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Engineering Manager at Weekday AI. This role is for one of the Weekday's clients. Min Experience: 7 years. Location: United States. JobType: full-time. We are looking for an experienced and driven Engineering Manager to lead high-performing teams building scalable, real-time data systems. This role requires a strong technical foundation in Java and Apache Flink, combined with leadership capabilities to guide teams through complex engineering challenges while delivering high-quality products.. As an Engineering Manager, you will be responsible for designing, developing, and scaling distributed systems, with a particular focus on stream processing and real-time data pipelines. You will collaborate closely with product, data, and infrastructure teams to define technical strategy, drive execution, and ensure system reliability and performance.. Key Responsibilities:. Lead, mentor, and manage a team of software engineers, fostering a culture of ownership, innovation, and continuous improvement. . Architect and build scalable backend systems using Java, ensuring high performance, reliability, and maintainability. . Design and implement real-time data processing pipelines using Apache Flink, handling large-scale streaming data efficiently. . Partner with cross-functional teams to translate business requirements into robust technical solutions. . Drive engineering best practices, including code quality, testing, CI/CD, and observability. . Manage project timelines, prioritize deliverables, and ensure timely execution without compromising quality. . Conduct regular performance reviews, provide constructive feedback, and support career growth of team members. . Identify and resolve performance bottlenecks in distributed systems and streaming applications. . Stay updated with emerging technologies and evaluate their adoption to improve system capabilities. . Required Skills & Qualifications:. 7–17 years of professional experience in software engineering, with at least 2–5 years in a leadership or managerial role. . Strong expertise in Java, including multithreading, concurrency, and performance optimization. . Hands-on experience with Apache Flink for building real-time stream processing applications. . Solid understanding of distributed systems, event-driven architecture, and data streaming concepts. . Experience working with big data technologies (e.g., Kafka, Hadoop, Spark) is highly desirable. . Proficiency in designing RESTful APIs and microservices architecture. . Strong problem-solving skills and ability to handle complex technical challenges. . Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes) is a plus. . Excellent communication and stakeholder management skills.. Company Location: India.