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 environment, with a strong focus on payment reliability, security, and compliance.
The ideal candidate brings deep experience in payment processing systems (credit card flows), PSP integrations (Stripe), modern cloud-native engineering, and operational excellence for high-availability platforms. Crucially, this leader will champion the modernization of our engineering lifecycle by guiding the team in leveraging AI-enabled software development, AI-driven quality assurance, and AI-powered operational resilience (AIOps) to accelerate delivery, optimize quality, and ensure maximum platform uptime.
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).
Technical Architecture: Facilitates technical architecture discussions around application functionality, payment domain modeling, integration patterns, and the integration of AI capabilities where appropriate.
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.
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.
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.
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.
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 working with DevOps/Security tools like GitHub, Cloud Build, Tekton, 42Crunch, FOSSA, SonarQube, Cycode, etc.
Payments domain experience: credit/debit card processing flows, integration with PSPs (Stripe preferred), tokenization/vaulting concepts, refunds and dispute/chargeback handling.
Familiarity with security and compliance expectations for payment systems (PCI DSS, secure data handling, encryption, access controls).
