• architect, build, and optimize enterprise-scale AWS solutions • document technical decisions for clarity and reuse • lead development of AWS-based applications using Lambda, API Gateway, and ECS • build and automate infrastructure as code (IaC) • design, implement, and manage CI/CD pipelines • implement DevOps best practices using AWS • deploy and operate containerized and serverless workloads • integrate and leverage AI tools to automate operational tasks • develop and maintain AI-driven runbooks and workflows for continuous improvement • monitor, troubleshoot, and optimize performance, reliability, and cost • implement and enforce robust security and compliance • mentor engineers and collaborate with cross-disciplinary teams

• Define, drive, and continually refine the enterprise cloud architecture strategy, ensuring alignment with organizational vision, business objectives, and compliance standards (i.e., GxP) • Lead the architecture, design, and hands-on implementation of secure, resilient, and scalable AWS-centered solutions, leveraging strategic use of services such as EC2, S3, ECS, EKS, Lambda, Aurora, DynamoDB, RDS, and EventBridge • Develop, evaluate, and endorse architectural diagrams and comprehensive documentation for cloud solutions, ensuring alignment with best practices and collaboration across technical and business stakeholders • Oversee design and automation of cloud infrastructure using Infrastructure as Code (CloudFormation, AWS CDK, Terraform, Pulumi, Ansible), fostering reliable, repeatable cloud deployments at scale • Lead the strategic architecture for multicloud and hybrid data platforms—primarily AWS (Glue, Athena, Redshift) and Azure Data Lake—defining standards, governance, and engineering patterns for regulated analytics pipelines and enterprise data lakes leveraging technologies such as Spark, Databricks Lakehouse, and cloudnative services • Drive DevOps & automation excellence: design, implement, and govern robust CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, CircleCI, Azure DevOps, AWS CodePipeline/CodeBuild), ensuring efficient application delivery and automated infrastructure management • Champion the AWS Well-Architected Framework by embedding its pillars (operational excellence, security, reliability, performance efficiency, cost optimization) into enterprise practice and conducting regular reviews for continuous improvement • Lead the strategic architecture for containerized (EKS, ECS, Fargate) and serverless (Lambda, Step Functions, EventBridge) platforms, setting direction, standards, and decision frameworks that enable scalable and costefficient microservices, batch, and eventdriven systems • Ensure robust security and compliance within all cloud implementations, including access controls (IAM), data encryption, management of validated environments, and close collaboration with compliance and audit teams • Architect solutions for modernization and migration of on-premises applications, data, and infrastructure to scalable, secure, and cost-effective cloud-native solutions, leveraging automation, best practices, and compliance standards throughout the process • Set the strategic direction for cloud guardrails—spanning landing zones, account and network patterns, IAM boundaries, encryption, logging, tagging, and policyascode—to ensure enterprisealigned risk, security, and compliance across AWS and Azure • Serve as a technical authority and mentor—influencing stakeholders, guiding engineers, and reviewing designs to raise the overall architecture bar • Architect observability solutions with best practices from the industry • Use AI/MCP-enabled capabilities to quickly validate cloud designs, enable guided best-practice workflows with auditability, and enhance infrastructure management through ergonomic, automated actions • Oversee cloud cost management by monitoring and optimizing cloud service expenses and implementing tagging and financial governance across multi-cloud environments • Guide operational leadership through incident and problem management, continuous infrastructure reliability improvement, and engagement with application teams on innovative proof-of-concept pilots (AI and cloud advancements) • Present and communicate cloud architecture strategies, roadmaps, and solutions effectively to both senior leaders and peer architects, fostering organization-wide architectural alignment • Build and maintain strategic relationships with affiliates, partners, vendors, and the broader industry to advance technology initiatives in alignment with corporate values

