后端数据负责人
Lead Backend Data Engineer
Blend 是一家领先的 AI 服务提供商，致力于通过数据科学、人工智能、技术和人才的合力，为客户创造有意义的影响。公司使命是激发大胆的愿景，通过将人类专业知识与人工智能无缝结合，解决重大挑战。公司通过世界级的人才和数据驱动的战略，为客户提供价值并推动创新。我们相信，人与 AI 的力量可以对你的世界产生深远影响，为我们的员工和客户创造更有意义的工作和项目。更多信息请访问 www.blend360.com
我们正在寻找一名 首席后端数据工程师，为公司的下一轮增长和扩展做出贡献。
这个职位是做什么的？
· 使用 Java 设计和构建可扩展的后端系统，具备生产级应用开发的深厚专业知识。
· 主导分布式系统的架构和实现，确保在处理大规模数据处理的复杂多服务环境中，系统的可靠性、可扩展性和性能。
· 开发和优化并发和多线程应用程序，实现线程同步模式、锁、屏障和原子操作，用于高性能、数据密集型系统。
· 构建和维护大数据管道和基础设施，以处理大规模数据的摄入、处理和存储。
· 使用 Kubernetes 管理容器化工作负载，定义部署策略、扩展策略和资源管理，用于处理大数据工作负载的后端服务。
· 与跨职能团队合作，定义服务契约、API 和集成模式。
· 实现可观测性和监控解决方案，确保系统健康和性能可见性。
· 支持生产部署，排查复杂问题，并推动持续改进计划。
- 对 Java 有深入的掌握，具备对高级语言特性和最佳实践的深刻理解。
- 具备并发模式、多线程、线程同步（锁、屏障、互斥锁）、原子操作和 volatile 语义的扎实经验。
- 有实际经验设计和实现分布式系统，包括一致性、容错和数据复制等挑战。
- 具备 Kubernetes 在容器编排、部署策略和服务管理方面的实践经验（期望有生产环境的经验）。
- 强大的 SQL 能力
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Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com
We are seeking a Lead Backend Data Engineer to contribute to our next level of growth and expansion.
What is this position about?
· Design and build scalable backend systems using Java, with deep expertise in production-grade application development.
· Lead the architecture and implementation of distributed systems, ensuring reliability, scalability, and performance across complex multi-service environments handling large-scale data processing.
· Develop and optimize concurrent and multi-threaded applications, implementing thread synchronization patterns, locks, barriers, and atomic operations for high-performance, data-intensive systems.
· Build and maintain big data pipelines and infrastructure to handle high-volume data ingestion, processing, and storage at scale.
· Manage containerized workloads using Kubernetes, defining deployment strategies, scaling policies, and resource management for backend services processing big data workloads.
· Collaborate with cross-functional teams to define service contracts, APIs, and integration patterns.
· Implement observability and monitoring solutions to ensure system health and performance visibility.
· Support production deployments, troubleshoot complex issues, and drive continuous improvement initiatives.
- Deep proficiency in Java with strong understanding of advanced language features and best practices.
- Solid expertise in concurrency patterns, multi-threading, thread synchronization (locks, barriers, mutexes), atomic operations, and volatile semantics.
- Proven hands-on experience designing and implementing distributed systems, including challenges like consistency, fault tolerance, and data replication.
- Practical knowledge of Kubernetes for container orchestration, deployment strategies, and service management (production-level exposure expected).
- Strong SQL and database design fundamentals.
- Experience with system profiling, performance analysis, and optimization techniques.
- Familiarity with monitoring and observability tools such as Grafana, Prometheus, or Loki.
- Excellent problem-solving skills and ability to debug complex, distributed system issues.
- Strong communication skills and ability to mentor and collaborate with team members.
- Experience with Spring Framework or other modern Java backend frameworks is a plus.
- Background in Kafka or event-streaming architectures is a plus.
- Familiarity with reactive programming frameworks or reactive systems design is a plus.
- Prior experience in programmatic advertising or real-time data processing systems is a plus.
- What about languages?
- English: Advanced (required for effective communication with global teams)
- How much experience must I have?
- 5+ years of experience in Backend Engineering or related disciplines such as Systems Engineering or Full-Stack Development, with demonstrated expertise in distributed systems and multi-threaded application design.
Our Perks and Benefits:
📚 Learning Opportunities:
· Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
· Access to AI learning paths to stay up to date with the latest technologies.
· Study plans, courses, and additional certifications tailored to your role.
· Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
· English lessons to support your professional communication.
👨🏽💻 Travel opportunities to attend industry conferences and meet clients.
👩🏫 Mentoring and Development:
· Career development plans and mentorship programs to help shape your path.
🎁 Celebrations & Support:
· Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.
· Company-provided equipment.
⚖️ Flexible working options to help you strike the right balance.
Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.
So what are the next steps? Our team is eager to learn about you! Send us your resume or LinkedIn profile below and we'll explore working together!