# Lead Engineer

> Weekday AI · United States (Remote) · Full-time · Posted 2026-03-03

**Workplace:** remote

**Department:** Weekday's Client via platform

## Description

**This role is for one of the Weekday's clients**

Min Experience: 10 years

Location: USA

JobType: full-time  
  
As a Lead Engineer, you will play a pivotal role in architecting and delivering complex stream-processing solutions, mentoring engineering teams, and collaborating closely with cross-functional stakeholders to translate business requirements into robust technical systems.

## Requirements

### Key Responsibilities

-   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 capable of handling high-throughput and low-latency workloads.
-   Optimize streaming jobs for performance, fault tolerance, and resource efficiency.
-   Ensure best practices in code quality, testing, observability, and CI/CD processes.
-   Collaborate with data engineering, DevOps, and product teams to define technical roadmaps and system requirements.
-   Conduct design reviews, troubleshoot production issues, and implement long-term reliability improvements.
-   Mentor and guide engineers, fostering a culture of technical excellence and continuous improvement.
-   Contribute to infrastructure decisions related to distributed processing, cloud deployment, and containerized environments.

### Required Skills & Qualifications

-   10–12 years of overall experience in software engineering, with significant exposure to distributed systems.
-   Strong hands-on expertise in **Apache Flink**, including stream processing concepts such as 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 working with messaging systems (e.g., Kafka or similar platforms).
-   Strong knowledge of data structures, algorithms, and system design principles.
-   Experience deploying and managing applications in cloud environments (AWS, Azure, or GCP).
-   Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes.
-   Solid understanding of CI/CD pipelines, automated testing frameworks, and monitoring tools.
-   Experience with SQL and NoSQL databases in high-scale environments.

### Leadership & Soft Skills

-   Proven experience leading engineering teams or owning major technical initiatives.
-   Strong architectural decision-making abilities with a focus on scalability and maintainability.
-   Excellent problem-solving and analytical skills.
-   Ability to communicate complex technical concepts to both technical and non-technical stakeholders.
-   Strong ownership mindset and commitment to delivering high-quality solutions.

### Preferred Qualifications

-   Experience with big data ecosystems and real-time analytics platforms.
-   Exposure to performance benchmarking and capacity planning.
-   Experience working in Agile/Scrum environments.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/BAE32E1D55/apply)

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