<?xml version="1.0" encoding="UTF-8"?>
<source>
  <jobs>
    <job>
      <externalid>7d57ab2d-f3b</externalid>
      <Title>Cloud Solution Architect</Title>
      <Description><![CDATA[<p>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&#39;s transportation.</p>
<p>If you&#39;re looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience, and improve people&#39;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.</p>
<p>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 organisation.</p>
<p><strong>Responsibilities</strong></p>
<p><strong>Technical Requirements</strong></p>
<ul>
<li>Extensive experience with Google Cloud Platform (GCP), specifically BigQuery, Vertex AI, Dataflow, Dataproc, Cloud Run, CloudSQL, Spanner and Apigee.</li>
</ul>
<ul>
<li>Security &amp; Networking: Strong understanding of cloud security protocols, IAM, encryption, and complex network topologies.</li>
</ul>
<ul>
<li>Data Management: Proficiency in Enterprise Data Platforms, Data mesh architecture and data-driven architectural patterns.</li>
</ul>
<ul>
<li>DevOps Tooling: Hands-on experience with GitHub, SonarQube, Checkmarx, and FOSSA.</li>
</ul>
<ul>
<li>Software Engineering: Strong background in building Web Services and maintaining Clean Code standards.</li>
</ul>
<p><strong>Technical Leadership &amp; Strategy</strong></p>
<ul>
<li>System Design: Work with engineering teams to refine system designs, evangelising for horizontal scalability, resilience, and Clean Code compliance.</li>
</ul>
<ul>
<li>Product Collaboration: Partner with Product Managers to decompose complex business needs into incremental, production-ready user stories within an Agile/Sprint methodology.</li>
</ul>
<ul>
<li>Architectural Governance: Assess and document the rationale and tradeoffs for technical decisions; contribute to the broader Cloud Architecture team to improve global practices.</li>
</ul>
<ul>
<li>DevOps Excellence: Utilise and improve CI/CD pipelines using GitHub and automated testing/security tools to maximise deployment efficiency and minimise risk.</li>
</ul>
<p><strong>Cloud, Networking &amp; Security</strong></p>
<ul>
<li>Secure Infrastructure: Serve as the primary architect for cloud solutions, ensuring &#39;Secure-by-Design&#39; principles are applied across Google Cloud services (Dataflow, Dataproc, CloudRun, CloudSQL, Spanner).</li>
</ul>
<ul>
<li>Advanced Networking: Design and optimise cloud networking configurations, including VPCs, Service Controls, Load Balancing, and Private Service Connect to ensure high availability and low latency.</li>
</ul>
<ul>
<li>Cyber Security Oversight: Integrate security scanning and compliance into the architecture (utilising Checkmarx, SonarQube, and FOSSA). Proactively address vulnerabilities in distributed systems and AI models (e.g., OWASP Top 10 for LLMs).</li>
</ul>
<ul>
<li>API &amp; Data Contracts: Bolster &#39;Data as a Product&#39; practices by enforcing strict API standards and data contracts to ensure seamless, secure interoperability between services.</li>
</ul>
<ul>
<li>FinOps &amp; Cost Optimisation: Drive fiscal responsibility by right-sizing GCP resources and optimising Generative AI architectures (token management/model selection) to maximise ROI.</li>
</ul>
<ul>
<li>SRE &amp; Performance Tuning: Apply Site Reliability Engineering principles to ensure high availability, minimise system latency, and lead root-cause analysis for complex, distributed system failures.</li>
</ul>
<ul>
<li>DevSecOps &amp; Problem Solving: Integrate security automation into CI/CD pipelines to ensure &#39;Secure-by-Design&#39; deployments while solving complex architectural trade-offs between speed, scale, and risk.</li>
</ul>
<ul>
<li>Continuous Learning: Stay at the forefront of AI research, specifically regarding autonomous agents, prompt engineering etc</li>
</ul>
<p><strong>Nice to Have</strong></p>
<ul>
<li>AI development tools and frameworks (e.g., LangChain, LangGraph, or Agent Dev Kit) to accelerate the delivery of intelligent applications.</li>
</ul>
<ul>
<li>Agentic &amp; 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.</li>
</ul>
<ul>
<li>Kubernetes (GKE): Experience managing containerised workloads at scale.</li>
</ul>
<ul>
<li>Kafka/Event-Driven Design: Experience with high-throughput messaging and event-driven architectures.</li>
</ul>
<ul>
<li>MLOps: Familiarity with the end-to-end lifecycle of machine learning models in production.</li>
</ul>
<p><strong>Qualifications</strong></p>
<p><strong>You&#39;ll have...</strong></p>
<ul>
<li>Requires a bachelor&#39;s or foreign equivalent degree in computer science, information technology or a technology related field</li>
</ul>
<ul>
<li>5+ years of Software engineering experience using Java or Python developing services (APIs, REST, etc.)</li>
</ul>
<ul>
<li>2+ years of experience with Google Cloud Platform or other cloud service provider (AWS, Azure, etc.) and associated cloud components.</li>
</ul>
<ul>
<li>Experience designing/architecting and running distributed systems in a production environment</li>
</ul>
<ul>
<li>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</li>
