Reward360 Global Services Pvt Ltd is India’s premier Customer Engagement Solutions Company. Headquartered in Bangalore with an office in Singapore and Dubai, our global loyalty solution has been built after years of deep understanding of customers, nuances of loyalty diaspora, the onset of big data and most importantly the simplicity of delivery across any loyalty program.
For over 10 years, R360’s loyalty and rewards platforms have driven ambitious loyalty programs for some of the world’s biggest brands – including Standard Chartered Bank, American Express and HDFC Bank. With 2000+ retail alliances in India and access to over 10 million rewards globally, gives us the edge to be one of the most exciting and growing company in Asia.
We have a multidisciplinary team of technology experts, product, engineers, data scientists, client relationship managers and customer experience professionals.
Requirements
We are looking for an Engineering Manager with a strong product and technical mindset—someone who has led highperforming teams in e-commerce, or product-driven companies. You will drive end-to-end delivery across multiple domains,
collaborating closely with foundations, security, and data teams, while mentoring your team to grow technically and
professionally.
Core Responsibilities
Guide Technical and Product Strategy: Partner in defining the technical roadmap for your area, ensuring
architectural choices and engineering efforts support overarching business goals.
- Oversee End-to-End Delivery: Work across departments—including product, design, and business teams—to
guarantee the consistent release of high-value, user-centric features.
- Develop Scalable and Robust Systems: Maintain a platform capable of serving millions of global users with a focus
on uptime, data protection, and speed.
- Handle Technical Debt: Lead efforts to modernize systems and optimize internal tools and workflows for ongoing
efficiency.
- Architect for the Future: Direct the creation of distributed, microservices-oriented architectures that remain
flexible across different cloud providers.
- Incorporate Advanced Technologies: Drive growth by integrating AI and Machine Learning into foundational
systems, specifically for predictive modelling and automated decision-making.
- Maintain Technical Involvement: Stay active in the codebase and design reviews to uphold high standards and
keep the team current with new technologies.
- Mentor and Cultivate Talent: Manage a high-achieving group of 10–15 engineers, providing the guidance and
coaching necessary for their professional growth.
- Monitor Performance and Manage Risks: Keep a close eye on project timelines and data, identifying and fixing
potential delays or obstacles before they impact delivery.
What you'll bring to the team
- Leadership Experience: A history of managing engineering teams of 10 or more individuals within fast-paced,
high-output environments.
- Engineering Background: At least 4 years of professional experience developing cloud-native, distributed systems.
- Frontend Expertise: 2–3 years of experience working with modern frameworks like React or Angular.
- Scalability Track Record: Demonstrated success in expanding the capacity and reach of platforms, products, or
services.
- Architectural Proficiency: Practical experience in the design and implementation of microservices and event driven systems (utilizing tools like Kafka or RabbitMQ).
- Technical Execution: Highly skilled in Java, Python, or Go, with a commitment to remaining active in day-to-day
engineering tasks.
- Cloud Infrastructure Mastery: Advanced understanding of cloud-native ecosystems, specifically Kubernetes and
CI/CD automation.
- Cross-Functional Collaboration: Proven ability to work effectively alongside product, security, data, and systems
design teams.
- Industry Background: Prior experience within e-commerce or product-centric organizations is a significant
advantage.
- Operational Excellence: Strong capabilities in managing projects, setting priorities, and navigating stakeholder
relationships.
Good To Have
AI & Agentic Systems Expertise: Understanding of agentic workflows, agent coding, and the Model Context
Protocol (MCP) to drive intelligent automation
