Job ID

- 65606
- Category
- Ford Credit Services
- Location
- Chennai, India
- Work Type
- Hybrid

Ford Credit Technology Team in India is seeking an experienced Senior Engineering Manager who is skilled in software engineering practices. The Senior Engineering Manager will lead a team of Software Engineers and a Technical Program Manager based out of FBS Chennai and will be responsible to manage and deliver capabilities for FordPay (eCommerce digital payments).

This role will collaborate directly and continuously with Software Engineers, Product Managers, Designers, Architects, and Product Owners to build, validate, and release software products early and often in a dynamic and collaborative workplace, with a strong focus on payment reliability, security, and compliance. People & AI-Driven Leadership : Provides hands-on leadership and supervision for a software development team, fostering a culture of continuous learning and adaptation to modern, AI-augmented engineering workflows. Payment Delivery : Owns end-to-end delivery of FordPay payment capabilities, including credit/debit card processing flows (authorization, capture, settlement, refunds). PSP Integrations : Leads integrations and ongoing lifecycle management of Payment Service Providers (PSPs), with Stripe as the primary provider.- Transaction Integrity : Ensures transaction integrity through proven payment engineering patterns (idempotency, deduplication, retries, and safe reconciliation). AI-Enabled Software Development : Drives the adoption of AI-assisted coding tools (e.g., GitHub Copilot) to accelerate code generation, optimize refactoring, improve code readability, and reduce time-to-market while adhering to secure coding standards. AI-Enabled Quality Assurance : Establishes and champions AI-driven testing frameworks and strategies,



utilizing intelligent test generation, predictive defect analysis, and automated test-suite optimization to drastically reduce regression cycles and ensure robust coverage. AI-Powered Operational Resilience (AIOps) : Evolves the platform’s observability and reliability strategy by leveraging AI/ML-driven monitoring tools for predictive anomaly detection, proactive incident prevention, and automated root-cause analysis (RCA) of payment flows. Product Partnership : Partners with Product Managers to develop and evolve payment experiences used by Ford customers across eCommerce journeys. Risk & Compliance Mitigation : Actively identifies risks (e.g., PSP dependency, latency, fraud/chargeback exposure, compliance gaps) and implements mitigation and contingency plans, ensuring AI-generated code and tools comply with security (PCI DSS) and IP guidelines. Metrics & Telemetry : Verifies that delivered software meets desired business outcomes (payment success rates, reliability, customer experience, and operational readiness) using both traditional telemetry and AI-driven predictive insights. Incident Management : Reviews ongoing production operations; leads incident response and post-incident reviews (postmortems/RCAs) to prevent recurrence, utilizing AI-assisted diagnostics to speed up resolution times. Security & Compliance :



Ensures secure payment design and compliance posture in partnership with Security/Compliance teams (e.g., PCI DSS controls, secure token handling). Agile Practices : Actively participates in all team Agile ceremonies and champions Agile software processes, culture, best practices, and techniques. Talent Development : Develops engineering, professional, and career-related skills for engineers through coaching, mentorship, feedback, and collaborative practices—specifically preparing the workforce for the future of AI-augmented engineering.- Bachelor's degree in information technology or computer science, or similar discipline.- At least ten years of experience in a Software Engineering role with people leadership experience (engineering management). Experience leading engineering teams in adopting and optimizing AI-assisted software development tools (e.g., GitHub Copilot, Gemini Code Assist, or similar AI coding assistants) to drive developer velocity and code quality. Hands-on understanding or experience with AI-driven QA automation, predictive testing tools, and up-to-date AI-powered testing methodologies. Familiarity with AIOps concepts, including the use of machine learning for predictive telemetry, automated anomaly detection, and self-healing systems in high-availability environments. - Strong knowledge of Java, JavaScript, React, Spring Boot, and building API-first microservices.- Experience building cloud-native solutions (Google Cloud Platform preferred) and operating high-availability systems.- Strong knowledge of SQL, NoSQL, and cloud-native databases.- Strong knowledge of Software Craftsmanship practices including TDD, Clean Code, Refactoring, etc.- Experience working with DevOps/Security tools like GitHub, Cloud Build, Tekton, 42Crunch, FOSSA, SonarQube,

📌 Senior Engineering Manager (Chennai)
🏢 Ford Motor
📍 Chennai