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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Director, Cloud and AI Platforms - **Company:** OTTSVILLE SHEET METAL LLC - **Location:** Shelton, CT, United States (Remote available) - **Experience:** Expert - **Salary:** $85,000.0 - $110,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Cloud Computing, Cloud Engineering, Continuous Integration, Disaster Recovery, Identity and Access Management, Key Management, Cloud Services, Zero Trust Network Access, Policy as Code, Data Logging, Snowflake, Mttr, Multi-Cloud, Cloudformation, Containerization, AI Platforms, Kubernetes, Information Technology, Bicep, Data Management, Machine Learning Operations, Terraform, Databricks - **Published:** August 21, 2026 - **Apply:** https://www.careerjet.com/job/us3272a793e801c57990a19b21df14cc16/eaa ## About the Role 12+ years of experience in cloud architecture, platform engineering, infrastructure modernization, or containerization, with a strong foundation in related technologies. Includes at least 5+ years leading managers and multi-team organizations Proven experience building and operating enterprise cloud platforms (AWS, Azure, and/or GCP) at scale, including networking, security, and governance Deep knowledge of Kubernetes and container platforms; infrastructure-as-code (Terraform, Bicep/ARM, CloudFormation), and modern CI/CD practices Track record delivering high-availability systems with mature incident management, SLO/SLI practices, and strong operational rigor Hands-on understanding of AI/ML and generative AI platform needs (model lifecycle, serving, evaluation, vector databases, RAG architectures, AI cost management) Experience implementing security-by-design and compliance controls in regulated environments (e.g., SOC2, ISO 27001, PCI, HIPAA-as applicable) Strong executive communication skills with ability to translate technical tradeoffs into business impact Bachelor's degree in computer science, Engineering, or equivalent practical experience Ability to travel up to 15% Preferred Qualifications Experience establishing an internal developer platform (IDP) and product management mindset for platform teams Experience with enterprise IAM patterns, zero trust architectures, secrets management, and policy-as-code (e.g., OPA/Gatekeeper) Experience with data platforms and governance (lakehouse/warehouse, data catalog, lineage) and their integration with AI/ML workflows Familiarity with major AI platforms and tooling (e.g., Azure AI, SageMaker, Vertex AI, Databricks, Snowflake, OpenAI/Azure OpenAI) and evaluation/guardrail frameworks Master's degree (MS/PhD) in a relevant field or MBA with strong technical background Leadership Competencies Strategic thinking with bias for execution; can set direction while delivering measurable outcomes Customer-centric platform leadership treats internal engineering teams as customers and designs for usability and adoption Strong cross-functional influence across Security, Data, Architecture, Finance, and Product Operational excellence: builds repeatable processes, clear accountability, and resilient systems Talent builder: hires and develops leaders; fosters inclusive, high-performing teams Clear, concise communication; comfortable presenting to executives and technical audiences ## Description Would you like to join a truly international, talent driven company that values Safety, Ethics, Quality, Innovation and Employee Opportunity? The Senior Director, Cloud and AI Platforms lead the strategy, architecture, and enablement of the enterprise cloud and AI platform ecosystem. This role partners across product, security, data, and application teams to deliver secure, reliable, scalable cloud capabilities (compute, storage, network, Kubernetes, CI/CD, observability, developer experience) and AI platform capabilities that accelerate delivery and improve business outcomes. On a typical day you will: Set and communicate the vision, operating model, and multi-year roadmap for Multi cloud & AI Platforms aligned to enterprise strategy. Lead cloud architecture team delivering the foundation for core cloud services (landing zones, identity, networking, compute, storage, Kubernetes, service mesh) with architectures designed to meet SLOs and reliability practices. Own the developer enablement strategy, including CI/CD patterns, infrastructure-as-code, golden paths, templates, and self-service automation. Establish scalable observability and DR architecture: monitoring, logging, tracing, and disaster recovery tools & design. Define and evolve the enterprise AI platform architecture, including AI landing zones, model serving patterns, RAG architectures, vector search integration, prompt management, evaluation, and guardrails. Define GenAIOps standards including reproducibility, automated testing, model/prompt evaluation, and release governance. Partner with Security, Risk, and Compliance to embed security-by-design, policy-as-code, data protection, and responsible AI controls (privacy, fairness, explainability, auditability). Drive cloud financial management (FinOps): cost visibility, unit economics, budgeting, chargeback/showback, optimization, and vendor management. Define platform standards and reference architectures, influence application modernization and AI adoption across business units. Manage and develop leaders: hiring, performance management, coaching, succession planning, and creating a high-trust, high-accountability culture. Measure and improve platform outcomes using KPIs (deployment frequency, lead time, change failure rate, MTTR, SLO attainment, cost per workload, AI time-to-value). Represent the platform organization in executive forums; provide clear updates on progress, risks, and tradeoffs. What you will need to be successful, Director of Surgical Services (Full-Time) Today's Smarter Choice for Care… Middlesex Health is seeking a Director of Surgical Services for our 275-bed not-for-profit Magnet hos… + 19 days ago ## Related Videos - [What Developers Get Wrong About Application Quality](https://www.wearedevelopers.com/videos/233-what-developers-get-wrong-about-application-quality) - [Back(end) to the Future: Embracing the continuous Evolution of Infrastructure and Code](https://www.wearedevelopers.com/videos/440-back-end-to-the-future-embracing-the-continuous-evolution-of-infrastructure-and-code) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [AI-Augmented DevOps with Platform Engineering](https://www.wearedevelopers.com/videos/1614-ai-augmented-devops-with-platform-engineering) - [Implementing Feature Environments with AWS and Terraform](https://www.wearedevelopers.com/videos/531-implementing-feature-environments-with-aws-and-terraform) ## Related Articles - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Trustworthy AI Starts at Deployment: 5 Checks Before You Ship](https://www.wearedevelopers.com/magazine/753-trustworthy-ai-starts-at-deployment-5-checks-before-you-ship) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)