Engineering Manager

Objective of the Role As an Engineering Manager , you will serve as the technical and people leader for a high-performing engineering team , responsible for building scalable, intelligent, and cloud-native products. You will own the architecture, delivery, and evolution of modern microservices platforms , while also driving the adoption of AI-driven engineering practices, automation, and intelligent product capabilities . You will work closely with product, data, and platform teams to build AI-enabled solutions, scalable backend services, and high-performance distributed systems that support evolving business and customer needs. You Will • Lead, coach, and mentor 3–4 Engineering Leads and a team of 25–35 engineers , fostering a culture of ownership, innovation, and continuous learning. • Provide strong people leadership, mentoring, and communication , ensuring team growth and high performance. • Drive technical vision, architecture decisions, and engineering excellence across backend platforms and services. • Lead the design and development of scalable microservices-based systems using Java and cloud technologies . • Promote adoption of AI-assisted development tools, automation, and intelligent engineering workflows to improve productivity. • Collaborate with Product Managers, Data Scientists, AI/ML teams, QA, and DevOps engineers in an agile development environment. • Plan, prioritize, and manage engineering deliverables across global and cross-border teams . • Ensure best practices in code quality, observability, performance, reliability, and security . • Drive cloud-native architecture and platform scalability using containerized and distributed systems. • Encourage innovation by exploring Generative AI, LLM integrations, and AI-powered product features where relevant. • Build an inclusive and high-performing culture that attracts, develops, and retains top engineering talent . • Continuously grow as a technology leader by staying updated with modern engineering and AI trends . You Must Have • 11+ years of software engineering experience , preferably in a fast-paced product organization. • 5+ years of engineering leadership experience managing large engineering teams. • Strong experience leading backend and platform engineering teams . • Expertise in Java ecosystem (Java, Spring Boot, REST APIs) and distributed systems architecture. • Hands-on experience building microservices architectures, scalable APIs, and event-driven systems . • Experience developing solutions using cloud platforms (AWS and/or Azure) . • Experience working with AI-powered systems, data platforms, or integrating ML/AI services into applications . • Strong understanding of AI-enabled engineering tools (GitHub Copilot, AI coding assistants, automation frameworks) to improve developer productivity. • Experience with open-source technologies and modern stack , including: Java / Spring Boot Frontend frameworks (React / Angular) NoSQL databases (MongoDB, Cassandra) Search technologies (Elasticsearch) Caching systems (Redis, Aerospike) • Experience with containerization and orchestration (Docker, Kubernetes, EKS) at scale. • Strong understanding of CI/CD pipelines, DevOps practices, and release strategies including: Big Pluses If You • Have experience building AI-driven products or integrating Generative AI capabilities into applications. • Are comfortable collaborating across engineering, product, and data science teams . • Have strong expertise in concurrency, multithreading, distributed systems, and high availability architectures . • Have built systems that scale to millions of users or high transaction volumes . • Are passionate about building products that customers love . • Stay current with emerging technologies including Generative AI, cloud-native development, and modern architecture patterns . • Demonstrate founder mindset, ownership, and strong problem-solving ability .