Lead Engineer

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Weekday (YC W21)

Site WebLinkedInTous les Emplois

11 - 50 employés

Fondée en 2021

☁️ SaaS

🎯 Recrutement

Human Resources • SaaS • Recruitment

Weekday est une plateforme de recrutement moderne qui combine des technologies d'IA avec une vaste base de données de candidats potentiels, visant à simplifier le processus d'embauche pour les entreprises en Inde. Ils proposent divers services, y compris une approche proactive qui aide les employeurs à se connecter avec les meilleurs talents et offrent des outils pour faciliter la candidature des candidats à des postes. L'accent mis par Weekday sur l'engagement des candidats à travers plusieurs canaux, y compris les emails, WhatsApp et les appels téléphoniques, les distingue dans le paysage concurrentiel des agences de recrutement.

Description

• Architect and deliver complex stream-processing solutions. • Mentor engineering teams and foster a culture of technical excellence. • Collaborate with cross-functional stakeholders for robust technical systems. • Optimize streaming jobs for performance, fault tolerance, and resource efficiency. • Conduct design reviews and troubleshoot production issues. • Develop and maintain high-performance backend services and distributed systems using Java. • Design scalable event-driven architectures for high-throughput workloads.

🎯 Exigences

• 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.