</ul>
<p><strong>Even better, you may have...</strong></p>
<ul>
<li>Master&#39;s degree in computer science, electrical engineering or a closely related field of study</li>
</ul>
<ul>
<li>Familiarity with a breadth of programming languages, platforms, and systems</li>
</ul>
<ul>
<li>Experience with asynchronous messaging and eventually consistent system design</li>
</ul>
<ul>
<li>An agile, pragmatic, and empirical mindset</li>
</ul>
<ul>
<li>Critical thinking, decision-making and leadership aptitudes</li>
</ul>
<ul>
<li>Good organisational and problem-solving abilities</li>
</ul>
<ul>
<li>MDM, Entity Resolution, Customer Analytics and Marketing Analytics experience is a huge plus.</li>
</ul>
<p>You may not check every box, or your experience may look a little different from what we&#39;ve outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!</p>
<p><strong>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:</strong></p>
<ul>
<li>Immediate medical, dental, and prescription drug coverage</li>
</ul>
<ul>
<li>Flexible family care, parental leave, new parent ramp-up programs, subsidised back-up child care and more</li>
</ul>
<ul>
<li>Vehicle discount programme for employees and family members, and management leases</li>
</ul>
<ul>
<li>Tuition assistance</li>
</ul>
<ul>
<li>Established and active employee resource groups</li>
</ul>
<ul>
<li>Paid time off for individual and team community service</li>
</ul>
<ul>
<li>A generous schedule of paid holidays, including the week between Christmas and New Year&#39;s Day</li>
</ul>
<ul>
<li>Paid time off and the option to purchase additional vacation time.</li>
</ul>
<p><strong>For a detailed look at our benefits, click here:</strong> Benefit Summary</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>remote</Workarrangement>
      <Salaryrange>$115,000-$192,900</Salaryrange>
      <Skills>Google Cloud Platform, BigQuery, Vertex AI, Dataflow, Dataproc, Cloud Run, CloudSQL, Spanner, Apigee, Security &amp; Networking, IAM, Encryption, Complex Network Topologies, Data Management, Enterprise Data Platforms, Data Mesh Architecture, Data-Driven Architectural Patterns, DevOps Tooling, GitHub, SonarQube, Checkmarx, FOSSA, Software Engineering, Web Services, Clean Code Standards, System Design, Horizontal Scalability, Resilience, Clean Code Compliance, Product Collaboration, Agile/Sprint Methodology, Architectural Governance, Cloud Architecture, DevOps Excellence, CI/CD Pipelines, Automated Testing/Security Tools, Secure Infrastructure, Secure-by-Design Principles, Cloud Services, Advanced Networking, VPCs, Service Controls, Load Balancing, Private Service Connect, Cyber Security Oversight, Security Scanning, Compliance, Distributed Systems, AI Models, API &amp; Data Contracts, Data as a Product, API Standards, Data Contracts, Seamless Interoperability, FinOps &amp; Cost Optimisation, Fiscal Responsibility, GCP Resources, Generative AI Architectures, Token Management, Model Selection, ROI Maximisation, SRE &amp; Performance Tuning, High Availability, System Latency, Root-Cause Analysis, DevSecOps &amp; Problem Solving, Security Automation, Continuous Learning, AI Research, Autonomous Agents, Prompt Engineering, Kubernetes, Containerised Workloads, Kafka/Event-Driven Design, High-Throughput Messaging, Event-Driven Architectures, MLOps, Machine Learning Models, End-to-End Lifecycle, AI Development Tools, Frameworks, LangChain, LangGraph, Agent Dev Kit, Agentic &amp; GenAI Design, Multi-Agent Orchestration, Generative AI Solutions, Retrieval-Augmented Generation, LLM Integration, Kubernetes (GKE)</Skills>
      <Category>Engineering</Category>
      <Industry>Automotive</Industry>
      <Employername>Ford Motor Company</Employername>
      <Employerlogo>https://logos.yubhub.co/corporate.ford.com.png</Employerlogo>
      <Employerdescription>Ford Motor Company is a multinational automaker headquartered in Dearborn, Michigan. It is one of the largest automobile manufacturers in the world.</Employerdescription>
      <Employerwebsite>https://corporate.ford.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/62370</Applyto>
      <Location>Dearborn</Location>
      <Country></Country>
      <Postedate>2026-04-24</Postedate>
    </job>
    <job>
      <externalid>4528f6ba-6ed</externalid>
      <Title>Field Technology Director/ CTO  – Strategic Industries</Title>
      <Description><![CDATA[<p>Job Title: Field Technology Director/ CTO - Strategic Industries</p>
<p>Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it&#39;s at Cresta.</p>
<p>About the Role: The Field Technology Director/ CTO - Strategic Industries role at Cresta is a senior technical leadership position that serves as the bridge between our customers and field sales teams. It is both strategic and customer-facing, focused on aligning Cresta&#39;s technology strategy with customer needs and market trends. This role also provides critical feedback to Cresta&#39;s Engineering and Product organizations to inform roadmap and feature prioritization.</p>
