Lead Engineering Manager

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Weekday (YC W21)

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2021

☁️ SaaS

🎯 Recrutamento

Human Resources • SaaS • Recruitment

A Weekday é uma plataforma moderna de recrutamento que combina tecnologias de IA com um vasto banco de dados de potenciais candidatos, com o objetivo de agilizar e simplificar o processo de contratação para empresas na Índia. A empresa oferece diversos serviços, incluindo uma abordagem proativa de outreach que ajuda empregadores a se conectarem com talentos de ponta, além de ferramentas para que candidatos se candidatem facilmente a vagas. O foco da Weekday em engajamento de candidatos por múltiplos canais — incluindo e-mail, WhatsApp e ligações telefônicas — a diferencia no competitivo mercado de agências de recrutamento.

Descrição

• Architect and deliver complex stream-processing solutions. • Mentor engineering teams. • Collaborate closely with cross-functional stakeholders to translate business requirements into robust technical systems. • 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.

🎯 Requisitos

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