the Technology Budget: Develop and manage the global IT DevOps and cloud infrastructure budget, including forecasting, cost optimization, and vendor management. • Own the Technology Budget: • Optimize Cloud & AI Spend: Implement cost governance strategies across cloud platforms, AI tooling, and third-party services to ensure efficient scaling. • Optimize Cloud & AI Spend: • Vendor & Partner Management: Evaluate, negotiate, and manage relationships with technology vendors, SaaS providers, and infrastructure partners. • Vendor & Partner Management: • ROI-Driven Decision Making: Ensure all infrastructure and AI investments are aligned with measurable business outcomes and scalability goals. • ROI-Driven Decision Making: • Integration Strategy & Systems Architecture • Lead Enterprise Integration Strategy: Define and oversee integration architecture across internal systems, third-party platforms, and partner ecosystems. • Lead Enterprise Integration Strategy: • API & Data Ecosystem Ownership: Ensure seamless interoperability between AI platforms, ERP/supply chain systems, data visualization tools, and spatial technologies. • API & Data Ecosystem Ownership: • Enable Scalable Data Flows: Architect reliable, secure, and real-time data pipelines that support both operational systems and AI-driven insights. • Enable Scalable Data Flows: • Reduce Technical Fragmentation: Standardize integration patterns, tools, and governance to minimize redundancy and improve system cohesion across the organization. • Reduce Technical Fragmentation: • Global Collaboration & Asset Ownership • Platform Enablement: Architect identity, access, and collaboration systems for a globally distributed workforce, ensuring seamless interaction between internal teams, partners, clients, and vendors. • Platform Enablement: • Digital Infrastructure Ownership: Take full command of domain registries, DNS architecture, SSL lifecycle management, global routing, and web infrastructure. • Digital Infrastructure Ownership: • Performance Assurance: Ensure all digital assets are secure, performant, and scalable across regions. • Performance Assurance:
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