Engineering Manager

Key Accountabilities

Lead and manage a team of Full Stack Product Engineers working on MobiLytix Rewards, ensuring strong ownership, accountability, and delivery discipline across the team. Own end-to-end engineering delivery for the MR product area, including feature development, product quality, platform stability, scalability, and operational excellence. Take direct accountability for the performance, output, and growth of the MR development team, ensuring commitments are delivered with the right quality and within planned timelines. Work closely with Product Management, Architecture, QA, DevOps, and Support teams to translate business requirements into technical execution plans, sprint goals, and engineering roadmaps. Provide strong technical leadership across the full stack landscape used in MR, including frontend, backend, APIs, microservices, cloud deployment, and data workflows. Guide the team in building scalable and maintainable applications using React, TypeScript, Node.js, Express, and modern engineering practices. Review designs, APIs, integrations, code quality, and implementation approaches to ensure alignment with platform standards, reusability, maintainability, and long-term product direction. Ensure the team follows strong software engineering practices including coding standards, code reviews, design reviews, documentation, automated testing, and secure development practices. Drive engineering ownership for production stability by ensuring developers actively participate in debugging, root cause analysis, issue resolution, and preventive improvements. Partner with DevOps teams to strengthen CI/CD pipelines, deployment automation, release reliability, and cloud-native operations across AWS environments. Oversee development practices related to containerization, microservices, and orchestration to ensure the product remains resilient, scalable, and operationally efficient. Ensure proper design and implementation of data pipelines, workflows, and integrations, including ingestion, transformation, enrichment, and aggregation needs within the MR platform. Collaborate with QA teams to improve test coverage, shift-left quality practices, automation maturity, and release confidence. Act as the primary engineering escalation point for critical technical and production issues within the MR scope and drive teams toward timely closure and permanent fixes. Build a strong culture of accountability where each developer owns outcomes, not just tasks, and demonstrates commitment to product quality and customer impact. Mentor and coach developers on technical skills, architecture awareness, debugging, ownership mindset, collaboration, and professional growth. Conduct regular performance reviews, feedback discussions, career development planning, and capability building for the team. Track team health, velocity, quality, and delivery effectiveness, and continuously improve engineering execution through retrospectives and process improvement. Encourage innovation and continuous improvement by driving adoption of modern practices in SaaS engineering, observability, cloud-native development, and AI/GenAI where relevant. Stay current with evolving product engineering practices, modern architectures, data-driven systems, and emerging technologies relevant to loyalty and rewards platforms.

Mandatory Skills

Bachelor’s degree in Computer Science / Engineering or equivalent practical experience. 9-12 years of experience in software engineering, with strong experience in leading product engineering teams. Proven experience managing and mentoring full stack development teams in product or SaaS environments. Strong technical background in full stack engineering with hands-on understanding of: JavaScript / TypeScript React Node.js / Express API-first and microservices-based application development Strong understanding of scalable frontend and backend design for enterprise-grade product platforms. Experience with databases and data-intensive application development, preferably involving Postgres and other modern data platforms. Good understanding of CI/CD pipelines and engineering release practices using tools such as GitHub Actions, GitLab CI/CD, or similar platforms. Experience working with AWS environments and cloud-native product deployment models. Strong understanding of Docker, Kubernetes, and microservices architecture. Practical experience with observability, monitoring, and production support practices. Strong debugging, problem-solving, and system-level thinking skills. Experience collaborating effectively with Product Management, QA, DevOps, Support, and Architecture teams. Ability to manage team delivery, set expectations, drive accountability, and ensure closure of commitments. Strong people management capabilities including coaching, feedback, performance management, and team development. High ownership mindset, execution focus, and ability to lead from the front.

Desirable Skills

Experience working on loyalty, rewards, retail, digital commerce, or customer engagement platforms. Experience building or managing SaaS / multi-tenant product platforms. Familiarity with event-driven architecture and streaming technologies such as Kafka. Exposure to data pipeline and workflow orchestration platforms such as Apache NiFi or similar tools. Understanding of product observability, reliability engineering, and platform stability practices. Exposure to AI / GenAI use cases in product engineering, analytics, automation, or developer productivity. Knowledge of cloud security and secure software engineering practices. Prior experience in scaling teams, improving engineering maturity, and driving execution excellence in product organizations.