<p>As a trusted advisor and strategic partner, the Field CTO helps customers understand, adopt, and maximize value from Cresta&#39;s technology solutions. The role blends deep technical expertise with strong communication and business acumen to drive technology adoption, influence product direction, and build long-term customer relationships.</p>
<p>Responsibilities:</p>
<p>Customer &amp; Field Engagement</p>
<ul>
<li>Act as the primary technical executive interface for strategic customers.</li>
<li>Translate business challenges into technical solutions using Cresta&#39;s products and services.</li>
<li>Partner with Sales, Customer Success, and Product teams to ensure technology alignment with customer needs.</li>
<li>Deliver executive-level presentations, workshops, and architecture sessions to customer stakeholders.</li>
</ul>
<p>Technology Evangelism</p>
<ul>
<li>Represent Cresta&#39;s technology vision at conferences, industry events, and customer meetings.</li>
<li>Demonstrate thought leadership on trends in AI, cloud computing, data analytics, and security.</li>
<li>Create and deliver compelling narratives that showcase how Cresta&#39;s technology drives innovation and business outcomes.</li>
</ul>
<p>Product &amp; Engineering Partnership</p>
<ul>
<li>Gather and synthesize customer feedback to inform product and engineering priorities.</li>
<li>Identify and address gaps in technology adoption or deployment through cross-functional collaboration.</li>
<li>Influence future product strategy with insights derived from real-world field engagements.</li>
</ul>
<p>Strategic Leadership</p>
<ul>
<li>Serve as a trusted advisor to CXO-level executives on digital transformation and innovation.</li>
<li>Collaborate with internal leadership to align go-to-market strategies with customer technology trends.</li>
<li>Mentor and support solution architects and customer engineers.</li>
</ul>
<p>Qualifications We Value:</p>
<ul>
<li>10+ years in technology leadership roles (CTO, Architect, or equivalent).</li>
<li>Strong expertise in enterprise architecture, cloud platforms, AI/ML, and data systems.</li>
<li>Deep understanding of SaaS, APIs, and modern software development practices.</li>
<li>Proven ability to influence C-suite stakeholders and technical decision-makers.</li>
<li>Exceptional presentation and executive communication skills.</li>
<li>Deep understanding of how enterprises leverage Generative AI solutions.</li>
<li>Extensive experience with large-scale enterprise software implementations and complex use cases.</li>
<li>Strong analytical and problem-solving abilities.</li>
<li>Experience managing and advising on large-scale programs with multiple stakeholders and dependencies.</li>
</ul>
<p>Success Metrics:</p>
<ul>
<li>Revenue growth and deal win rates within key accounts.</li>
<li>Thought leadership visibility (talks, publications, events).</li>
<li>Contributions to product innovation and roadmap evolution.</li>
<li>Customer adoption and satisfaction with Cresta&#39;s technology solutions.</li>
</ul>
<p>Perks &amp; Benefits:</p>
<p>We offer a comprehensive and people-first benefits package to support you at work and in life:</p>
<ul>
<li>Comprehensive medical, dental, and vision coverage with plans to fit you and your family.</li>
<li>Flexible PTO to take the time you need, when you need it.</li>
<li>Paid parental leave for all new parents welcoming a new child.</li>
<li>Retirement savings plan to help you plan for the future.</li>
<li>Remote work setup budget to help you create a productive home office.</li>
<li>Monthly wellness and communication stipend to keep you connected and balanced.</li>
<li>In-office meal program and commuter benefits provided for onsite employees.</li>
</ul>
<p>Compensation at Cresta:</p>
<p>Cresta&#39;s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table.</p>
<p>Compensation for this position includes a Base salary + Bonus + Equity.</p>
<p><strong>We are hiring for multiple levels for this role and title and compensation will depend upon experience.</strong></p>
<p>Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. Your recruiter can provide further details. In addition, total compensation includes a comprehensive benefits package for you and your family.</p>
<p>We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates&#39; personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>remote</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>enterprise architecture, cloud platforms, AI/ML, data systems, SaaS, APIs, modern software development practices, Generative AI solutions, large-scale enterprise software implementations, complex use cases</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Cresta</Employername>
      <Employerlogo>https://logos.yubhub.co/cresta.ai.png</Employerlogo>
      <Employerdescription>Cresta is a technology company that specializes in AI-powered contact center solutions.</Employerdescription>
      <Employerwebsite>https://www.cresta.ai/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/cresta/jobs/5012699008</Applyto>
      <Location>United States, Remote</Location>
      <Country></Country>
      <Postedate>2026-04-17</Postedate>
    </job>
  </jobs>
</source>