• Design and implement scalable, secure, and high-performance services using .NET Core 6+ and modern ReactJS patterns • Take ownership of features from database schema design with EFCore to frontend component implementation • Partner with cross-functional teams (Product, Design, and QA) to translate complex business requirements into elegant technical solutions • Participate in architectural discussions, perform rigorous code reviews, and mentor junior/mid-level developers to maintain high standards • Write clean, maintainable, and well-tested code while optimizing the performance and reliability of critical system components.

Google Cloud non-relational database engineer is sought to design, implement, and manage database systems on the Google Cloud Platform. This role requires expertise in non-relational database technologies (Mongo, Firestore, Bigtable, Memorystore for Redis, Memorystore for Valkey, Neo4j), cloud-native architecture, in depth knowledge of Google Cloud Backup and Recovery, and experience with Google Cloud Platform (GCP) services. A strong background in NoSQL and experience with database migrations, Data modeling, and Performance optimization, monitoring tools are also essential. - NoSQL Database Engineering, part of Hosting Engineering department involves engineering new versions of NoSQL Databases, evaluate security patches, provide L3 support, technology management, GRC etc. - Infrastructure as Code (IaC): Design and maintain production-grade infrastructure using Terraform . Ensure all cloud resources are version-controlled and deployed via automated pipelines. - Observability & Reliability: Set up comprehensive monitoring, logging, and alerting using the Dynatrace. Define and track SLIs, SLOs, and Error Budgets. - Developer Enablement: Build internal tooling and documentation to help application developers self-serve their infrastructure needs while maintaining compliance and governance. - Cost Optimization: Monitor cloud consumption and implement cost-saving strategies such as Committed Use Discounts (CUDs) and rightsizing of compute resources. - Data Security & Protection: Enforce security best practices using IAM roles, Workload Identity, and Organization Policy Service and ensure RTO & RPO requirements are met. - Implement secure authentication between the AI Client (e.g., an agentic loop) and the MCP Server. Use GCP IAM Workload Identity and OAuth2 to ensure agents operate within strict permission boundaries. - Implement end-to-end tracing to monitor the flow from the AI Agent → MCP Server → GCP Data Source. - Experience with architecting and engineering of High Availability and Disaster Recovery solutions for NoSQL Databases - Inter-personnel skills working with other team members in same and across organization - Writing and assisting developers with Terraform, Blueprints, and APIs - Create and maintain CI/CD Pipelines - Deliver Database features to customers through Github Repo Enhancemnts - Strong understanding of SRE principles, including the implementation and management of SLOs and Error Budget - Expertise in developing observability dashboards to visualize app-to-database dependencies, enabling side-by-side health monitoring and accelerated incident resolution. - Integrate GCP database logs with Dynatrace to centralize observability, configure DQL-based anomaly detection and provide deep-dive analysis for cloud-native workloads. - Designing and implementing non-relational database solutions on GCP, including choosing appropriate services like . Mongo, Firestore, Bigtable, Memorystore, or Neo4j - Managing and maintaining database infrastructure, including provisioning, configuration, and Optimizing database performance through query tuning, indexing, and capacity planning. - Migrating existing on-premises databases to Google Cloud Platform, ensuring data integrity and minimal downtime. - Developing and maintaining logical and physical data models for non-relational databases. - Implementing and maintaining security best practices for database systems on GCP, including access controls and encryption, Peach dashboard, and Cycode. - Monitoring database performance, identifying and resolving issues, and providing support for database-related problems using Dynatrace, Query Insights, and System insights. - Writing, code reviewing, deploying Terraform code and maintaining service module repositories. - Designing and maintaining Miro board diagrams/workflow for several ongoing projects. - Requires a bachelor’s or foreign equivalent degree in computer science, information technology or a technology related field - Minimum of 10 years of overall IT experience - 5 years of experience database administration or engineering. - Strong knowledge in GCP non-relational databases like Mongo Atlas, Neo4j AuraDB, Firestore, Bigtable, Memorystore for Redis, and Memorystore for Valkey. GCP Cloud Associate Cloud Engineer certification preferred. - Experience with Cloud Run and Cloud Functions for event-driven architectures. 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, 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. This position is a salary grade 7-8 and ranges from $86,600-$166,200. 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. For more information on salary and benefits, click here: https://fordcareers.co/GSR Visa sponsorship is 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. #LI-Remote #LI-GR1

