Engineering Manager

</strong>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. Requirements 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.

• 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.