Lead and manage engineering strategy and execution for iRetail and iFly RES platforms, ensuring high-quality delivery, modern architecture, and adoption of AI across engineering.
Job Location: Bangalore, Chennai, Cochin & Trivandrum
Key Responsibilities
Strategic & Technical Leadership
- Own engineering strategy, architecture, and execution for iRetail and iFly RES platforms
- Drive platform scalability, reliability, security, and performance excellence
- Lead application modernization initiatives with incremental migration from legacy systems
- Establish technology roadmaps aligned with product and business objectives
Large-Scale Organization Leadership
- Lead a large product development organization with multiple Tribes and Tribe Leads
- Build strong leadership pipelines including Engineering Managers, Tech Leads, and Architects
- Foster a high-performance, accountability-driven engineering culture
Delivery & Execution Excellence
- Ensure predictable, high-quality delivery across agile programs
- Drive continuous improvement in velocity, quality, and customer outcomes
- Partner with Product, QA, DevOps, and Implementation teams for seamless releases
Engineering Governance & Quality
- Implement best-in-class engineering practices including:
- CI/CD pipelines with touchless releases
- Automated testing (unit, service, integration)
- Code quality, security, and performance standards
- Ensure enterprise-grade design and build practices
Implementation Enablement
- Work closely with implementation teams to:
- Define scalable delivery frameworks
- Establish engineering enablement processes
- Support customer delivery expectations and success
Required Technical Competencies
Core Technologies
- Strong hands-on engineering background in:
- Java / J2EE enterprise platforms (mandatory)
- Frontend technologies – Angular (primary), React exposure preferred
Modern Architecture Experience
- Microservices-based architectures
- RESTful APIs and GraphQL
- Event-driven and distributed systems
Data Platforms
- SQL and NoSQL databases
- High-availability, high-performance backend systems
Engineering Tooling & Practices
- CI/CD environments with frequent automated releases
- Test automation frameworks
- DevOps and cloud-native exposure (preferred)
Agile & Scale Leadership Experience
- Proven experience leading large agile product teams
- Strong background in scaled agile frameworks
- Experience managing cross-tribe dependencies and delivery outcomes
AI Adoption & SDLC Modernization
- Lead adoption of AI/GenAI across engineering
- Define a modern AI‑enabled SDLC, including AI‑assisted development, testing, documentation, and code quality practices.
- Establish governance and best practices for safe and responsible use of AI tools and models.
- Integrate AI capabilities into platform and product roadmaps to drive efficiency and modernization.
- Enable teams through AI upskilling, tool standardization, and clear performance KPIs.
Behavioral & Ownership Expectations
- Demonstrates strong end-to-end ownership of platforms and delivery
- Effectively balances legacy platform maintenance with modernization programs
- Drives transformation roadmaps with clear milestones and sprint-level visibility
- Strong stakeholder management across business, product, and delivery organizations
- Data-driven decision making and execution focus
Preferred Qualifications
- 18+ years of overall engineering experience
- Experience in enterprise product organizations or SaaS platforms
- Exposure to large-scale platform modernization programs
- Travel/transportation domain experience is a plus
Top Skills
Angular
Ci/Cd
DevOps
GraphQL
J2Ee
Java
Microservices
NoSQL
React
Restful Apis
SQL
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