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.

Requirements

Key Responsibilities:

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• Lead, mentor, and manage a team of software engineers, fostering a culture of ownership, innovation, and continuous improvement.
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• Architect and build scalable backend systems using Java, ensuring high performance, reliability, and maintainability.
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• Design and implement real-time data processing pipelines using Apache Flink, handling large-scale streaming data efficiently.
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• Partner with cross-functional teams to translate business requirements into robust technical solutions.
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• Drive engineering best practices, including code quality, testing, CI/CD, and observability.
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• Manage project timelines, prioritize deliverables, and ensure timely execution without compromising quality.
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• Conduct regular performance reviews, provide constructive feedback, and support career growth of team members.
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• Identify and resolve performance bottlenecks in distributed systems and streaming applications.
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• Stay updated with emerging technologies and evaluate their adoption to improve system capabilities.
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Required Skills & Qualifications:

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• 7–17 years of professional experience in software engineering, with at least 2–5 years in a leadership or managerial role.
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• Strong expertise in Java, including multithreading, concurrency, and performance optimization.
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• Hands-on experience with Apache Flink for building real-time stream processing applications.
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• Solid understanding of distributed systems, event-driven architecture, and data streaming concepts.
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• Experience working with big data technologies (e.g., Kafka, Hadoop, Spark) is highly desirable.
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• Proficiency in designing RESTful APIs and microservices architecture.
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• Strong problem-solving skills and ability to handle complex technical challenges.
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• Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes) is a plus.
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• Excellent communication and stakeholder management skills.
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