Lead Backend Data Engineer

Blend360; Buenos Aires; On-site; ARS 136,046,000 - 226,744,000; Full time

Benefits offered by this job

AWS Certifications

Databricks Certification

Snowflake Certification

Udemy Business access

English lessons

Travel opportunities

Mentorship programs

Company-provided equipment

Job summary

Blend360 is seeking a Lead Backend Data Engineer to design and build scalable Java backend systems and lead distributed architectures for large-scale data processing. You will optimize multi-threaded performance, manage Kubernetes deployments, and collaborate on APIs with cross-functional teams.

Applicants should have 5+ years in backend engineering, strong Java expertise, and solid experience with data pipelines, monitoring, and observability tools.

Qualifications

• 5+ years of experience in Backend Engineering or related disciplines.
• Deep proficiency in Java with strong language features and best practices.
• Experience designing distributed systems with data consistency and fault tolerance.

Responsibilities

• Design and build scalable backend systems using Java.
• Lead architecture and implementation of distributed systems for large-scale data processing.
• Develop and optimize concurrent and multi-threaded applications with synchronization primitives.
• Build and maintain big data pipelines and infrastructure for high-volume data ingestion and storage.
• Manage containerized workloads using Kubernetes and define deployment strategies.
• Collaborate with cross-functional teams to define service contracts and APIs.
• Implement observability and monitoring for system health and performance.
• Support production deployments and drive continuous improvement.

Skills

Java

Concurrency & multi-threading

Distributed systems design

English (Advanced)

Observability & monitoring

Tools

Kubernetes

Grafana

Prometheus

Loki

Kafka

Spring Framework

SQL

Job description

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 Description

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.

Qualifications

• 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 Information

Our Perks and Benefits:

• 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.