• Build and maintain backend services and internal tools in Python for AI-powered applications. • Integrate LLM APIs into production workflows, including prompt handling, response processing, validation, and retries. • Design and implement scalable REST APIs, async workflows, and background job systems. • Maintain and enhance components of a multi-language codebase (C#/C++, Python, web technologies) where applicable. • Work with structured and unstructured data to prepare inputs, transform outputs, and support downstream systems. • Develop systems for prompt management, model routing, response validation, and failure handling. • Debug complex issues across backend logic, API integrations, and distributed services. • Monitor system performance using telemetry tools and proactively identify and resolve bottlenecks. • Automate recurring workflows related to data processing, evaluation, and reporting. • Collaborate with cross-functional teams to turn ambiguous product ideas into production-ready features. • Contribute to architecture decisions around scalability, performance, and safe use of AI systems. • Write clean, testable, and maintainable code while helping establish engineering best practices for AI systems.

The technical challenge: More than 80% of Americans own a car and see it as a fundamental necessity, yet the experience of owning one is stuck in the 90s. Every part of the user journey (shopping for a car, insurance, repairs, etc) is complicated, fragmented, expensive and time-consuming. At Jerry.ai, we are building the first mobile app to manage it all. Our insurance marketplace is our core product today, and our ability to automate the end-to-end shopping experience is our core differentiator. The Core Backend Team owns the most critical part of that, the "last mile", where we orchestrate complex, multi-step transactions with external systems to finalize insurance policy purchases. Because the industry lacks modern APIs, we build custom orchestration layers that navigate internal and external interfaces with precision. It is a high-stakes puzzle of asynchronous state management and real-time system reliability. Your challenge will be to evolve our current automation systems to a robust, fault-tolerant framework that can handle external interface changes gracefully and scale across dozens of new categories with minimal manual intervention. Why you will (or won’t) like working here: - Ownership: You’ll report directly to our co-founder/CTO, who is actively involved in product implementation. There is no red tape, no slow-moving processes, and no layers of approvals needed. If you have an idea, you can pitch it, build it, and see it live in days. - Stellar team: We have a very high bar for talent, as a result, we have a small but mighty team that can move fast and accomplish a lot. You will work with likeminded peers who are equally passionate and who care intensely about what they do. - Hands-on: Many of our TLMs are ex-founders, they like getting their hands dirty and solving difficult problems. You will spend 80% of your time doing hands-on technical work (e.g. transitioning our legacy automation systems into a more decoupled, scalable architecture). - Volume of customer data: We are a consumer-facing business (5M+ customers) and have access to a massive amount of customer data across behaviours like driving/telematics, shopping, payment, etc. which helps guide our product, technical and business decisions. What you’ll own: Our first automation system was built for speed, not scale. Today, it’s a web of tightly coupled business logic and database access that makes changes risky and failures hard to debug. - Phase 1: You’ll be deep in the code, learning both the technical and business sides of our core product (insurance is very complex and every insurance provider uses different logic and behaves differently). Then you will lead incremental refactoring of our existing automation systems: designing and implementing new standards and pairing with engineers to ensure the new system is predictable and testable. - Phase 2: As the architecture stabilizes, you’ll shift towards using an AI-first approach to building the next generation of internal tools that will allow us to grow from 5M to 50M users. Who you are: - A Player Coach: You likely founded a company or were a lead architect at an early stage startup. You are a builder at heart and like being in the trenches alongside your team. - A Detective: You are obsessed with success rates. You love hunting for edge cases in complex business logic and won't stop until you understand exactly why a script failed. - A Systems Thinker: You have a high bar for system design, especially for offline, asynchronous jobs. You understand that async work requires much stricter standards for decoupling, state management, and failure retry logic than synchronous online systems. Our tech Stack: TypeScript (Nest.js, React), GraphQL, AWS (ECS/EKS, Lambda). While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai: Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.