Engineering Manager

🕒 April 15

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Weekday (YC W21)

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

☁️ SaaS

🎯 Recruiter

Human Resources • SaaS • Recruitment

Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.

📋 Description

• 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.

🎯 Requirements

• 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.