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Lead Engineering Manager

13 hours, 18 minutes ago
United States
Full-time
Lead
Engineering Manager
Software Development
Agile AWS Azure CI/CD Docker GCP Java Kafka Kubernetes Scrum SQL
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Weekday

Weekday helps companies hire engineers who are vouched by other software engineers, enabling passive income for engineers. They offer services like drafting outreach messages, shortlisting candidates, and conducting reference checks. Backed by Y Combin...

Construction & Engineering
11-50
Founded 2020
View All Jobs 143

Description

  • Lead the architecture, design, and implementation of real-time data processing pipelines using Apache Flink.
  • Develop and maintain high-performance backend services and distributed systems using Java.
  • Design scalable event-driven architectures for high-throughput, low-latency workloads.
  • Optimize streaming jobs for performance, fault tolerance, and resource efficiency.
  • Ensure strong code quality, testing, observability, and CI/CD practices.
  • Collaborate with data engineering, DevOps, and product teams to define technical roadmaps and system requirements.
  • Conduct design reviews, troubleshoot production issues, and drive long-term reliability improvements.
  • Mentor and guide engineers while fostering technical excellence and continuous improvement.
  • Contribute to infrastructure decisions for distributed processing, cloud deployment, and containerized environments.

Requirements

  • 10–12 years of overall software engineering experience, with significant exposure to distributed systems.
  • Strong hands-on expertise in Apache Flink, including windowing, state management, checkpoints, and event-time processing.
  • Advanced proficiency in Java, including concurrency, multithreading, memory management, and performance tuning.
  • Deep understanding of data streaming architectures and real-time processing frameworks.
  • Experience with messaging systems such as Kafka or similar platforms.
  • Strong knowledge of data structures, algorithms, and system design principles.
  • Experience deploying and managing applications in cloud environments such as AWS, Azure, or GCP.
  • Familiarity with Docker and Kubernetes.
  • Solid understanding of CI/CD pipelines, automated testing frameworks, and monitoring tools.
  • Experience with SQL and NoSQL databases in high-scale environments.
  • Proven experience leading engineering teams or owning major technical initiatives.
  • Strong architectural decision-making skills with a focus on scalability and maintainability.
  • Excellent problem-solving, analytical, and communication skills.
  • Experience with big data ecosystems and real-time analytics platforms is preferred.
  • Exposure to performance benchmarking and capacity planning is preferred.
  • Experience working in Agile/Scrum environments is preferred.

Interested in this position?

Apply directly on the company website

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