Engineering Manager

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.