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.
Job DescriptionWhat 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.
Additional InformationOur 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!
Skills Required
- 5+ years of experience in backend engineering or related disciplines, with expertise in distributed systems and multithreaded application design
- Deep proficiency in Java and advanced Java language features
- Expertise in concurrency patterns, multithreading, thread synchronization, locks, barriers, mutexes, atomic operations, and volatile semantics
- Hands-on experience designing and implementing distributed systems, including consistency, fault tolerance, and data replication
- Production-level Kubernetes experience for container orchestration, deployment strategies, and service management
- Strong SQL and database design fundamentals
- Experience with system profiling, performance analysis, and optimization
- Familiarity with monitoring and observability tools such as Grafana, Prometheus, or Loki
- Strong problem-solving skills and ability to debug complex distributed-system issues
- Strong communication skills and ability to mentor and collaborate with team members
- Advanced English proficiency
- Experience with Spring Framework or other modern Java backend frameworks
- Background in Kafka or event-streaming architectures
- Familiarity with reactive programming frameworks or reactive systems design
- Prior experience in programmatic advertising or real-time data processing systems
Blend360 Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Blend360 and has not been reviewed or approved by Blend360.
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Fair & Transparent Compensation — Pay is considered fair-to-good by many, and public salary postings for common data roles indicate competitive packages in numerous markets. Feedback suggests overall company sentiment aligns with acceptable compensation relative to peers in consulting and analytics.
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Flexible Benefits — Flexible and remote/hybrid work arrangements are consistently highlighted in official materials and role descriptions. Feedback suggests flexibility is a meaningful part of the total rewards experience.
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Retirement Support — A 401(k) with company match is part of the core package. Feedback suggests retirement offerings are standard and contribute to a complete benefits set.
Blend360 Insights
What We Do
Our Vision is to build a company of world-class people that helps our clients optimize business performance through data, technology and analytics. Blend360 has two divisions: Data Science Solutions: We work at the intersection of data, technology and analytics. Talent Solutions: We live and breathe the digital and talent marketplace.
