Understand the forces shaping mobility today, powered by the industry’s most extensive global analyst team.
About the role
Mobility Global will never ask candidates to pay money at any stage of the hiring process, including for applications, interviews, background checks, training, or equipment. If you receive a suspicious communication or request for payment or personal financial information, please exercise caution and report it immediately.
What they're looking for
- 8+ years of professional software engineering experience building and operating production web applications, with a Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
- Deep front-end expertise in React — component architecture, state management, TypeScript, performance optimisation, and accessible, responsive UI
- Advanced SQL and hands-on experience across multiple database technologies — relational plus at least one vector, NoSQL, or analytical/columnar stores, including schema design and query tuning
- Excellent written and verbal communication — able to explain a design decision or a trade-off clearly to engineers, product managers, and non-technical stakeholders alike
- Strong ownership and pragmatic judgement — comfortable with ambiguity, able to scope and prioritise independently, and consistently skeptical about verifying AI-generated output rather than accepting it
- Collaborative and low-ego — gives and receives direct technical feedback well, mentors generously, and works effectively across time zones in a distributed global team
More about this role
At Mobility Global, our mission is to provide trusted information that helps billions of people build, sell, and own vehicles with confidence. As we shape the next generation of automotive intelligence through innovation, AI, and industry-leading data, we're creating new opportunities for our customers, our business, and our people.
- Design, build, and own full stack features end to end — responsive React or Angular interfaces backed by FastAPI services, deployed on AWS and used by global automotive OEMs, suppliers, and internal analytics teams.
- Build the application layer for AI systems — conversational and agentic experiences including retrieval and text-to-SQL pipelines, tool and MCP integrations, streaming interfaces, human-in-the-loop review, guardrails, and observability.
- Model and query data across multiple stores — write and tune non-trivial SQL, design schemas, and work across relational, vector, and document/NoSQL databases while keeping performance and cost in view at production scale.
- Work as a force multiplier with AI coding agents — decompose work into agent-ready tasks, write the specs, context, and guardrails that make agents effective, and apply rigorous...
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