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation. If you’re looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience, and improve people’s lives: this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are. To meet the growing needs of the Customer analytics business, the team is looking for a self-motivated, technically proficient individual to craft and shepherd coherent solutions. This will require collaboration with a range of stakeholders to clarify requirements, establish pragmatic approaches, and support and articulate decisions over time. You will join a cloud architecture team that works closely with engineering teams and other architects across the organization. Technical Requirements - Extensive experience with Google Cloud Platform (GCP), specifically BigQuery, Vertex AI, Dataflow, Dataproc, Cloud Run, CloudSQL, Spanner and Apigee. - Security & Networking: Strong understanding of cloud security protocols, IAM, encryption, and complex network topologies. - Data Management: Proficiency in Enterprise Data PLatforms, Data mesh architecture and data-driven architectural patterns. - DevOps Tooling: Hands-on experience with GitHub, SonarQube, Checkmarx, and FOSSA. - Software Engineering: Strong background in building Web Services and maintaining Clean Code standards. Technical Leadership & Strategy - System Design: Work with engineering teams to refine system designs, evangelizing for horizontal scalability, resilience, and Clean Code compliance. - Product Collaboration: Partner with Product Managers to decompose complex business needs into incremental, production-ready user stories within an Agile/Sprint methodology. - Architectural Governance: Assess and document the rationale and tradeoffs for technical decisions; contribute to the broader Cloud Architecture team to improve global practices. - DevOps Excellence: Utilize and improve CI/CD pipelines using GitHub and automated testing/security tools to maximize deployment efficiency and minimize risk. Cloud, Networking & Security - Secure Infrastructure: Serve as the primary architect for cloud solutions, ensuring "Secure-by-Design" principles are applied across Google Cloud services (Dataflow, Dataproc, CloudRun, CloudSQL, Spanner). - Advanced Networking: Design and optimize cloud networking configurations, including VPCs, Service Controls, Load Balancing, and Private Service Connect to ensure high availability and low latency. - Cyber Security Oversight: Integrate security scanning and compliance into the architecture (utilizing Checkmarx, SonarQube, and FOSSA). Proactively address vulnerabilities in distributed systems and AI models (e.g., OWASP Top 10 for LLMs). - API & Data Contracts: Bolster "Data as a Product" practices by enforcing strict API standards and data contracts to ensure seamless, secure interoperability between services. - FinOps & Cost Optimization: Drive fiscal responsibility by right-sizing GCP resources and optimizing Generative AI architectures (token management/model selection) to maximize ROI. - SRE & Performance Tuning: Apply Site Reliability Engineering principles to ensure high availability, minimize system latency, and lead root-cause analysis for complex, distributed system failures. - DevSecOps & Problem Solving: Integrate security automation into CI/CD pipelines to ensure "Secure-by-Design" deployments while solving complex architectural trade-offs between speed, scale, and risk. - Continuous Learning: Stay at the forefront of AI research, specifically regarding autonomous agents, prompt engineering etc Nice to Have - AI development tools and frameworks (e.g., LangChain, LangGraph, or Agent Dev Kit) to accelerate the delivery of intelligent applications. - Agentic & GenAI Design: Lead the architectural design of Agentic AI systems (multi-agent orchestration) and Generative AI solutions, including Retrieval-Augmented Generation (RAG) patterns and LLM integration. - Kubernetes (GKE): Experience managing containerized workloads at scale. - Kafka/Event-Driven Design: Experience with high-throughput messaging and event-driven architectures. - MLOps: Familiarity with the end-to-end lifecycle of machine learning models in production. Certifications: Google Professional Cloud Architect or Professional Machine Learning Engineer. You'll have... - Requires a bachelor’s or foreign equivalent degree in computer science, information technology or a technology related field - 5+ years of Software engineering experience using Java or Python developing services (APIs, REST, etc.) - 2+ years of experience with Google Cloud Platform or other cloud service provider (AWS, Azure, etc.) and associated cloud components. - Experience designing/architecting and running distributed systems in a production environment - STRONG communications skills and cognitive agility - ability to engage in deep technical discussions with customers and peers, become a trusted technical advisor, and maintain good documentation Even better, you may have... - Master’s degree in computer science, electrical engineering or a closely related field of study - Familiarity with a breadth of programming languages, platforms, and systems - Experience with asynchronous messaging and eventually consistent system design - An agile, pragmatic, and empirical mindset - Critical thinking, decision-making and leadership aptitudes - Good organizational and problem-solving abilities - MDM, Entity Resolution, Customer Analytics and Marketing Analytics experience is a huge plus. You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including: - Immediate medical, dental, and prescription drug coverage - Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more - Vehicle discount program for employees and family members, and management leases - Tuition assistance - Established and active employee resource groups - Paid time off for individual and team community service - A generous schedule of paid holidays, including the week between Christmas and New Year’s Day - Paid time off and the option to purchase additional vacation time. For a detailed look at our benefits, click here: Benefit Summary This position is a salary grade 8. This position is a salary grade 8 and ranges from $115,000-$192,900. *Visa Sponsorship is provided for this role* Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660. #LI-Remote #LI-GH2

Role Description Responsible for deploying and scaling high-performance computing (HPC) infrastructure for scientific applications within a pharmaceutical R&D setting. - Focus on packaging complex scientific workloads—such as R, Python, MATLAB. - Set up Azure CycleCloud clusters. - Support secure, scalable, and compliant processing of clinical R&D data. - Facilitate the shift from on-premises HPC to cloud-native solutions, optimizing performance and meeting industry standards. - Deploy HPC cloud using Azure CycleCloud. - Design and configure Azure HPC CycleCloud clusters with SLURM scheduler. - Develop hardened GSK Linux VM golden images for HPC-Cloud, ensuring compliance with GSK standards. - Build login/head nodes and set up dynamic scaling of compute nodes based on job needs. - Evaluate HPC-Cloud deployment and migration proof of concept. - Package scientific applications with R, Python, and MATLAB. - Apply best practices for cloud-native HPC operations. - Optimize on-demand provisioning for CycleCloud clusters. - Migrate scientific applications from on-prem HPC to HPC-Cloud. Qualifications - Experience with Azure Cloud infrastructure, Linux operating systems, and shell scripting. - Strong knowledge of HPC architecture, Azure CycleCloud, and SLURM job scheduling. - Familiarity with MS Azure Cloud, Image Bakery, and cloud migration approaches. - Proficiency in R, Python, MATLAB, and Linux-based scientific computing. Requirements - Very Specific Skill Set, All in RED. - MSP experience would be a huge +. - More Certs the better. MUST have a few to begin with. Benefits - 100% Remote. - 1 Year Contract. - Great Company. - Unlimited Growth.