Senior Full Stack Engineer (Python+ React… at S&P Global… · Bengaluru

Senior Full Stack Engineer (Python+ React or Angular)

Location: Bengaluru, Karnataka

Why Mobility Global?

At Mobility Global, our mission is to provide the 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.

Join a team singularly focused on transforming the automotive industry. S&P Global Mobility is Mobility Global — the company behind CARFAX, automotiveMastermind, Market Scan, and Polk Automotive Solutions. Our strength comes from our people, and here, the progress you make helps the entire automotive ecosystem move faster and with greater confidence.

The Team:

This is a unique opportunity to join a newly formed Mobility Global organisation at a defining stage of its technology journey.

We build the conversational analytics products, shared AI services, and agent platforms that sit on top of the industry’s deepest automotive dataset, and we build the internal tooling that drives AI adoption across the PDLC/SDLC, from requirements and design through code, testing, and release. We are a small, senior, product-minded team that owns its work end to end, from the React front end a customer touches through the FastAPI services and data layer behind it to the evaluation harnesses that tell us whether the answer was right. We work AI-natively by default: coding agents, agentic workflows, and LLM-assisted review are part of how the team ships every day, not a side experiment, and we care as much about engineering judgement as we do about raw output.

Responsibilities and Impact:

• 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 review so quality and security rise rather than drift.
• Raise the engineering bar for the team — lead design discussions, review code and agent-generated output, define patterns and reusable components, and mentor engineers on both craft and AI-native ways of working.
• Partner directly with product, data science, and business stakeholders — shape requirements, prototype quickly, and see features through to measurable adoption in a global, cross-regional organisation with real room to grow into technical leadership.

What We’re Looking For:

Basic Required Qualifications:

• 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 or Angular — component architecture, state management, TypeScript, performance optimisation, and accessible, responsive UI.
• Strong back-end engineering in Python with FastAPI (or equivalent modern async framework) — REST and streaming API design, authentication and authorisation, testing, and CI/CD.
• Advanced SQL and hands-on experience across multiple database technologies — relational plus at least one of vector, NoSQL, or analytical/columnar stores, including schema design and query tuning.
• Demonstrated experience building AI-powered systems — LLM application development, RAG or agentic patterns, prompt and context engineering, and evaluation or guardrail design — together with daily, fluent use of AI coding agents (Claude Code, Cursor, GitHub Copilot or similar) in a real delivery workflow.
• 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 sceptical 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.

Additional Preferred Qualifications:

• Experience taking an AI product from prototype to production — evaluation harnesses, golden datasets, tracing and observability (LangFuse, OpenTelemetry or similar), cost and latency tuning, and safe rollout.
• Familiarity with agent frameworks and protocols — multi-agent orchestration, MCP servers and tooling, agent SDKs, or serverless agent runtimes on AWS.
• Cloud and platform depth on AWS — containerised deployment, infrastructure as code, observability, and security-conscious design for enterprise workloads.
• Domain exposure to automotive, mobility, or large-scale data and analytics products, or experience working with data governance, semantic/ontology layers, and entitlement models.
• Coaching instinct — has helped a team adopt new tools or ways of working and enjoys levelling others up.
• Product sense — asks why a feature matters to the user, and pushes back constructively when the answer isn’t clear.
• Continuous learner — keeps pace with a fast-moving AI landscape and brings ideas back to the team.

This is a hybrid role with in-office expectations determined by location and subject to change based on evolving business needs.

What’s In It for You

• Competitive compensation package, including base salary and incentive opportunities where applicable.
• Comprehensive health and wellness benefits for employees and eligible dependents.
• Retirement savings programs, including company matching contributions where available.

Equal Opportunity Employer

Mobility Global is proud to be an Equal Opportunity Employer. We value diverse perspectives and are committed to fostering an inclusive workplace where everyone is respected, supported, and empowered to succeed. We provide reasonable accommodations throughout the hiring process and employment for qualified individuals with disabilities.

Recruitment Fraud Alert

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.