Role Description We are looking for a visionary Staff Engineer to serve as the technical North Star for our data and AI-driven platforms. In this role, you will be responsible for the evolution of our core architecture, moving us toward a future where real-time data processing and AI are seamlessly integrated into every facet of our product. As our data ecosystem grows in complexity, we need a leader who can navigate the intersection of high-performance backend engineering and modern AI capabilities. You will tackle "unsolved" problems—designing systems that handle petabytes of data with millisecond latency, architecting multi-tenant API ecosystems, and building the infrastructure that delights our customers who are leveraging our AI solutions for their everyday work. You are a "leader of leaders," someone who influences our multi-year technical roadmap and ensures that our engineering standards remain world-class while we innovate at speed on the Google Cloud Platform (GCP). Qualifications - Bachelor’s Degree in Computer Science, Data Science, or a related field - 10+ years of professional software engineering experience, with at least 5 years using Python and SQL - 5 years experience building and consuming APIs to drive complex data integrations across distributed systems - 5 years experience migrating or building large-scale architectures on GCP - 4+ years in a Senior or Staff capacity, overseeing large-scale distributed systems - 2+ years Practical experience using LLM APIs or building GenAI-enabled applications - Experience in a "Product-led" engineering environment where you have directly influenced product features through technical capability Requirements - Expert-level proficiency in Java and Python - Strong experience with Kotlin for modern backend services - Deep experience with GCP (Google Cloud Platform), specifically BigQuery, Dataflow, Vertex AI, GKE (Google Kubernetes Engine), and IAM - Mastery of SQL and data modeling - Proven track record of building real-time processing systems at scale and robust batch ETL/ELT pipelines - Practical experience deploying AI/ML models in production, prompt engineering, fine-tuning, and working with vector databases (e.g., Pinecone, Weaviate, or Vertex AI Search) - Expert knowledge of distributed systems, CAP theorem, microservices patterns, and event-driven architecture - Ability to look 12–24 months ahead and identify technical debt or opportunities for innovation - Ability to explain complex technical concepts to non-technical stakeholders and executives - A "get it done" attitude with the ability to navigate ambiguity and drive projects to completion in a fast-paced environment Benefits - Immediate medical, dental, vision and prescription drug coverage - Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more - Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, 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 Company Description This position is leadership level 6 and ranges from $132,800-$250,800. For California residents this position is a leadership level 6 and ranges from $150,200-$283,500. Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value. Visa sponsorship is not available for this position. 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. 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.

Role Description We are currently searching for a Sr .NET Engineer: - Deliver full-stack .NET development solutions for core business applications. - Support and maintain enterprise SaaS-based applications and products to ensure high availability. - Provide production and application support as necessary during EST timezone business hours (no 24/7 on-call required). - Collaborate within an Agile/Scrum team environment to deliver high-quality software increments. - Demonstrate a proactive attitude and willingness to cross-skill into new technologies as platform capabilities evolve. Qualifications - Advanced English communication skills (written and verbal). - Proven senior-level experience in .NET Full Stack development. - Solid experience supporting SaaS-based applications or commercial software products. - Flexibility to balance new feature development with production support duties. - Strong experience working under Agile/Scrum methodologies. Requirements - Cloud exposure, specifically within the Azure ecosystem. - Familiarity or hands-on knowledge with any AI platform. - Advanced Oral English. - Advanced Spanish. Benefits - Fully remote position.

• Partner directly with customers to understand technical requirements, workflows, and operational objectives. • Design and implement tailored technical solutions in customer environments. • Lead deployments, integrations, proof-of-concepts, and production rollouts. • Troubleshoot complex technical issues across infrastructure, networking, identity, APIs, and cloud platforms. • Translate customer challenges into scalable technical solutions. • Build scripts, automation, integrations, and lightweight applications to extend platform capabilities. • Develop APIs, connectors, and workflow automations. • Integrate with enterprise systems such as IAM, SIEM, endpoint management, cloud providers, and DevOps tooling. • Contribute reusable deployment patterns, templates, and tooling. • Work closely with Product, Engineering, Sales Engineering, Customer Success, and Support teams. • Provide product feedback based on customer needs and field experience. • Influence roadmap priorities through direct customer insights. • Document implementation best practices and operational runbooks. • Serve as a trusted technical advisor to customers. • Lead technical workshops, architecture reviews, and onboarding sessions. • Mentor customers and internal teams on deployment best practices. • Drive operational excellence and long-term customer success.

• Provide expert-level technical support for our products • Analyze, diagnose, and debug complex customer issues. • Create and implement patches, fixes, and diagnostic tools. • Take ownership of escalations and drive them toward resolution. • Act as a technical focal point in cooperative relationships with other internal groups. • Coordinate with engineers across various product components to deliver successful outcomes. • Acquire both broad and in-depth product knowledge • Create and improve documentation to help support engineers resolve cases. • Demonstrate strong interpersonal and communication skills. • Push for solutions and collaborate with people across teams.